[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-4230d514c9b90f01-evaluating-input-representations-for-multimodal-do-summary":3,"summaries-facets-categories":99,"summary-related-4230d514c9b90f01-evaluating-input-representations-for-multimodal-do-summary":7805},{"id":4,"title":5,"ai":6,"body":13,"categories":66,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":71,"navigation":83,"path":84,"published_at":85,"question":68,"scraped_at":85,"seo":86,"sitemap":87,"source_id":88,"source_name":89,"source_type":90,"source_url":76,"stem":91,"tags":92,"thumbnail_url":68,"tldr":96,"tweet":68,"unknown_tags":97,"__hash__":98},"summaries\u002Fsummaries\u002F4230d514c9b90f01-evaluating-input-representations-for-multimodal-do-summary.md","Evaluating Input Representations for Multimodal Document QA",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4063,518,3198,0.00179275,{"type":14,"value":15,"toc":59},"minimark",[16,21,25,29,52,56],[17,18,20],"h2",{"id":19},"the-trade-offs-of-document-representation","The Trade-offs of Document Representation",[22,23,24],"p",{},"Multimodal Document Question Answering (QA) systems currently rely on three primary input strategies: processing raw document pixels (vision-only), using OCR-extracted text (text-only), or combining both (hybrid). This research investigates how these representations influence model performance, specifically looking at how well models interpret spatial layout versus semantic content.",[17,26,28],{"id":27},"key-findings-on-input-modalities","Key Findings on Input Modalities",[30,31,32,40,46],"ul",{},[33,34,35,39],"li",{},[36,37,38],"strong",{},"Pixel-based representations"," excel at capturing complex spatial relationships, such as tables, charts, and non-linear document flows, but are computationally expensive and prone to resolution-related information loss.",[33,41,42,45],{},[36,43,44],{},"Text-based representations"," are highly efficient and leverage the strong reasoning capabilities of LLMs, but they often lose critical structural context (e.g., column alignment, visual hierarchy) that is essential for accurate document interpretation.",[33,47,48,51],{},[36,49,50],{},"Hybrid approaches"," typically provide the best performance by grounding semantic text in visual spatial context, though they introduce significant challenges in token length management and cross-modal alignment.",[17,53,55],{"id":54},"practical-implications-for-model-architecture","Practical Implications for Model Architecture",[22,57,58],{},"The study suggests that the optimal representation strategy is highly dependent on the document type. For dense, text-heavy documents, text-only or text-heavy hybrid models outperform vision-only models. Conversely, for documents where visual layout is the primary carrier of information (like invoices or scientific posters), pixel-based or vision-heavy hybrid models are necessary to maintain accuracy. The authors emphasize that developers must balance the high latency of visual encoders against the potential loss of structural intelligence when opting for text-only pipelines.",{"title":60,"searchDepth":61,"depth":61,"links":62},"",2,[63,64,65],{"id":19,"depth":61,"text":20},{"id":27,"depth":61,"text":28},{"id":54,"depth":61,"text":55},[67],"AI & LLMs",null,"md",false,{"content_references":72,"triage":78},[73],{"type":74,"title":75,"url":76,"context":77},"paper","Text, Pixels, or Both? Evaluating Input Representations for Multimodal Document QA","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.22628","reviewed",{"relevance":79,"novelty":80,"quality":79,"actionability":80,"composite":81,"reasoning":82},4,3,3.6,"Category: AI & LLMs. The article discusses the impact of different input representations on multimodal document QA systems, which is relevant to AI engineering and addresses a specific audience pain point regarding model performance. It provides insights into the trade-offs of various approaches, but lacks detailed actionable steps for implementation.",true,"\u002Fsummaries\u002F4230d514c9b90f01-evaluating-input-representations-for-multimodal-do-summary","2026-09-24 03:20:59",{"title":5,"description":60},{"loc":84},"4230d514c9b90f01","arXiv cs.AI","article","summaries\u002F4230d514c9b90f01-evaluating-input-representations-for-multimodal-do-summary",[93,94,95],"research","machine-learning","ai-llms","This research evaluates whether multimodal document QA models perform better using raw pixel data, extracted text, or a hybrid approach, finding that representation choice significantly impacts accuracy and efficiency.",[95],"M4N-xGHEI8E6UuWXWuqtJQmgBPeNNraoNO9LYN3WIXE",[100,102,105,107,110,112,115,118,120,122,124,126,129,132,134,136,138,140,143,145,147,149,151,154,156,158,160,162,164,166,168,170,172,174,176,178,180,182,184,186,188,190,192,194,196,198,200,202,204,206,209,211,213,215,217,219,221,223,225,227,229,231,233,235,237,239,241,244,246,248,250,252,254,256,258,260,262,264,266,268,270,272,274,276,278,280,282,284,287,289,291,293,295,297,299,301,303,305,307,309,311,313,315,317,319,321,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,397,399,401,403,405,407,409,411,413,415,417,420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,453,455,457,459,461,463,465,467,469,471,473,475,477,479,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,536,538,540,542,544,546,548,551,553,555,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,599,601,603,605,607,609,611,613,615,617,619,621,623,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,943,945,947,949,951,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1691,1693,1695,1697,1699,1701,1703,1705,1707,1709,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2288,2290,2292,2294,2296,2298,2300,2302,2304,2306,2308,2310,2312,2314,2316,2318,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2948,2950,2952,2954,2956,2958,2960,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4232,4234,4236,4238,4240,4242,4244,4246,4248,4250,4252,4254,4256,4258,4260,4262,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519,6521,6523,6525,6527,6529,6531,6533,6535,6537,6539,6541,6543,6545,6547,6549,6551,6553,6555,6557,6559,6561,6563,6565,6567,6569,6571,6573,6575,6577,6579,6581,6583,6585,6587,6589,6591,6593,6595,6597,6599,6601,6603,6605,6607,6609,6611,6613,6615,6617,6619,6621,6623,6625,6627,6629,6631,6633,6635,6637,6639,6641,6643,6645,6647,6649,6651,6653,6655,6657,6659,6661,6663,6665,6667,6669,6671,6673,6675,6677,6679,6681,6683,6685,6687,6689,6691,6693,6695,6697,6699,6701,6703,6705,6707,6709,6711,6713,6715,6717,6719,6721,6723,6725,6727,6729,6731,6733,6735,6737,6739,6741,6743,6745,6747,6749,6751,6753,6755,6757,6759,6761,6763,6765,6767,6769,6771,6773,6775,6777,6779,6781,6783,6785,6787,6789,6791,6793,6795,6797,6799,6801,6803,6805,6807,6809,6811,6813,6815,6817,6819,6821,6823,6825,6827,6829,6831,6833,6835,6837,6839,6841,6843,6845,6847,6849,6851,6853,6855,6857,6859,6861,6863,6865,6867,6869,6871,6873,6875,6877,6879,6881,6883,6885,6887,6889,6891,6893,6895,6897,6899,6901,6903,6905,6907,6909,6911,6913,6915,6917,6919,6921,6923,6925,6927,6929,6931,6933,6935,6937,6939,6941,6943,6945,6947,6949,6951,6953,6955,6957,6959,6961,6963,6965,6967,6969,6971,6973,6975,6977,6979,6981,6983,6985,6987,6989,6991,6993,6995,6997,6999,7001,7003,7005,7007,7009,7011,7013,7015,7017,7019,7021,7023,7025,7027,7029,7031,7033,7035,7037,7039,7041,7043,7045,7047,7049,7051,7053,7055,7057,7059,7061,7063,7065,7067,7069,7071,7073,7075,7077,7079,7081,7083,7085,7087,7089,7091,7093,7095,7097,7099,7101,7103,7105,7107,7109,7111,7113,7115,7117,7119,7121,7123,7125,7127,7129,7131,7133,7135,7137,7139,7141,7143,7145,7147,7149,7151,7153,7155,7157,7159,7161,7163,7165,7167,7169,7171,7173,7175,7177,7179,7181,7183,7185,7187,7189,7191,7193,7195,7197,7199,7201,7203,7205,7207,7209,7211,7213,7215,7217,7219,7221,7223,7225,7227,7229,7231,7233,7235,7237,7239,7241,7243,7245,7247,7249,7251,7253,7255,7257,7259,7261,7263,7265,7267,7269,7271,7273,7275,7277,7279,7281,7283,7285,7287,7289,7291,7293,7295,7297,7299,7301,7303,7305,7307,7309,7311,7313,7315,7317,7319,7321,7323,7325,7327,7329,7331,7333,7335,7337,7339,7341,7343,7345,7347,7349,7351,7353,7355,7357,7359,7361,7363,7365,7367,7369,7371,7373,7375,7377,7379,7381,7383,7385,7387,7389,7391,7393,7395,7397,7399,7401,7403,7405,7407,7409,7411,7413,7415,7417,7419,7421,7423,7425,7427,7429,7431,7433,7435,7437,7439,7441,7443,7445,7447,7449,7451,7453,7455,7457,7459,7461,7463,7465,7467,7469,7471,7473,7475,7477,7479,7481,7483,7485,7487,7489,7491,7493,7495,7497,7499,7501,7503,7505,7507,7509,7511,7513,7515,7517,7519,7521,7523,7525,7527,7529,7531,7533,7535,7537,7539,7541,7543,7545,7547,7549,7551,7553,7555,7557,7559,7561,7563,7565,7567,7569,7571,7573,7575,7577,7579,7581,7583,7585,7587,7589,7591,7593,7595,7597,7599,7601,7603,7605,7607,7609,7611,7613,7615,7617,7619,7621,7623,7625,7627,7629,7631,7633,7635,7637,7639,7641,7643,7645,7647,7649,7651,7653,7655,7657,7659,7661,7663,7665,7667,7669,7671,7673,7675,7677,7679,7681,7683,7685,7687,7689,7691,7693,7695,7697,7699,7701,7703,7705,7707,7709,7711,7713,7715,7717,7719,7721,7723,7725,7727,7729,7731,7733,7735,7737,7739,7741,7743,7745,7747,7749,7751,7753,7755,7757,7759,7761,7763,7765,7767,7769,7771,7773,7775,7777,7779,7781,7783,7785,7787,7789,7791,7793,7795,7797,7799,7801,7803],{"categories":101},[67],{"categories":103},[104],"Developer Productivity",{"categories":106},[67],{"categories":108},[109],"Business & SaaS",{"categories":111},[67],{"categories":113},[114],"AI Automation",{"categories":116},[117],"Product Strategy",{"categories":119},[114],{"categories":121},[67],{"categories":123},[104],{"categories":125},[114],{"categories":127},[128],"Software Engineering",{"categories":130},[131],"Data Science & Visualization",{"categories":133},[67],{"categories":135},[109],{"categories":137},[],{"categories":139},[67],{"categories":141},[142],"Inference & Serving",{"categories":144},[67],{"categories":146},[67],{"categories":148},[114],{"categories":150},[],{"categories":152},[153],"AI News & Trends",{"categories":155},[131],{"categories":157},[114],{"categories":159},[67],{"categories":161},[67],{"categories":163},[67],{"categories":165},[109],{"categories":167},[104],{"categories":169},[67],{"categories":171},[114],{"categories":173},[153],{"categories":175},[67],{"categories":177},[114],{"categories":179},[114],{"categories":181},[67],{"categories":183},[67],{"categories":185},[114],{"categories":187},[67],{"categories":189},[67],{"categories":191},[67],{"categories":193},[109],{"categories":195},[114],{"categories":197},[153],{"categories":199},[67],{"categories":201},[67],{"categories":203},[67],{"categories":205},[],{"categories":207},[208],"Design & Frontend",{"categories":210},[67],{"categories":212},[131],{"categories":214},[67],{"categories":216},[153],{"categories":218},[67],{"categories":220},[67],{"categories":222},[67],{"categories":224},[],{"categories":226},[67],{"categories":228},[67],{"categories":230},[114],{"categories":232},[128],{"categories":234},[67],{"categories":236},[67],{"categories":238},[114],{"categories":240},[67],{"categories":242},[243],"Marketing & Growth",{"categories":245},[208],{"categories":247},[67],{"categories":249},[114],{"categories":251},[67],{"categories":253},[67],{"categories":255},[128],{"categories":257},[67],{"categories":259},[],{"categories":261},[],{"categories":263},[208],{"categories":265},[67],{"categories":267},[114],{"categories":269},[104],{"categories":271},[128],{"categories":273},[114],{"categories":275},[208],{"categories":277},[67],{"categories":279},[117],{"categories":281},[67],{"categories":283},[128],{"categories":285},[286],"DevOps & Cloud",{"categories":288},[114],{"categories":290},[117],{"categories":292},[153],{"categories":294},[67],{"categories":296},[],{"categories":298},[67],{"categories":300},[67],{"categories":302},[67],{"categories":304},[],{"categories":306},[114],{"categories":308},[128],{"categories":310},[286],{"categories":312},[],{"categories":314},[128],{"categories":316},[114],{"categories":318},[67],{"categories":320},[208],{"categories":322},[323],"Governance & Standards",{"categories":325},[109],{"categories":327},[],{"categories":329},[67],{"categories":331},[],{"categories":333},[67],{"categories":335},[67],{"categories":337},[114],{"categories":339},[67],{"categories":341},[114],{"categories":343},[67],{"categories":345},[67],{"categories":347},[114],{"categories":349},[67],{"categories":351},[67],{"categories":353},[67],{"categories":355},[],{"categories":357},[128],{"categories":359},[],{"categories":361},[],{"categories":363},[67],{"categories":365},[128],{"categories":367},[],{"categories":369},[128],{"categories":371},[67],{"categories":373},[114],{"categories":375},[67],{"categories":377},[243],{"categories":379},[67],{"categories":381},[67],{"categories":383},[67],{"categories":385},[208],{"categories":387},[208],{"categories":389},[67],{"categories":391},[128],{"categories":393},[114],{"categories":395},[396],"GovTech & Public-Sector Adoption",{"categories":398},[128],{"categories":400},[67],{"categories":402},[67],{"categories":404},[67],{"categories":406},[114],{"categories":408},[114],{"categories":410},[131],{"categories":412},[67],{"categories":414},[153],{"categories":416},[114],{"categories":418},[419],"Legal AI Tools",{"categories":421},[67],{"categories":423},[114],{"categories":425},[67],{"categories":427},[243],{"categories":429},[114],{"categories":431},[117],{"categories":433},[67],{"categories":435},[128],{"categories":437},[396],{"categories":439},[],{"categories":441},[114],{"categories":443},[],{"categories":445},[109],{"categories":447},[114],{"categories":449},[114],{"categories":451},[452],"RAG & Retrieval",{"categories":454},[109],{"categories":456},[67],{"categories":458},[128],{"categories":460},[128],{"categories":462},[286],{"categories":464},[208],{"categories":466},[114],{"categories":468},[67],{"categories":470},[67],{"categories":472},[67],{"categories":474},[67],{"categories":476},[],{"categories":478},[114],{"categories":480},[481],"Agents & Orchestration",{"categories":483},[128],{"categories":485},[67],{"categories":487},[],{"categories":489},[114],{"categories":491},[109],{"categories":493},[],{"categories":495},[67],{"categories":497},[],{"categories":499},[67],{"categories":501},[104],{"categories":503},[128],{"categories":505},[109],{"categories":507},[67],{"categories":509},[67],{"categories":511},[67],{"categories":513},[114],{"categories":515},[67],{"categories":517},[67],{"categories":519},[153],{"categories":521},[67],{"categories":523},[],{"categories":525},[67],{"categories":527},[67],{"categories":529},[],{"categories":531},[67],{"categories":533},[128],{"categories":535},[67],{"categories":537},[114],{"categories":539},[131],{"categories":541},[],{"categories":543},[67],{"categories":545},[67],{"categories":547},[208],{"categories":549},[550],"Models & Frontier Labs",{"categories":552},[],{"categories":554},[208],{"categories":556},[557],"Regulation & Governance of AI",{"categories":559},[117],{"categories":561},[114],{"categories":563},[],{"categories":565},[67],{"categories":567},[67],{"categories":569},[114],{"categories":571},[114],{"categories":573},[153],{"categories":575},[67],{"categories":577},[109],{"categories":579},[67],{"categories":581},[114],{"categories":583},[],{"categories":585},[128],{"categories":587},[114],{"categories":589},[67],{"categories":591},[67],{"categories":593},[117],{"categories":595},[67],{"categories":597},[598],"AI Policy & Regulation",{"categories":600},[],{"categories":602},[67],{"categories":604},[114],{"categories":606},[114],{"categories":608},[117],{"categories":610},[114],{"categories":612},[67],{"categories":614},[67],{"categories":616},[67],{"categories":618},[114],{"categories":620},[],{"categories":622},[131],{"categories":624},[625],"Evals & Reliability",{"categories":627},[67],{"categories":629},[67],{"categories":631},[],{"categories":633},[131],{"categories":635},[104],{"categories":637},[396],{"categories":639},[598],{"categories":641},[67],{"categories":643},[67],{"categories":645},[109],{"categories":647},[67],{"categories":649},[114],{"categories":651},[67],{"categories":653},[114],{"categories":655},[481],{"categories":657},[67],{"categories":659},[128],{"categories":661},[67],{"categories":663},[67],{"categories":665},[],{"categories":667},[208],{"categories":669},[],{"categories":671},[67],{"categories":673},[67],{"categories":675},[396],{"categories":677},[67],{"categories":679},[67],{"categories":681},[67],{"categories":683},[],{"categories":685},[67],{"categories":687},[208],{"categories":689},[67],{"categories":691},[128],{"categories":693},[],{"categories":695},[67],{"categories":697},[67],{"categories":699},[],{"categories":701},[67],{"categories":703},[114],{"categories":705},[67],{"categories":707},[208],{"categories":709},[],{"categories":711},[67],{"categories":713},[67],{"categories":715},[131],{"categories":717},[114],{"categories":719},[67],{"categories":721},[109],{"categories":723},[114],{"categories":725},[67],{"categories":727},[67],{"categories":729},[128],{"categories":731},[208],{"categories":733},[67],{"categories":735},[114],{"categories":737},[],{"categories":739},[128],{"categories":741},[114],{"categories":743},[131],{"categories":745},[],{"categories":747},[67],{"categories":749},[153],{"categories":751},[67],{"categories":753},[],{"categories":755},[67],{"categories":757},[67],{"categories":759},[67],{"categories":761},[109,243],{"categories":763},[],{"categories":765},[128],{"categories":767},[67],{"categories":769},[67],{"categories":771},[114],{"categories":773},[67],{"categories":775},[67],{"categories":777},[],{"categories":779},[],{"categories":781},[67],{"categories":783},[67],{"categories":785},[208],{"categories":787},[67],{"categories":789},[],{"categories":791},[67],{"categories":793},[286],{"categories":795},[],{"categories":797},[114],{"categories":799},[153],{"categories":801},[67],{"categories":803},[109],{"categories":805},[67],{"categories":807},[128],{"categories":809},[208],{"categories":811},[],{"categories":813},[67],{"categories":815},[153],{"categories":817},[67],{"categories":819},[142],{"categories":821},[67],{"categories":823},[67],{"categories":825},[114],{"categories":827},[153],{"categories":829},[550],{"categories":831},[67],{"categories":833},[243],{"categories":835},[],{"categories":837},[114],{"categories":839},[109],{"categories":841},[128],{"categories":843},[67],{"categories":845},[114],{"categories":847},[],{"categories":849},[67,286],{"categories":851},[67],{"categories":853},[67],{"categories":855},[67],{"categories":857},[67],{"categories":859},[114],{"categories":861},[67,128],{"categories":863},[131],{"categories":865},[67],{"categories":867},[67],{"categories":869},[67],{"categories":871},[128],{"categories":873},[67],{"categories":875},[114],{"categories":877},[114],{"categories":879},[598],{"categories":881},[243],{"categories":883},[67],{"categories":885},[114],{"categories":887},[67],{"categories":889},[67],{"categories":891},[114],{"categories":893},[],{"categories":895},[114],{"categories":897},[67],{"categories":899},[67],{"categories":901},[114],{"categories":903},[67],{"categories":905},[67,109],{"categories":907},[67],{"categories":909},[67],{"categories":911},[109],{"categories":913},[],{"categories":915},[208],{"categories":917},[208],{"categories":919},[67],{"categories":921},[],{"categories":923},[],{"categories":925},[67],{"categories":927},[153],{"categories":929},[],{"categories":931},[104],{"categories":933},[67],{"categories":935},[128],{"categories":937},[114],{"categories":939},[67],{"categories":941},[942],"Generative UI & Design-to-Code",{"categories":944},[67],{"categories":946},[67],{"categories":948},[208],{"categories":950},[67],{"categories":952},[953],"Algorithmic Accountability",{"categories":955},[67],{"categories":957},[114],{"categories":959},[128],{"categories":961},[153],{"categories":963},[208],{"categories":965},[67],{"categories":967},[],{"categories":969},[117],{"categories":971},[67],{"categories":973},[67],{"categories":975},[67],{"categories":977},[67],{"categories":979},[67],{"categories":981},[114],{"categories":983},[984],"MLOps & Infrastructure",{"categories":986},[67],{"categories":988},[67],{"categories":990},[67],{"categories":992},[67],{"categories":994},[67],{"categories":996},[67],{"categories":998},[128],{"categories":1000},[153],{"categories":1002},[67],{"categories":1004},[67],{"categories":1006},[117],{"categories":1008},[104],{"categories":1010},[67],{"categories":1012},[114],{"categories":1014},[286],{"categories":1016},[67],{"categories":1018},[109],{"categories":1020},[67],{"categories":1022},[208],{"categories":1024},[67],{"categories":1026},[117],{"categories":1028},[67],{"categories":1030},[114],{"categories":1032},[],{"categories":1034},[],{"categories":1036},[67],{"categories":1038},[142],{"categories":1040},[208],{"categories":1042},[153],{"categories":1044},[131],{"categories":1046},[],{"categories":1048},[67],{"categories":1050},[67],{"categories":1052},[109],{"categories":1054},[114],{"categories":1056},[67],{"categories":1058},[67],{"categories":1060},[67],{"categories":1062},[67],{"categories":1064},[67],{"categories":1066},[153],{"categories":1068},[142],{"categories":1070},[67],{"categories":1072},[208],{"categories":1074},[67],{"categories":1076},[],{"categories":1078},[114],{"categories":1080},[128],{"categories":1082},[],{"categories":1084},[67],{"categories":1086},[67],{"categories":1088},[114],{"categories":1090},[128],{"categories":1092},[67],{"categories":1094},[131],{"categories":1096},[208],{"categories":1098},[],{"categories":1100},[67],{"categories":1102},[],{"categories":1104},[67],{"categories":1106},[],{"categories":1108},[67],{"categories":1110},[67],{"categories":1112},[117],{"categories":1114},[109],{"categories":1116},[114],{"categories":1118},[114],{"categories":1120},[128],{"categories":1122},[],{"categories":1124},[67],{"categories":1126},[104],{"categories":1128},[67],{"categories":1130},[67],{"categories":1132},[109],{"categories":1134},[153],{"categories":1136},[104],{"categories":1138},[],{"categories":1140},[67],{"categories":1142},[],{"categories":1144},[67],{"categories":1146},[],{"categories":1148},[67],{"categories":1150},[153],{"categories":1152},[153],{"categories":1154},[],{"categories":1156},[481],{"categories":1158},[67],{"categories":1160},[208],{"categories":1162},[128],{"categories":1164},[],{"categories":1166},[419],{"categories":1168},[114],{"categories":1170},[114],{"categories":1172},[109],{"categories":1174},[67],{"categories":1176},[],{"categories":1178},[],{"categories":1180},[104],{"categories":1182},[131],{"categories":1184},[],{"categories":1186},[243],{"categories":1188},[114],{"categories":1190},[109],{"categories":1192},[114],{"categories":1194},[67],{"categories":1196},[109],{"categories":1198},[67],{"categories":1200},[128],{"categories":1202},[],{"categories":1204},[142],{"categories":1206},[117],{"categories":1208},[67],{"categories":1210},[208],{"categories":1212},[128],{"categories":1214},[109],{"categories":1216},[67],{"categories":1218},[128],{"categories":1220},[67],{"categories":1222},[114],{"categories":1224},[109],{"categories":1226},[67],{"categories":1228},[67],{"categories":1230},[67],{"categories":1232},[67],{"categories":1234},[67],{"categories":1236},[67],{"categories":1238},[],{"categories":1240},[],{"categories":1242},[128],{"categories":1244},[131],{"categories":1246},[117],{"categories":1248},[67],{"categories":1250},[114],{"categories":1252},[128],{"categories":1254},[128],{"categories":1256},[67],{"categories":1258},[],{"categories":1260},[67],{"categories":1262},[153],{"categories":1264},[117],{"categories":1266},[117],{"categories":1268},[128],{"categories":1270},[67],{"categories":1272},[625],{"categories":1274},[286],{"categories":1276},[],{"categories":1278},[67],{"categories":1280},[114],{"categories":1282},[67],{"categories":1284},[104],{"categories":1286},[],{"categories":1288},[104],{"categories":1290},[208],{"categories":1292},[],{"categories":1294},[67],{"categories":1296},[67],{"categories":1298},[67],{"categories":1300},[208],{"categories":1302},[243],{"categories":1304},[117],{"categories":1306},[67],{"categories":1308},[128],{"categories":1310},[67],{"categories":1312},[114],{"categories":1314},[],{"categories":1316},[128],{"categories":1318},[67],{"categories":1320},[104],{"categories":1322},[],{"categories":1324},[109],{"categories":1326},[67],{"categories":1328},[67],{"categories":1330},[153],{"categories":1332},[67,286],{"categories":1334},[67],{"categories":1336},[1337],"Design Systems for AI",{"categories":1339},[67],{"categories":1341},[67],{"categories":1343},[153],{"categories":1345},[67],{"categories":1347},[67],{"categories":1349},[67],{"categories":1351},[109],{"categories":1353},[67],{"categories":1355},[67],{"categories":1357},[67],{"categories":1359},[],{"categories":1361},[67],{"categories":1363},[67],{"categories":1365},[109],{"categories":1367},[67],{"categories":1369},[],{"categories":1371},[114],{"categories":1373},[114],{"categories":1375},[128],{"categories":1377},[67],{"categories":1379},[153],{"categories":1381},[128],{"categories":1383},[67],{"categories":1385},[208],{"categories":1387},[153],{"categories":1389},[131],{"categories":1391},[67],{"categories":1393},[67],{"categories":1395},[67],{"categories":1397},[67],{"categories":1399},[114],{"categories":1401},[104],{"categories":1403},[598],{"categories":1405},[67],{"categories":1407},[67],{"categories":1409},[114],{"categories":1411},[67],{"categories":1413},[128],{"categories":1415},[67],{"categories":1417},[128],{"categories":1419},[],{"categories":1421},[208],{"categories":1423},[],{"categories":1425},[67],{"categories":1427},[114],{"categories":1429},[117],{"categories":1431},[],{"categories":1433},[109],{"categories":1435},[67],{"categories":1437},[],{"categories":1439},[208],{"categories":1441},[128],{"categories":1443},[114],{"categories":1445},[128],{"categories":1447},[67],{"categories":1449},[208],{"categories":1451},[67],{"categories":1453},[128],{"categories":1455},[67],{"categories":1457},[67],{"categories":1459},[208],{"categories":1461},[],{"categories":1463},[],{"categories":1465},[153],{"categories":1467},[114],{"categories":1469},[114],{"categories":1471},[67],{"categories":1473},[114],{"categories":1475},[67],{"categories":1477},[67],{"categories":1479},[67],{"categories":1481},[67],{"categories":1483},[67],{"categories":1485},[67],{"categories":1487},[109],{"categories":1489},[117],{"categories":1491},[67],{"categories":1493},[67],{"categories":1495},[],{"categories":1497},[128],{"categories":1499},[128],{"categories":1501},[67],{"categories":1503},[128],{"categories":1505},[109],{"categories":1507},[],{"categories":1509},[67],{"categories":1511},[67],{"categories":1513},[208],{"categories":1515},[67],{"categories":1517},[67],{"categories":1519},[67],{"categories":1521},[114],{"categories":1523},[104],{"categories":1525},[109],{"categories":1527},[67],{"categories":1529},[114],{"categories":1531},[153],{"categories":1533},[114],{"categories":1535},[142],{"categories":1537},[243],{"categories":1539},[67],{"categories":1541},[114],{"categories":1543},[67],{"categories":1545},[67],{"categories":1547},[67],{"categories":1549},[67],{"categories":1551},[],{"categories":1553},[208],{"categories":1555},[],{"categories":1557},[67],{"categories":1559},[67],{"categories":1561},[],{"categories":1563},[67],{"categories":1565},[67],{"categories":1567},[128],{"categories":1569},[109],{"categories":1571},[1572],"Visual & Generative Media",{"categories":1574},[114],{"categories":1576},[],{"categories":1578},[67],{"categories":1580},[67],{"categories":1582},[128],{"categories":1584},[67],{"categories":1586},[286],{"categories":1588},[67],{"categories":1590},[131],{"categories":1592},[598],{"categories":1594},[128],{"categories":1596},[243],{"categories":1598},[67],{"categories":1600},[117],{"categories":1602},[208],{"categories":1604},[67],{"categories":1606},[67],{"categories":1608},[128],{"categories":1610},[114],{"categories":1612},[67],{"categories":1614},[],{"categories":1616},[],{"categories":1618},[114],{"categories":1620},[128],{"categories":1622},[104],{"categories":1624},[114],{"categories":1626},[550],{"categories":1628},[67],{"categories":1630},[117],{"categories":1632},[67],{"categories":1634},[109],{"categories":1636},[],{"categories":1638},[67],{"categories":1640},[117],{"categories":1642},[67],{"categories":1644},[67],{"categories":1646},[67],{"categories":1648},[117],{"categories":1650},[67],{"categories":1652},[67],{"categories":1654},[243],{"categories":1656},[67],{"categories":1658},[481],{"categories":1660},[128],{"categories":1662},[114],{"categories":1664},[67],{"categories":1666},[114],{"categories":1668},[67],{"categories":1670},[67],{"categories":1672},[114],{"categories":1674},[67],{"categories":1676},[67],{"categories":1678},[67],{"categories":1680},[114],{"categories":1682},[67],{"categories":1684},[208],{"categories":1686},[114],{"categories":1688},[],{"categories":1690},[114],{"categories":1692},[67],{"categories":1694},[],{"categories":1696},[286],{"categories":1698},[128],{"categories":1700},[],{"categories":1702},[550],{"categories":1704},[67],{"categories":1706},[114],{"categories":1708},[114],{"categories":1710},[67],{"categories":1712},[208,67],{"categories":1714},[67],{"categories":1716},[104],{"categories":1718},[67],{"categories":1720},[114],{"categories":1722},[208],{"categories":1724},[],{"categories":1726},[67],{"categories":1728},[104],{"categories":1730},[67],{"categories":1732},[1733],"Medical Imaging & Radiology",{"categories":1735},[67],{"categories":1737},[67],{"categories":1739},[67],{"categories":1741},[208],{"categories":1743},[114],{"categories":1745},[114],{"categories":1747},[128],{"categories":1749},[],{"categories":1751},[67],{"categories":1753},[67],{"categories":1755},[67],{"categories":1757},[],{"categories":1759},[],{"categories":1761},[67],{"categories":1763},[67],{"categories":1765},[481],{"categories":1767},[67],{"categories":1769},[67],{"categories":1771},[104],{"categories":1773},[67],{"categories":1775},[67],{"categories":1777},[],{"categories":1779},[114],{"categories":1781},[67],{"categories":1783},[117],{"categories":1785},[128],{"categories":1787},[67],{"categories":1789},[67],{"categories":1791},[114],{"categories":1793},[481],{"categories":1795},[67],{"categories":1797},[114],{"categories":1799},[67],{"categories":1801},[67],{"categories":1803},[67],{"categories":1805},[67],{"categories":1807},[208],{"categories":1809},[114],{"categories":1811},[286],{"categories":1813},[208],{"categories":1815},[109],{"categories":1817},[114],{"categories":1819},[153],{"categories":1821},[67],{"categories":1823},[67],{"categories":1825},[117],{"categories":1827},[67],{"categories":1829},[67],{"categories":1831},[67],{"categories":1833},[67],{"categories":1835},[67],{"categories":1837},[114],{"categories":1839},[67],{"categories":1841},[128],{"categories":1843},[67],{"categories":1845},[128],{"categories":1847},[67],{"categories":1849},[117],{"categories":1851},[],{"categories":1853},[153],{"categories":1855},[],{"categories":1857},[117],{"categories":1859},[114],{"categories":1861},[67],{"categories":1863},[67],{"categories":1865},[114],{"categories":1867},[67],{"categories":1869},[1337],{"categories":1871},[67],{"categories":1873},[1337],{"categories":1875},[208],{"categories":1877},[67],{"categories":1879},[67],{"categories":1881},[67],{"categories":1883},[114],{"categories":1885},[128],{"categories":1887},[208],{"categories":1889},[114],{"categories":1891},[153],{"categories":1893},[],{"categories":1895},[67],{"categories":1897},[67],{"categories":1899},[],{"categories":1901},[67],{"categories":1903},[67],{"categories":1905},[114],{"categories":1907},[67],{"categories":1909},[67],{"categories":1911},[67],{"categories":1913},[114],{"categories":1915},[1916],"Contract Review & E-Discovery",{"categories":1918},[67],{"categories":1920},[208],{"categories":1922},[67],{"categories":1924},[104],{"categories":1926},[67],{"categories":1928},[153],{"categories":1930},[67],{"categories":1932},[67],{"categories":1934},[243],{"categories":1936},[128],{"categories":1938},[114],{"categories":1940},[67],{"categories":1942},[67],{"categories":1944},[67],{"categories":1946},[114],{"categories":1948},[114],{"categories":1950},[953],{"categories":1952},[67],{"categories":1954},[67],{"categories":1956},[114],{"categories":1958},[114],{"categories":1960},[67],{"categories":1962},[67],{"categories":1964},[67],{"categories":1966},[114],{"categories":1968},[67],{"categories":1970},[67],{"categories":1972},[128],{"categories":1974},[67],{"categories":1976},[481],{"categories":1978},[452],{"categories":1980},[67],{"categories":1982},[114],{"categories":1984},[67],{"categories":1986},[1987],"Law-Firm Practice & Adoption",{"categories":1989},[67],{"categories":1991},[114],{"categories":1993},[208],{"categories":1995},[67],{"categories":1997},[67],{"categories":1999},[67],{"categories":2001},[],{"categories":2003},[128],{"categories":2005},[],{"categories":2007},[128],{"categories":2009},[67],{"categories":2011},[],{"categories":2013},[128],{"categories":2015},[114],{"categories":2017},[104],{"categories":2019},[286],{"categories":2021},[67],{"categories":2023},[],{"categories":2025},[67],{"categories":2027},[104],{"categories":2029},[114],{"categories":2031},[109],{"categories":2033},[67],{"categories":2035},[243],{"categories":2037},[67],{"categories":2039},[],{"categories":2041},[109],{"categories":2043},[114],{"categories":2045},[109],{"categories":2047},[],{"categories":2049},[67],{"categories":2051},[117],{"categories":2053},[67],{"categories":2055},[128],{"categories":2057},[],{"categories":2059},[],{"categories":2061},[67],{"categories":2063},[],{"categories":2065},[],{"categories":2067},[67],{"categories":2069},[117],{"categories":2071},[114],{"categories":2073},[286],{"categories":2075},[67],{"categories":2077},[104],{"categories":2079},[128],{"categories":2081},[67],{"categories":2083},[67],{"categories":2085},[128],{"categories":2087},[117],{"categories":2089},[67],{"categories":2091},[67],{"categories":2093},[67],{"categories":2095},[984],{"categories":2097},[67],{"categories":2099},[128],{"categories":2101},[67],{"categories":2103},[243],{"categories":2105},[128],{"categories":2107},[109],{"categories":2109},[67],{"categories":2111},[67],{"categories":2113},[67],{"categories":2115},[208],{"categories":2117},[67],{"categories":2119},[67],{"categories":2121},[67],{"categories":2123},[67],{"categories":2125},[109],{"categories":2127},[114],{"categories":2129},[67,104],{"categories":2131},[67],{"categories":2133},[481],{"categories":2135},[67],{"categories":2137},[67],{"categories":2139},[67],{"categories":2141},[128],{"categories":2143},[67],{"categories":2145},[128],{"categories":2147},[208],{"categories":2149},[114],{"categories":2151},[114],{"categories":2153},[128],{"categories":2155},[67],{"categories":2157},[114],{"categories":2159},[67],{"categories":2161},[67],{"categories":2163},[],{"categories":2165},[],{"categories":2167},[67],{"categories":2169},[131],{"categories":2171},[67],{"categories":2173},[67],{"categories":2175},[208],{"categories":2177},[114],{"categories":2179},[],{"categories":2181},[67],{"categories":2183},[67],{"categories":2185},[109],{"categories":2187},[128],{"categories":2189},[131],{"categories":2191},[153],{"categories":2193},[117],{"categories":2195},[208],{"categories":2197},[67],{"categories":2199},[114],{"categories":2201},[67],{"categories":2203},[128],{"categories":2205},[],{"categories":2207},[114],{"categories":2209},[114],{"categories":2211},[114],{"categories":2213},[67],{"categories":2215},[67],{"categories":2217},[67],{"categories":2219},[67],{"categories":2221},[67],{"categories":2223},[67],{"categories":2225},[],{"categories":2227},[114],{"categories":2229},[67],{"categories":2231},[67],{"categories":2233},[67],{"categories":2235},[],{"categories":2237},[114],{"categories":2239},[114],{"categories":2241},[67],{"categories":2243},[67],{"categories":2245},[109],{"categories":2247},[67],{"categories":2249},[67],{"categories":2251},[],{"categories":2253},[104],{"categories":2255},[67],{"categories":2257},[67],{"categories":2259},[67],{"categories":2261},[208],{"categories":2263},[67],{"categories":2265},[128],{"categories":2267},[67],{"categories":2269},[104],{"categories":2271},[67],{"categories":2273},[128],{"categories":2275},[243],{"categories":2277},[128],{"categories":2279},[114],{"categories":2281},[67],{"categories":2283},[114],{"categories":2285},[67],{"categories":2287},[67],{"categories":2289},[67],{"categories":2291},[67,208],{"categories":2293},[67],{"categories":2295},[114],{"categories":2297},[153],{"categories":2299},[67],{"categories":2301},[153],{"categories":2303},[114],{"categories":2305},[208],{"categories":2307},[67],{"categories":2309},[],{"categories":2311},[128],{"categories":2313},[286],{"categories":2315},[208],{"categories":2317},[128],{"categories":2319},[67],{"categories":2321},[117],{"categories":2323},[67],{"categories":2325},[67],{"categories":2327},[114],{"categories":2329},[],{"categories":2331},[],{"categories":2333},[67],{"categories":2335},[],{"categories":2337},[],{"categories":2339},[117],{"categories":2341},[128],{"categories":2343},[67],{"categories":2345},[67],{"categories":2347},[114],{"categories":2349},[67],{"categories":2351},[114],{"categories":2353},[109],{"categories":2355},[114],{"categories":2357},[286],{"categories":2359},[67],{"categories":2361},[67],{"categories":2363},[67],{"categories":2365},[142],{"categories":2367},[67],{"categories":2369},[67],{"categories":2371},[67],{"categories":2373},[67],{"categories":2375},[128],{"categories":2377},[114],{"categories":2379},[67],{"categories":2381},[67],{"categories":2383},[67],{"categories":2385},[67],{"categories":2387},[128],{"categories":2389},[419],{"categories":2391},[114],{"categories":2393},[953],{"categories":2395},[],{"categories":2397},[114],{"categories":2399},[208],{"categories":2401},[1987],{"categories":2403},[128],{"categories":2405},[],{"categories":2407},[114],{"categories":2409},[],{"categories":2411},[67],{"categories":2413},[114],{"categories":2415},[],{"categories":2417},[],{"categories":2419},[67],{"categories":2421},[67],{"categories":2423},[243],{"categories":2425},[67],{"categories":2427},[243],{"categories":2429},[67],{"categories":2431},[114],{"categories":2433},[67],{"categories":2435},[67],{"categories":2437},[131],{"categories":2439},[67],{"categories":2441},[128],{"categories":2443},[117],{"categories":2445},[],{"categories":2447},[67],{"categories":2449},[67],{"categories":2451},[67],{"categories":2453},[128],{"categories":2455},[67],{"categories":2457},[1916],{"categories":2459},[114],{"categories":2461},[67],{"categories":2463},[208],{"categories":2465},[208],{"categories":2467},[67],{"categories":2469},[67],{"categories":2471},[114],{"categories":2473},[104],{"categories":2475},[67],{"categories":2477},[67],{"categories":2479},[67],{"categories":2481},[67],{"categories":2483},[208],{"categories":2485},[208],{"categories":2487},[114],{"categories":2489},[114],{"categories":2491},[114],{"categories":2493},[67],{"categories":2495},[67],{"categories":2497},[67],{"categories":2499},[114],{"categories":2501},[],{"categories":2503},[67],{"categories":2505},[],{"categories":2507},[208],{"categories":2509},[2510],"Interaction & Product Design",{"categories":2512},[67],{"categories":2514},[114],{"categories":2516},[128],{"categories":2518},[323],{"categories":2520},[153],{"categories":2522},[128],{"categories":2524},[67],{"categories":2526},[117],{"categories":2528},[67],{"categories":2530},[67],{"categories":2532},[128],{"categories":2534},[67],{"categories":2536},[104],{"categories":2538},[114],{"categories":2540},[67],{"categories":2542},[],{"categories":2544},[114],{"categories":2546},[114],{"categories":2548},[114],{"categories":2550},[],{"categories":2552},[128],{"categories":2554},[67],{"categories":2556},[114],{"categories":2558},[104],{"categories":2560},[2510],{"categories":2562},[67],{"categories":2564},[104],{"categories":2566},[67],{"categories":2568},[104],{"categories":2570},[67],{"categories":2572},[],{"categories":2574},[67],{"categories":2576},[114],{"categories":2578},[128],{"categories":2580},[],{"categories":2582},[114],{"categories":2584},[117],{"categories":2586},[153],{"categories":2588},[67],{"categories":2590},[114],{"categories":2592},[67],{"categories":2594},[114],{"categories":2596},[114],{"categories":2598},[67],{"categories":2600},[67],{"categories":2602},[153],{"categories":2604},[131],{"categories":2606},[67],{"categories":2608},[117],{"categories":2610},[128],{"categories":2612},[2613],"Coding Agents & Dev Productivity",{"categories":2615},[153],{"categories":2617},[208],{"categories":2619},[67],{"categories":2621},[67],{"categories":2623},[],{"categories":2625},[67],{"categories":2627},[67],{"categories":2629},[953],{"categories":2631},[],{"categories":2633},[67],{"categories":2635},[67],{"categories":2637},[286],{"categories":2639},[67],{"categories":2641},[153],{"categories":2643},[],{"categories":2645},[],{"categories":2647},[67],{"categories":2649},[],{"categories":2651},[114],{"categories":2653},[67],{"categories":2655},[114],{"categories":2657},[],{"categories":2659},[128],{"categories":2661},[128],{"categories":2663},[67],{"categories":2665},[131],{"categories":2667},[],{"categories":2669},[67],{"categories":2671},[67],{"categories":2673},[67],{"categories":2675},[131],{"categories":2677},[128],{"categories":2679},[114],{"categories":2681},[],{"categories":2683},[],{"categories":2685},[67],{"categories":2687},[67],{"categories":2689},[67],{"categories":2691},[67],{"categories":2693},[114],{"categories":2695},[114],{"categories":2697},[396],{"categories":2699},[128],{"categories":2701},[117],{"categories":2703},[67],{"categories":2705},[128],{"categories":2707},[114],{"categories":2709},[153],{"categories":2711},[153],{"categories":2713},[114],{"categories":2715},[114],{"categories":2717},[67],{"categories":2719},[104],{"categories":2721},[2510],{"categories":2723},[117],{"categories":2725},[67,286],{"categories":2727},[131],{"categories":2729},[],{"categories":2731},[208],{"categories":2733},[114],{"categories":2735},[128],{"categories":2737},[104],{"categories":2739},[67],{"categories":2741},[114],{"categories":2743},[2744],"The Designer's Role & Craft",{"categories":2746},[208],{"categories":2748},[],{"categories":2750},[114],{"categories":2752},[67],{"categories":2754},[114],{"categories":2756},[114],{"categories":2758},[67],{"categories":2760},[243],{"categories":2762},[67],{"categories":2764},[128],{"categories":2766},[114],{"categories":2768},[67],{"categories":2770},[208],{"categories":2772},[67],{"categories":2774},[],{"categories":2776},[114],{"categories":2778},[208],{"categories":2780},[117],{"categories":2782},[67],{"categories":2784},[114],{"categories":2786},[67],{"categories":2788},[67],{"categories":2790},[67],{"categories":2792},[2793],"AI UX Patterns",{"categories":2795},[114],{"categories":2797},[114],{"categories":2799},[114],{"categories":2801},[67],{"categories":2803},[67],{"categories":2805},[114],{"categories":2807},[243],{"categories":2809},[131],{"categories":2811},[67],{"categories":2813},[114],{"categories":2815},[67],{"categories":2817},[67],{"categories":2819},[1337],{"categories":2821},[],{"categories":2823},[243],{"categories":2825},[114],{"categories":2827},[153],{"categories":2829},[128],{"categories":2831},[67],{"categories":2833},[114],{"categories":2835},[],{"categories":2837},[],{"categories":2839},[67],{"categories":2841},[67],{"categories":2843},[114],{"categories":2845},[67],{"categories":2847},[114],{"categories":2849},[396],{"categories":2851},[208],{"categories":2853},[67],{"categories":2855},[153],{"categories":2857},[128],{"categories":2859},[67],{"categories":2861},[114],{"categories":2863},[114],{"categories":2865},[],{"categories":2867},[67],{"categories":2869},[],{"categories":2871},[67],{"categories":2873},[67],{"categories":2875},[],{"categories":2877},[67],{"categories":2879},[67],{"categories":2881},[67],{"categories":2883},[114],{"categories":2885},[67],{"categories":2887},[128],{"categories":2889},[],{"categories":2891},[],{"categories":2893},[131],{"categories":2895},[142],{"categories":2897},[67],{"categories":2899},[67],{"categories":2901},[67],{"categories":2903},[131],{"categories":2905},[131],{"categories":2907},[67],{"categories":2909},[67],{"categories":2911},[153],{"categories":2913},[67],{"categories":2915},[67],{"categories":2917},[67],{"categories":2919},[114],{"categories":2921},[67],{"categories":2923},[67],{"categories":2925},[114],{"categories":2927},[67],{"categories":2929},[67],{"categories":2931},[67],{"categories":2933},[114],{"categories":2935},[],{"categories":2937},[128],{"categories":2939},[67],{"categories":2941},[],{"categories":2943},[67],{"categories":2945},[67],{"categories":2947},[286],{"categories":2949},[67],{"categories":2951},[],{"categories":2953},[],{"categories":2955},[208],{"categories":2957},[984],{"categories":2959},[114],{"categories":2961},[104],{"categories":2963},[2744],{"categories":2965},[],{"categories":2967},[],{"categories":2969},[67],{"categories":2971},[],{"categories":2973},[],{"categories":2975},[128],{"categories":2977},[153],{"categories":2979},[243],{"categories":2981},[131],{"categories":2983},[114],{"categories":2985},[109],{"categories":2987},[67],{"categories":2989},[67],{"categories":2991},[67],{"categories":2993},[109],{"categories":2995},[],{"categories":2997},[208],{"categories":2999},[117],{"categories":3001},[67],{"categories":3003},[67],{"categories":3005},[114],{"categories":3007},[109],{"categories":3009},[67],{"categories":3011},[67],{"categories":3013},[104],{"categories":3015},[67],{"categories":3017},[109],{"categories":3019},[67],{"categories":3021},[],{"categories":3023},[104],{"categories":3025},[67],{"categories":3027},[243],{"categories":3029},[67],{"categories":3031},[128],{"categories":3033},[114],{"categories":3035},[153],{"categories":3037},[67],{"categories":3039},[128],{"categories":3041},[67],{"categories":3043},[67],{"categories":3045},[67],{"categories":3047},[67],{"categories":3049},[109],{"categories":3051},[67],{"categories":3053},[67],{"categories":3055},[67],{"categories":3057},[114],{"categories":3059},[67],{"categories":3061},[67],{"categories":3063},[67],{"categories":3065},[],{"categories":3067},[67],{"categories":3069},[128],{"categories":3071},[104],{"categories":3073},[67],{"categories":3075},[67],{"categories":3077},[208],{"categories":3079},[67],{"categories":3081},[],{"categories":3083},[67],{"categories":3085},[481],{"categories":3087},[114],{"categories":3089},[109],{"categories":3091},[67],{"categories":3093},[153],{"categories":3095},[67],{"categories":3097},[67],{"categories":3099},[],{"categories":3101},[109],{"categories":3103},[109],{"categories":3105},[67],{"categories":3107},[67],{"categories":3109},[117],{"categories":3111},[67],{"categories":3113},[67],{"categories":3115},[67],{"categories":3117},[67],{"categories":3119},[128],{"categories":3121},[131],{"categories":3123},[128],{"categories":3125},[67],{"categories":3127},[],{"categories":3129},[67],{"categories":3131},[128],{"categories":3133},[67],{"categories":3135},[128],{"categories":3137},[114],{"categories":3139},[598],{"categories":3141},[],{"categories":3143},[],{"categories":3145},[67],{"categories":3147},[153],{"categories":3149},[],{"categories":3151},[286],{"categories":3153},[67],{"categories":3155},[67],{"categories":3157},[67],{"categories":3159},[208],{"categories":3161},[942],{"categories":3163},[],{"categories":3165},[67],{"categories":3167},[67],{"categories":3169},[67],{"categories":3171},[128],{"categories":3173},[67],{"categories":3175},[67],{"categories":3177},[67],{"categories":3179},[67],{"categories":3181},[67,286],{"categories":3183},[67],{"categories":3185},[67],{"categories":3187},[208],{"categories":3189},[114],{"categories":3191},[],{"categories":3193},[114],{"categories":3195},[114],{"categories":3197},[67],{"categories":3199},[67],{"categories":3201},[67],{"categories":3203},[67],{"categories":3205},[67],{"categories":3207},[131],{"categories":3209},[67],{"categories":3211},[67],{"categories":3213},[2793],{"categories":3215},[104],{"categories":3217},[67],{"categories":3219},[131],{"categories":3221},[104],{"categories":3223},[128],{"categories":3225},[208],{"categories":3227},[114],{"categories":3229},[67],{"categories":3231},[67],{"categories":3233},[],{"categories":3235},[109],{"categories":3237},[67],{"categories":3239},[67],{"categories":3241},[153],{"categories":3243},[67],{"categories":3245},[67],{"categories":3247},[67],{"categories":3249},[114],{"categories":3251},[67],{"categories":3253},[67],{"categories":3255},[208],{"categories":3257},[67],{"categories":3259},[109],{"categories":3261},[],{"categories":3263},[286],{"categories":3265},[117],{"categories":3267},[67],{"categories":3269},[396],{"categories":3271},[208],{"categories":3273},[208],{"categories":3275},[128],{"categories":3277},[114],{"categories":3279},[67],{"categories":3281},[109],{"categories":3283},[153],{"categories":3285},[67],{"categories":3287},[67],{"categories":3289},[67],{"categories":3291},[208],{"categories":3293},[114],{"categories":3295},[67],{"categories":3297},[114],{"categories":3299},[67],{"categories":3301},[114],{"categories":3303},[67],{"categories":3305},[550],{"categories":3307},[67],{"categories":3309},[114],{"categories":3311},[],{"categories":3313},[67],{"categories":3315},[67],{"categories":3317},[67],{"categories":3319},[67],{"categories":3321},[114],{"categories":3323},[],{"categories":3325},[],{"categories":3327},[67],{"categories":3329},[67],{"categories":3331},[114],{"categories":3333},[67],{"categories":3335},[67],{"categories":3337},[67],{"categories":3339},[128],{"categories":3341},[67],{"categories":3343},[67],{"categories":3345},[114],{"categories":3347},[67],{"categories":3349},[67],{"categories":3351},[67],{"categories":3353},[67],{"categories":3355},[67],{"categories":3357},[],{"categories":3359},[128],{"categories":3361},[131],{"categories":3363},[67],{"categories":3365},[114],{"categories":3367},[114],{"categories":3369},[67],{"categories":3371},[67],{"categories":3373},[],{"categories":3375},[],{"categories":3377},[67],{"categories":3379},[67],{"categories":3381},[67],{"categories":3383},[67],{"categories":3385},[153],{"categories":3387},[131],{"categories":3389},[],{"categories":3391},[67],{"categories":3393},[208],{"categories":3395},[67],{"categories":3397},[67],{"categories":3399},[286],{"categories":3401},[1987],{"categories":3403},[67],{"categories":3405},[153],{"categories":3407},[128],{"categories":3409},[67],{"categories":3411},[128],{"categories":3413},[128],{"categories":3415},[67],{"categories":3417},[67],{"categories":3419},[128],{"categories":3421},[153],{"categories":3423},[153],{"categories":3425},[286],{"categories":3427},[114],{"categories":3429},[],{"categories":3431},[153],{"categories":3433},[109],{"categories":3435},[67],{"categories":3437},[114],{"categories":3439},[104],{"categories":3441},[128],{"categories":3443},[67],{"categories":3445},[109],{"categories":3447},[153],{"categories":3449},[],{"categories":3451},[67],{"categories":3453},[128],{"categories":3455},[67],{"categories":3457},[128],{"categories":3459},[131],{"categories":3461},[67],{"categories":3463},[153],{"categories":3465},[67],{"categories":3467},[128],{"categories":3469},[67],{"categories":3471},[114],{"categories":3473},[114],{"categories":3475},[153],{"categories":3477},[114],{"categories":3479},[286],{"categories":3481},[114],{"categories":3483},[67],{"categories":3485},[67],{"categories":3487},[67],{"categories":3489},[67],{"categories":3491},[67],{"categories":3493},[67],{"categories":3495},[128],{"categories":3497},[67],{"categories":3499},[],{"categories":3501},[114],{"categories":3503},[109],{"categories":3505},[128],{"categories":3507},[],{"categories":3509},[],{"categories":3511},[67],{"categories":3513},[114],{"categories":3515},[67],{"categories":3517},[67],{"categories":3519},[67],{"categories":3521},[3522],"Frameworks & Tooling",{"categories":3524},[67],{"categories":3526},[67],{"categories":3528},[128],{"categories":3530},[67],{"categories":3532},[67],{"categories":3534},[],{"categories":3536},[131],{"categories":3538},[131],{"categories":3540},[67],{"categories":3542},[104],{"categories":3544},[67],{"categories":3546},[114],{"categories":3548},[67],{"categories":3550},[208],{"categories":3552},[],{"categories":3554},[1987],{"categories":3556},[67],{"categories":3558},[128],{"categories":3560},[67],{"categories":3562},[286],{"categories":3564},[286],{"categories":3566},[],{"categories":3568},[67],{"categories":3570},[114],{"categories":3572},[114],{"categories":3574},[67],{"categories":3576},[67],{"categories":3578},[153],{"categories":3580},[114],{"categories":3582},[153],{"categories":3584},[67],{"categories":3586},[114],{"categories":3588},[],{"categories":3590},[208],{"categories":3592},[67],{"categories":3594},[67],{"categories":3596},[],{"categories":3598},[67],{"categories":3600},[67],{"categories":3602},[114],{"categories":3604},[67],{"categories":3606},[67],{"categories":3608},[67],{"categories":3610},[],{"categories":3612},[109],{"categories":3614},[128],{"categories":3616},[67],{"categories":3618},[128],{"categories":3620},[286],{"categories":3622},[67],{"categories":3624},[67],{"categories":3626},[67],{"categories":3628},[128],{"categories":3630},[67],{"categories":3632},[109],{"categories":3634},[67],{"categories":3636},[1987],{"categories":3638},[],{"categories":3640},[114],{"categories":3642},[104],{"categories":3644},[67],{"categories":3646},[104],{"categories":3648},[67],{"categories":3650},[],{"categories":3652},[114],{"categories":3654},[67],{"categories":3656},[67],{"categories":3658},[3659],"AI Design Tooling",{"categories":3661},[208],{"categories":3663},[67],{"categories":3665},[67],{"categories":3667},[128],{"categories":3669},[208],{"categories":3671},[67],{"categories":3673},[67],{"categories":3675},[128],{"categories":3677},[114],{"categories":3679},[153],{"categories":3681},[117],{"categories":3683},[128],{"categories":3685},[67],{"categories":3687},[67],{"categories":3689},[67],{"categories":3691},[114],{"categories":3693},[67],{"categories":3695},[],{"categories":3697},[114],{"categories":3699},[67],{"categories":3701},[67],{"categories":3703},[114],{"categories":3705},[67],{"categories":3707},[67],{"categories":3709},[67],{"categories":3711},[114],{"categories":3713},[],{"categories":3715},[114],{"categories":3717},[3522],{"categories":3719},[67],{"categories":3721},[67],{"categories":3723},[114],{"categories":3725},[114],{"categories":3727},[128],{"categories":3729},[128],{"categories":3731},[67],{"categories":3733},[67],{"categories":3735},[],{"categories":3737},[128],{"categories":3739},[67],{"categories":3741},[67],{"categories":3743},[114],{"categories":3745},[109],{"categories":3747},[67],{"categories":3749},[],{"categories":3751},[67],{"categories":3753},[67],{"categories":3755},[2510],{"categories":3757},[],{"categories":3759},[67],{"categories":3761},[67],{"categories":3763},[67],{"categories":3765},[67],{"categories":3767},[208],{"categories":3769},[67],{"categories":3771},[],{"categories":3773},[67],{"categories":3775},[67],{"categories":3777},[67],{"categories":3779},[67],{"categories":3781},[243],{"categories":3783},[153],{"categories":3785},[67],{"categories":3787},[67],{"categories":3789},[1987],{"categories":3791},[67],{"categories":3793},[104],{"categories":3795},[67],{"categories":3797},[67],{"categories":3799},[131],{"categories":3801},[114],{"categories":3803},[67],{"categories":3805},[67],{"categories":3807},[153],{"categories":3809},[114],{"categories":3811},[117],{"categories":3813},[],{"categories":3815},[67],{"categories":3817},[67],{"categories":3819},[208],{"categories":3821},[67],{"categories":3823},[243],{"categories":3825},[114],{"categories":3827},[67],{"categories":3829},[114],{"categories":3831},[67],{"categories":3833},[],{"categories":3835},[],{"categories":3837},[],{"categories":3839},[104],{"categories":3841},[153],{"categories":3843},[114],{"categories":3845},[67],{"categories":3847},[67],{"categories":3849},[67],{"categories":3851},[67],{"categories":3853},[67],{"categories":3855},[419],{"categories":3857},[67],{"categories":3859},[208],{"categories":3861},[114],{"categories":3863},[67],{"categories":3865},[],{"categories":3867},[67],{"categories":3869},[114],{"categories":3871},[114],{"categories":3873},[],{"categories":3875},[67],{"categories":3877},[114],{"categories":3879},[67],{"categories":3881},[],{"categories":3883},[117],{"categories":3885},[67],{"categories":3887},[67],{"categories":3889},[67],{"categories":3891},[153],{"categories":3893},[208],{"categories":3895},[114],{"categories":3897},[208],{"categories":3899},[114],{"categories":3901},[67],{"categories":3903},[109],{"categories":3905},[],{"categories":3907},[],{"categories":3909},[67],{"categories":3911},[67],{"categories":3913},[67],{"categories":3915},[104],{"categories":3917},[67],{"categories":3919},[114],{"categories":3921},[153],{"categories":3923},[],{"categories":3925},[208],{"categories":3927},[114],{"categories":3929},[],{"categories":3931},[128],{"categories":3933},[67],{"categories":3935},[128],{"categories":3937},[208],{"categories":3939},[128],{"categories":3941},[67],{"categories":3943},[],{"categories":3945},[67],{"categories":3947},[67],{"categories":3949},[114],{"categories":3951},[],{"categories":3953},[67],{"categories":3955},[67],{"categories":3957},[243],{"categories":3959},[67],{"categories":3961},[67],{"categories":3963},[67],{"categories":3965},[286],{"categories":3967},[128],{"categories":3969},[67],{"categories":3971},[114],{"categories":3973},[],{"categories":3975},[67],{"categories":3977},[114],{"categories":3979},[67],{"categories":3981},[104],{"categories":3983},[550],{"categories":3985},[67],{"categories":3987},[67],{"categories":3989},[67],{"categories":3991},[114],{"categories":3993},[67],{"categories":3995},[114],{"categories":3997},[67],{"categories":3999},[67],{"categories":4001},[67],{"categories":4003},[114],{"categories":4005},[117],{"categories":4007},[67],{"categories":4009},[67],{"categories":4011},[],{"categories":4013},[67],{"categories":4015},[67],{"categories":4017},[104],{"categories":4019},[67],{"categories":4021},[109],{"categories":4023},[128],{"categories":4025},[208],{"categories":4027},[],{"categories":4029},[67],{"categories":4031},[],{"categories":4033},[114],{"categories":4035},[67],{"categories":4037},[114],{"categories":4039},[],{"categories":4041},[114],{"categories":4043},[67],{"categories":4045},[128],{"categories":4047},[208],{"categories":4049},[153],{"categories":4051},[67],{"categories":4053},[153],{"categories":4055},[114],{"categories":4057},[67],{"categories":4059},[208],{"categories":4061},[67],{"categories":4063},[],{"categories":4065},[67],{"categories":4067},[142],{"categories":4069},[114],{"categories":4071},[67],{"categories":4073},[208],{"categories":4075},[153],{"categories":4077},[67],{"categories":4079},[109],{"categories":4081},[128],{"categories":4083},[67],{"categories":4085},[67],{"categories":4087},[67],{"categories":4089},[67],{"categories":4091},[117],{"categories":4093},[67],{"categories":4095},[153],{"categories":4097},[128],{"categories":4099},[243],{"categories":4101},[],{"categories":4103},[],{"categories":4105},[131],{"categories":4107},[481],{"categories":4109},[67],{"categories":4111},[114],{"categories":4113},[67,128],{"categories":4115},[153],{"categories":4117},[67],{"categories":4119},[67],{"categories":4121},[67],{"categories":4123},[67],{"categories":4125},[67],{"categories":4127},[67],{"categories":4129},[67],{"categories":4131},[109],{"categories":4133},[114],{"categories":4135},[67],{"categories":4137},[67],{"categories":4139},[114],{"categories":4141},[67],{"categories":4143},[67],{"categories":4145},[67],{"categories":4147},[],{"categories":4149},[67],{"categories":4151},[1337],{"categories":4153},[128],{"categories":4155},[208],{"categories":4157},[67],{"categories":4159},[67],{"categories":4161},[67],{"categories":4163},[67],{"categories":4165},[131],{"categories":4167},[114],{"categories":4169},[243],{"categories":4171},[286],{"categories":4173},[],{"categories":4175},[128],{"categories":4177},[67],{"categories":4179},[109],{"categories":4181},[114],{"categories":4183},[67],{"categories":4185},[104],{"categories":4187},[114],{"categories":4189},[67],{"categories":4191},[114],{"categories":4193},[114],{"categories":4195},[117],{"categories":4197},[128],{"categories":4199},[67],{"categories":4201},[67],{"categories":4203},[],{"categories":4205},[],{"categories":4207},[],{"categories":4209},[286],{"categories":4211},[67],{"categories":4213},[153],{"categories":4215},[67],{"categories":4217},[67],{"categories":4219},[67],{"categories":4221},[67],{"categories":4223},[128],{"categories":4225},[67],{"categories":4227},[],{"categories":4229},[67],{"categories":4231},[131],{"categories":4233},[109],{"categories":4235},[114],{"categories":4237},[67],{"categories":4239},[],{"categories":4241},[67],{"categories":4243},[114],{"categories":4245},[128],{"categories":4247},[67],{"categories":4249},[67],{"categories":4251},[67],{"categories":4253},[286],{"categories":4255},[],{"categories":4257},[208],{"categories":4259},[208],{"categories":4261},[67],{"categories":4263},[114],{"categories":4265},[],{"categories":4267},[128],{"categories":4269},[67],{"categories":4271},[208],{"categories":4273},[67],{"categories":4275},[109],{"categories":4277},[114],{"categories":4279},[67],{"categories":4281},[],{"categories":4283},[153],{"categories":4285},[67],{"categories":4287},[67],{"categories":4289},[67],{"categories":4291},[67],{"categories":4293},[67],{"categories":4295},[208],{"categories":4297},[114],{"categories":4299},[153],{"categories":4301},[],{"categories":4303},[114],{"categories":4305},[67],{"categories":4307},[109],{"categories":4309},[114],{"categories":4311},[208],{"categories":4313},[67],{"categories":4315},[67],{"categories":4317},[67],{"categories":4319},[481],{"categories":4321},[67],{"categories":4323},[114],{"categories":4325},[],{"categories":4327},[67],{"categories":4329},[67],{"categories":4331},[286],{"categories":4333},[153],{"categories":4335},[131],{"categories":4337},[598],{"categories":4339},[131],{"categories":4341},[131],{"categories":4343},[67],{"categories":4345},[],{"categories":4347},[],{"categories":4349},[],{"categories":4351},[114],{"categories":4353},[67],{"categories":4355},[67],{"categories":4357},[114],{"categories":4359},[114],{"categories":4361},[128],{"categories":4363},[67],{"categories":4365},[452],{"categories":4367},[128],{"categories":4369},[67],{"categories":4371},[114],{"categories":4373},[67],{"categories":4375},[67],{"categories":4377},[67],{"categories":4379},[109],{"categories":4381},[67],{"categories":4383},[67],{"categories":4385},[67],{"categories":4387},[67],{"categories":4389},[114],{"categories":4391},[117],{"categories":4393},[67],{"categories":4395},[],{"categories":4397},[],{"categories":4399},[67],{"categories":4401},[],{"categories":4403},[67],{"categories":4405},[114],{"categories":4407},[208],{"categories":4409},[67],{"categories":4411},[67],{"categories":4413},[114],{"categories":4415},[],{"categories":4417},[114],{"categories":4419},[114],{"categories":4421},[67],{"categories":4423},[67],{"categories":4425},[67],{"categories":4427},[117],{"categories":4429},[67],{"categories":4431},[208],{"categories":4433},[67],{"categories":4435},[114],{"categories":4437},[109],{"categories":4439},[67],{"categories":4441},[67],{"categories":4443},[114],{"categories":4445},[67],{"categories":4447},[243],{"categories":4449},[114],{"categories":4451},[67],{"categories":4453},[67],{"categories":4455},[67],{"categories":4457},[942],{"categories":4459},[67],{"categories":4461},[114],{"categories":4463},[67],{"categories":4465},[128],{"categories":4467},[67],{"categories":4469},[550],{"categories":4471},[208],{"categories":4473},[],{"categories":4475},[67],{"categories":4477},[67],{"categories":4479},[153],{"categories":4481},[481],{"categories":4483},[114],{"categories":4485},[67],{"categories":4487},[],{"categories":4489},[153],{"categories":4491},[396],{"categories":4493},[114],{"categories":4495},[114],{"categories":4497},[114],{"categories":4499},[67],{"categories":4501},[67],{"categories":4503},[114],{"categories":4505},[67],{"categories":4507},[],{"categories":4509},[109],{"categories":4511},[67],{"categories":4513},[208],{"categories":4515},[109],{"categories":4517},[114],{"categories":4519},[128],{"categories":4521},[],{"categories":4523},[128],{"categories":4525},[67],{"categories":4527},[67],{"categories":4529},[104],{"categories":4531},[67],{"categories":4533},[153],{"categories":4535},[286],{"categories":4537},[142],{"categories":4539},[114],{"categories":4541},[114],{"categories":4543},[67],{"categories":4545},[67],{"categories":4547},[114],{"categories":4549},[67],{"categories":4551},[104],{"categories":4553},[],{"categories":4555},[114],{"categories":4557},[67],{"categories":4559},[67],{"categories":4561},[67],{"categories":4563},[114],{"categories":4565},[67],{"categories":4567},[],{"categories":4569},[67],{"categories":4571},[],{"categories":4573},[208],{"categories":4575},[114],{"categories":4577},[114],{"categories":4579},[67,109],{"categories":4581},[114],{"categories":4583},[67],{"categories":4585},[],{"categories":4587},[104],{"categories":4589},[131],{"categories":4591},[109],{"categories":4593},[114],{"categories":4595},[67],{"categories":4597},[128],{"categories":4599},[67],{"categories":4601},[67],{"categories":4603},[114],{"categories":4605},[67],{"categories":4607},[67],{"categories":4609},[67],{"categories":4611},[153],{"categories":4613},[1337],{"categories":4615},[114],{"categories":4617},[67],{"categories":4619},[],{"categories":4621},[],{"categories":4623},[67],{"categories":4625},[114],{"categories":4627},[67],{"categories":4629},[67],{"categories":4631},[286],{"categories":4633},[],{"categories":4635},[67],{"categories":4637},[114],{"categories":4639},[142],{"categories":4641},[114],{"categories":4643},[67],{"categories":4645},[481],{"categories":4647},[],{"categories":4649},[419],{"categories":4651},[67],{"categories":4653},[114],{"categories":4655},[67],{"categories":4657},[67],{"categories":4659},[67],{"categories":4661},[243],{"categories":4663},[67],{"categories":4665},[114],{"categories":4667},[67],{"categories":4669},[131],{"categories":4671},[117],{"categories":4673},[114],{"categories":4675},[67],{"categories":4677},[481],{"categories":4679},[67],{"categories":4681},[286],{"categories":4683},[109],{"categories":4685},[],{"categories":4687},[67],{"categories":4689},[67],{"categories":4691},[67],{"categories":4693},[243],{"categories":4695},[208],{"categories":4697},[67],{"categories":4699},[67],{"categories":4701},[67],{"categories":4703},[],{"categories":4705},[243],{"categories":4707},[153],{"categories":4709},[67],{"categories":4711},[67],{"categories":4713},[67],{"categories":4715},[598],{"categories":4717},[104],{"categories":4719},[67],{"categories":4721},[117],{"categories":4723},[67],{"categories":4725},[67],{"categories":4727},[],{"categories":4729},[],{"categories":4731},[208],{"categories":4733},[67],{"categories":4735},[67],{"categories":4737},[131],{"categories":4739},[243],{"categories":4741},[114],{"categories":4743},[67],{"categories":4745},[67],{"categories":4747},[243],{"categories":4749},[109],{"categories":4751},[153],{"categories":4753},[67],{"categories":4755},[67],{"categories":4757},[],{"categories":4759},[67],{"categories":4761},[67],{"categories":4763},[],{"categories":4765},[67],{"categories":4767},[67],{"categories":4769},[625],{"categories":4771},[67],{"categories":4773},[67],{"categories":4775},[114],{"categories":4777},[128],{"categories":4779},[481],{"categories":4781},[67],{"categories":4783},[109],{"categories":4785},[67],{"categories":4787},[67],{"categories":4789},[],{"categories":4791},[67,128],{"categories":4793},[153],{"categories":4795},[114],{"categories":4797},[128],{"categories":4799},[114],{"categories":4801},[984],{"categories":4803},[128],{"categories":4805},[128],{"categories":4807},[114],{"categories":4809},[67],{"categories":4811},[104],{"categories":4813},[67],{"categories":4815},[],{"categories":4817},[],{"categories":4819},[114],{"categories":4821},[67],{"categories":4823},[128],{"categories":4825},[114],{"categories":4827},[67],{"categories":4829},[104],{"categories":4831},[128],{"categories":4833},[128],{"categories":4835},[67],{"categories":4837},[243],{"categories":4839},[67],{"categories":4841},[67],{"categories":4843},[128],{"categories":4845},[67],{"categories":4847},[],{"categories":4849},[67],{"categories":4851},[67],{"categories":4853},[208,67],{"categories":4855},[286],{"categories":4857},[104],{"categories":4859},[67],{"categories":4861},[],{"categories":4863},[67],{"categories":4865},[67],{"categories":4867},[109],{"categories":4869},[67],{"categories":4871},[109],{"categories":4873},[67],{"categories":4875},[67],{"categories":4877},[396],{"categories":4879},[67],{"categories":4881},[109],{"categories":4883},[128],{"categories":4885},[131],{"categories":4887},[114],{"categories":4889},[67],{"categories":4891},[128],{"categories":4893},[67],{"categories":4895},[67],{"categories":4897},[153],{"categories":4899},[67],{"categories":4901},[243],{"categories":4903},[208],{"categories":4905},[67],{"categories":4907},[67],{"categories":4909},[117],{"categories":4911},[67],{"categories":4913},[67],{"categories":4915},[104],{"categories":4917},[67],{"categories":4919},[114],{"categories":4921},[114],{"categories":4923},[128],{"categories":4925},[67],{"categories":4927},[153],{"categories":4929},[128],{"categories":4931},[128],{"categories":4933},[67],{"categories":4935},[67],{"categories":4937},[],{"categories":4939},[],{"categories":4941},[131],{"categories":4943},[67],{"categories":4945},[128],{"categories":4947},[67],{"categories":4949},[208],{"categories":4951},[481],{"categories":4953},[419],{"categories":4955},[396],{"categories":4957},[67],{"categories":4959},[67],{"categories":4961},[128],{"categories":4963},[67],{"categories":4965},[131],{"categories":4967},[67],{"categories":4969},[67],{"categories":4971},[67],{"categories":4973},[67],{"categories":4975},[67],{"categories":4977},[67],{"categories":4979},[67],{"categories":4981},[114],{"categories":4983},[104],{"categories":4985},[117],{"categories":4987},[114],{"categories":4989},[67,109],{"categories":4991},[],{"categories":4993},[208],{"categories":4995},[],{"categories":4997},[117],{"categories":4999},[67],{"categories":5001},[153],{"categories":5003},[104],{"categories":5005},[67],{"categories":5007},[117],{"categories":5009},[104],{"categories":5011},[114],{"categories":5013},[131],{"categories":5015},[114],{"categories":5017},[109],{"categories":5019},[117],{"categories":5021},[67],{"categories":5023},[114],{"categories":5025},[67],{"categories":5027},[117],{"categories":5029},[67],{"categories":5031},[67],{"categories":5033},[109],{"categories":5035},[114],{"categories":5037},[128],{"categories":5039},[243],{"categories":5041},[67],{"categories":5043},[67],{"categories":5045},[],{"categories":5047},[153],{"categories":5049},[67],{"categories":5051},[67],{"categories":5053},[67],{"categories":5055},[67],{"categories":5057},[67],{"categories":5059},[67],{"categories":5061},[128],{"categories":5063},[153],{"categories":5065},[128],{"categories":5067},[128],{"categories":5069},[67],{"categories":5071},[67],{"categories":5073},[67],{"categories":5075},[67],{"categories":5077},[419],{"categories":5079},[67],{"categories":5081},[114],{"categories":5083},[114],{"categories":5085},[153],{"categories":5087},[67],{"categories":5089},[67],{"categories":5091},[67],{"categories":5093},[114],{"categories":5095},[67],{"categories":5097},[67],{"categories":5099},[67],{"categories":5101},[3522],{"categories":5103},[5104],"Clinical AI",{"categories":5106},[208],{"categories":5108},[67],{"categories":5110},[67],{"categories":5112},[67],{"categories":5114},[67],{"categories":5116},[286],{"categories":5118},[2793],{"categories":5120},[67],{"categories":5122},[117],{"categories":5124},[208],{"categories":5126},[67],{"categories":5128},[114],{"categories":5130},[67],{"categories":5132},[67],{"categories":5134},[153],{"categories":5136},[67],{"categories":5138},[114],{"categories":5140},[128],{"categories":5142},[243],{"categories":5144},[67],{"categories":5146},[67],{"categories":5148},[109],{"categories":5150},[67],{"categories":5152},[67],{"categories":5154},[550],{"categories":5156},[67],{"categories":5158},[],{"categories":5160},[114],{"categories":5162},[67],{"categories":5164},[128],{"categories":5166},[104],{"categories":5168},[67],{"categories":5170},[],{"categories":5172},[],{"categories":5174},[67],{"categories":5176},[],{"categories":5178},[109],{"categories":5180},[67],{"categories":5182},[114],{"categories":5184},[67],{"categories":5186},[114],{"categories":5188},[114],{"categories":5190},[67],{"categories":5192},[153],{"categories":5194},[153],{"categories":5196},[153],{"categories":5198},[153],{"categories":5200},[],{"categories":5202},[104],{"categories":5204},[114],{"categories":5206},[153],{"categories":5208},[67],{"categories":5210},[625],{"categories":5212},[117],{"categories":5214},[114],{"categories":5216},[67],{"categories":5218},[104],{"categories":5220},[67],{"categories":5222},[114],{"categories":5224},[67],{"categories":5226},[67],{"categories":5228},[67],{"categories":5230},[67],{"categories":5232},[67],{"categories":5234},[67,114],{"categories":5236},[114],{"categories":5238},[286],{"categories":5240},[67],{"categories":5242},[153],{"categories":5244},[114],{"categories":5246},[153],{"categories":5248},[114],{"categories":5250},[67],{"categories":5252},[],{"categories":5254},[153],{"categories":5256},[243],{"categories":5258},[104],{"categories":5260},[67],{"categories":5262},[67],{"categories":5264},[],{"categories":5266},[128],{"categories":5268},[],{"categories":5270},[104],{"categories":5272},[114],{"categories":5274},[153],{"categories":5276},[67],{"categories":5278},[153],{"categories":5280},[104],{"categories":5282},[153],{"categories":5284},[153],{"categories":5286},[],{"categories":5288},[109],{"categories":5290},[114],{"categories":5292},[153],{"categories":5294},[153],{"categories":5296},[153],{"categories":5298},[153],{"categories":5300},[153],{"categories":5302},[153],{"categories":5304},[153],{"categories":5306},[153],{"categories":5308},[153],{"categories":5310},[153],{"categories":5312},[131],{"categories":5314},[104],{"categories":5316},[67],{"categories":5318},[67],{"categories":5320},[114],{"categories":5322},[114],{"categories":5324},[],{"categories":5326},[67],{"categories":5328},[67,104],{"categories":5330},[],{"categories":5332},[114],{"categories":5334},[67],{"categories":5336},[153],{"categories":5338},[114],{"categories":5340},[114],{"categories":5342},[984],{"categories":5344},[67],{"categories":5346},[67],{"categories":5348},[67],{"categories":5350},[67],{"categories":5352},[117],{"categories":5354},[67],{"categories":5356},[67],{"categories":5358},[396],{"categories":5360},[67],{"categories":5362},[67],{"categories":5364},[114],{"categories":5366},[67],{"categories":5368},[67],{"categories":5370},[67],{"categories":5372},[67],{"categories":5374},[109],{"categories":5376},[117],{"categories":5378},[114],{"categories":5380},[114],{"categories":5382},[],{"categories":5384},[114],{"categories":5386},[208],{"categories":5388},[153],{"categories":5390},[67],{"categories":5392},[],{"categories":5394},[67],{"categories":5396},[117],{"categories":5398},[117],{"categories":5400},[],{"categories":5402},[128],{"categories":5404},[67],{"categories":5406},[114],{"categories":5408},[208],{"categories":5410},[67],{"categories":5412},[67],{"categories":5414},[],{"categories":5416},[67],{"categories":5418},[67],{"categories":5420},[],{"categories":5422},[243],{"categories":5424},[67],{"categories":5426},[114],{"categories":5428},[],{"categories":5430},[],{"categories":5432},[67],{"categories":5434},[153],{"categories":5436},[104],{"categories":5438},[67],{"categories":5440},[67],{"categories":5442},[109],{"categories":5444},[67],{"categories":5446},[67],{"categories":5448},[114],{"categories":5450},[67],{"categories":5452},[109],{"categories":5454},[109],{"categories":5456},[208],{"categories":5458},[],{"categories":5460},[67],{"categories":5462},[109],{"categories":5464},[153],{"categories":5466},[],{"categories":5468},[67],{"categories":5470},[67],{"categories":5472},[208],{"categories":5474},[67],{"categories":5476},[67],{"categories":5478},[243],{"categories":5480},[67],{"categories":5482},[286],{"categories":5484},[],{"categories":5486},[114],{"categories":5488},[67],{"categories":5490},[243],{"categories":5492},[128],{"categories":5494},[],{"categories":5496},[67],{"categories":5498},[],{"categories":5500},[114],{"categories":5502},[208],{"categories":5504},[128],{"categories":5506},[],{"categories":5508},[3522],{"categories":5510},[109],{"categories":5512},[104],{"categories":5514},[67],{"categories":5516},[114],{"categories":5518},[131],{"categories":5520},[114],{"categories":5522},[67],{"categories":5524},[208],{"categories":5526},[67],{"categories":5528},[67],{"categories":5530},[128],{"categories":5532},[],{"categories":5534},[],{"categories":5536},[67],{"categories":5538},[104],{"categories":5540},[67],{"categories":5542},[243],{"categories":5544},[],{"categories":5546},[114],{"categories":5548},[114],{"categories":5550},[67],{"categories":5552},[114],{"categories":5554},[67],{"categories":5556},[153],{"categories":5558},[67],{"categories":5560},[128],{"categories":5562},[67],{"categories":5564},[67],{"categories":5566},[114],{"categories":5568},[117],{"categories":5570},[67],{"categories":5572},[67],{"categories":5574},[67],{"categories":5576},[67],{"categories":5578},[114],{"categories":5580},[67],{"categories":5582},[117],{"categories":5584},[243],{"categories":5586},[153],{"categories":5588},[],{"categories":5590},[243],{"categories":5592},[67],{"categories":5594},[],{"categories":5596},[128],{"categories":5598},[114],{"categories":5600},[],{"categories":5602},[67],{"categories":5604},[67],{"categories":5606},[67],{"categories":5608},[67],{"categories":5610},[67],{"categories":5612},[114],{"categories":5614},[109],{"categories":5616},[104],{"categories":5618},[67],{"categories":5620},[67],{"categories":5622},[114],{"categories":5624},[67],{"categories":5626},[208],{"categories":5628},[128],{"categories":5630},[128],{"categories":5632},[67],{"categories":5634},[131],{"categories":5636},[114],{"categories":5638},[67],{"categories":5640},[67],{"categories":5642},[114],{"categories":5644},[67],{"categories":5646},[67],{"categories":5648},[67],{"categories":5650},[114],{"categories":5652},[109],{"categories":5654},[67],{"categories":5656},[208],{"categories":5658},[128],{"categories":5660},[114],{"categories":5662},[67],{"categories":5664},[117],{"categories":5666},[67],{"categories":5668},[117],{"categories":5670},[114],{"categories":5672},[67],{"categories":5674},[67],{"categories":5676},[153],{"categories":5678},[67],{"categories":5680},[],{"categories":5682},[104],{"categories":5684},[67],{"categories":5686},[67],{"categories":5688},[67],{"categories":5690},[128],{"categories":5692},[128],{"categories":5694},[67],{"categories":5696},[128],{"categories":5698},[67],{"categories":5700},[114],{"categories":5702},[67],{"categories":5704},[67],{"categories":5706},[67],{"categories":5708},[67],{"categories":5710},[67],{"categories":5712},[],{"categories":5714},[67],{"categories":5716},[208],{"categories":5718},[114],{"categories":5720},[109],{"categories":5722},[153],{"categories":5724},[67],{"categories":5726},[114],{"categories":5728},[67],{"categories":5730},[114],{"categories":5732},[67],{"categories":5734},[67],{"categories":5736},[208],{"categories":5738},[114],{"categories":5740},[67],{"categories":5742},[243],{"categories":5744},[109],{"categories":5746},[67],{"categories":5748},[131],{"categories":5750},[67],{"categories":5752},[114],{"categories":5754},[67],{"categories":5756},[153],{"categories":5758},[67],{"categories":5760},[67],{"categories":5762},[67],{"categories":5764},[67],{"categories":5766},[114],{"categories":5768},[286],{"categories":5770},[67],{"categories":5772},[128],{"categories":5774},[114],{"categories":5776},[131],{"categories":5778},[],{"categories":5780},[114],{"categories":5782},[128],{"categories":5784},[67],{"categories":5786},[67],{"categories":5788},[67],{"categories":5790},[2613],{"categories":5792},[67],{"categories":5794},[208],{"categories":5796},[323],{"categories":5798},[67],{"categories":5800},[67],{"categories":5802},[67],{"categories":5804},[67],{"categories":5806},[67],{"categories":5808},[104],{"categories":5810},[114],{"categories":5812},[67],{"categories":5814},[67],{"categories":5816},[128],{"categories":5818},[109],{"categories":5820},[67],{"categories":5822},[67],{"categories":5824},[128],{"categories":5826},[67],{"categories":5828},[],{"categories":5830},[114],{"categories":5832},[114],{"categories":5834},[67],{"categories":5836},[67],{"categories":5838},[67],{"categories":5840},[131],{"categories":5842},[],{"categories":5844},[153],{"categories":5846},[],{"categories":5848},[153],{"categories":5850},[67],{"categories":5852},[67],{"categories":5854},[67],{"categories":5856},[114],{"categories":5858},[67],{"categories":5860},[114],{"categories":5862},[114],{"categories":5864},[],{"categories":5866},[67],{"categories":5868},[153],{"categories":5870},[67],{"categories":5872},[],{"categories":5874},[67],{"categories":5876},[208],{"categories":5878},[67],{"categories":5880},[],{"categories":5882},[67],{"categories":5884},[67],{"categories":5886},[208],{"categories":5888},[128],{"categories":5890},[114],{"categories":5892},[67],{"categories":5894},[67],{"categories":5896},[67],{"categories":5898},[67],{"categories":5900},[67],{"categories":5902},[243],{"categories":5904},[67],{"categories":5906},[67],{"categories":5908},[67],{"categories":5910},[104],{"categories":5912},[67],{"categories":5914},[67],{"categories":5916},[],{"categories":5918},[67],{"categories":5920},[67],{"categories":5922},[67],{"categories":5924},[],{"categories":5926},[114],{"categories":5928},[104],{"categories":5930},[67],{"categories":5932},[67],{"categories":5934},[67],{"categories":5936},[114],{"categories":5938},[67],{"categories":5940},[153],{"categories":5942},[67],{"categories":5944},[128],{"categories":5946},[117],{"categories":5948},[114],{"categories":5950},[481],{"categories":5952},[67],{"categories":5954},[67],{"categories":5956},[67],{"categories":5958},[67],{"categories":5960},[128],{"categories":5962},[153],{"categories":5964},[208],{"categories":5966},[67],{"categories":5968},[67],{"categories":5970},[67],{"categories":5972},[67],{"categories":5974},[67],{"categories":5976},[67],{"categories":5978},[153],{"categories":5980},[67],{"categories":5982},[208],{"categories":5984},[67],{"categories":5986},[67],{"categories":5988},[153],{"categories":5990},[208],{"categories":5992},[67],{"categories":5994},[153],{"categories":5996},[67],{"categories":5998},[114],{"categories":6000},[114],{"categories":6002},[114],{"categories":6004},[67],{"categories":6006},[128],{"categories":6008},[153],{"categories":6010},[114],{"categories":6012},[114],{"categories":6014},[67],{"categories":6016},[128],{"categories":6018},[208],{"categories":6020},[67],{"categories":6022},[67],{"categories":6024},[114],{"categories":6026},[67],{"categories":6028},[],{"categories":6030},[114],{"categories":6032},[],{"categories":6034},[67],{"categories":6036},[67],{"categories":6038},[],{"categories":6040},[],{"categories":6042},[114],{"categories":6044},[109],{"categories":6046},[114],{"categories":6048},[6049],"Liability & Ethics",{"categories":6051},[67],{"categories":6053},[67],{"categories":6055},[67],{"categories":6057},[114],{"categories":6059},[104],{"categories":6061},[114],{"categories":6063},[109],{"categories":6065},[243],{"categories":6067},[67],{"categories":6069},[114],{"categories":6071},[67],{"categories":6073},[67],{"categories":6075},[67],{"categories":6077},[],{"categories":6079},[598],{"categories":6081},[114],{"categories":6083},[],{"categories":6085},[67],{"categories":6087},[104],{"categories":6089},[114],{"categories":6091},[67],{"categories":6093},[],{"categories":6095},[114],{"categories":6097},[67],{"categories":6099},[67],{"categories":6101},[128],{"categories":6103},[67],{"categories":6105},[153],{"categories":6107},[67],{"categories":6109},[67],{"categories":6111},[117],{"categories":6113},[67],{"categories":6115},[114],{"categories":6117},[67],{"categories":6119},[67],{"categories":6121},[67],{"categories":6123},[153],{"categories":6125},[114],{"categories":6127},[128],{"categories":6129},[208],{"categories":6131},[104],{"categories":6133},[67],{"categories":6135},[67],{"categories":6137},[67],{"categories":6139},[],{"categories":6141},[114],{"categories":6143},[114],{"categories":6145},[114],{"categories":6147},[481],{"categories":6149},[114],{"categories":6151},[208],{"categories":6153},[114],{"categories":6155},[286],{"categories":6157},[128],{"categories":6159},[153],{"categories":6161},[67],{"categories":6163},[208],{"categories":6165},[67],{"categories":6167},[104],{"categories":6169},[67],{"categories":6171},[],{"categories":6173},[67],{"categories":6175},[114],{"categories":6177},[67],{"categories":6179},[67],{"categories":6181},[67],{"categories":6183},[67],{"categories":6185},[114],{"categories":6187},[67],{"categories":6189},[67],{"categories":6191},[208],{"categories":6193},[114],{"categories":6195},[],{"categories":6197},[114],{"categories":6199},[117],{"categories":6201},[67],{"categories":6203},[153],{"categories":6205},[114],{"categories":6207},[109],{"categories":6209},[],{"categories":6211},[67],{"categories":6213},[67],{"categories":6215},[117],{"categories":6217},[67],{"categories":6219},[114],{"categories":6221},[153],{"categories":6223},[104],{"categories":6225},[286],{"categories":6227},[67],{"categories":6229},[67],{"categories":6231},[67],{"categories":6233},[153],{"categories":6235},[109],{"categories":6237},[67],{"categories":6239},[208],{"categories":6241},[153],{"categories":6243},[286],{"categories":6245},[67],{"categories":6247},[114],{"categories":6249},[],{"categories":6251},[550],{"categories":6253},[],{"categories":6255},[67],{"categories":6257},[286],{"categories":6259},[67],{"categories":6261},[131],{"categories":6263},[67],{"categories":6265},[114],{"categories":6267},[114],{"categories":6269},[6270],"Design News & Tools",{"categories":6272},[67],{"categories":6274},[67],{"categories":6276},[153],{"categories":6278},[67],{"categories":6280},[67],{"categories":6282},[67],{"categories":6284},[104],{"categories":6286},[114],{"categories":6288},[67],{"categories":6290},[208],{"categories":6292},[114],{"categories":6294},[114],{"categories":6296},[208],{"categories":6298},[67],{"categories":6300},[67],{"categories":6302},[67],{"categories":6304},[481],{"categories":6306},[114],{"categories":6308},[67],{"categories":6310},[114],{"categories":6312},[67],{"categories":6314},[67],{"categories":6316},[481],{"categories":6318},[67],{"categories":6320},[243],{"categories":6322},[67],{"categories":6324},[114],{"categories":6326},[114],{"categories":6328},[],{"categories":6330},[67],{"categories":6332},[67],{"categories":6334},[67],{"categories":6336},[153],{"categories":6338},[67],{"categories":6340},[104],{"categories":6342},[],{"categories":6344},[67],{"categories":6346},[67],{"categories":6348},[67],{"categories":6350},[128],{"categories":6352},[625],{"categories":6354},[128],{"categories":6356},[208],{"categories":6358},[67],{"categories":6360},[67,114],{"categories":6362},[243,109],{"categories":6364},[128],{"categories":6366},[67],{"categories":6368},[67],{"categories":6370},[67],{"categories":6372},[67],{"categories":6374},[],{"categories":6376},[128],{"categories":6378},[114],{"categories":6380},[67],{"categories":6382},[67],{"categories":6384},[],{"categories":6386},[67],{"categories":6388},[128],{"categories":6390},[67],{"categories":6392},[128],{"categories":6394},[67],{"categories":6396},[],{"categories":6398},[114],{"categories":6400},[67],{"categories":6402},[109],{"categories":6404},[67],{"categories":6406},[153],{"categories":6408},[67],{"categories":6410},[],{"categories":6412},[67],{"categories":6414},[114],{"categories":6416},[67],{"categories":6418},[],{"categories":6420},[208],{"categories":6422},[67],{"categories":6424},[67],{"categories":6426},[114],{"categories":6428},[67],{"categories":6430},[67],{"categories":6432},[67],{"categories":6434},[104],{"categories":6436},[67],{"categories":6438},[114],{"categories":6440},[67],{"categories":6442},[],{"categories":6444},[67],{"categories":6446},[286],{"categories":6448},[243],{"categories":6450},[109],{"categories":6452},[109],{"categories":6454},[67],{"categories":6456},[67],{"categories":6458},[104],{"categories":6460},[104],{"categories":6462},[67],{"categories":6464},[114],{"categories":6466},[67],{"categories":6468},[67],{"categories":6470},[67],{"categories":6472},[67],{"categories":6474},[128],{"categories":6476},[67],{"categories":6478},[104],{"categories":6480},[67],{"categories":6482},[67],{"categories":6484},[114],{"categories":6486},[67],{"categories":6488},[243],{"categories":6490},[67],{"categories":6492},[153],{"categories":6494},[67],{"categories":6496},[67],{"categories":6498},[114],{"categories":6500},[117],{"categories":6502},[67],{"categories":6504},[114],{"categories":6506},[67],{"categories":6508},[114],{"categories":6510},[],{"categories":6512},[128],{"categories":6514},[],{"categories":6516},[128],{"categories":6518},[114],{"categories":6520},[104],{"categories":6522},[67],{"categories":6524},[],{"categories":6526},[131],{"categories":6528},[286],{"categories":6530},[67],{"categories":6532},[128],{"categories":6534},[67],{"categories":6536},[],{"categories":6538},[153],{"categories":6540},[114],{"categories":6542},[128],{"categories":6544},[208],{"categories":6546},[109],{"categories":6548},[67],{"categories":6550},[67],{"categories":6552},[114],{"categories":6554},[128],{"categories":6556},[114],{"categories":6558},[153],{"categories":6560},[67],{"categories":6562},[117],{"categories":6564},[104],{"categories":6566},[117],{"categories":6568},[153],{"categories":6570},[67],{"categories":6572},[67],{"categories":6574},[128],{"categories":6576},[67],{"categories":6578},[208],{"categories":6580},[109],{"categories":6582},[67],{"categories":6584},[67],{"categories":6586},[67],{"categories":6588},[67],{"categories":6590},[67],{"categories":6592},[67],{"categories":6594},[114],{"categories":6596},[67],{"categories":6598},[67],{"categories":6600},[67],{"categories":6602},[114],{"categories":6604},[67],{"categories":6606},[67],{"categories":6608},[104],{"categories":6610},[67],{"categories":6612},[114],{"categories":6614},[114],{"categories":6616},[208],{"categories":6618},[114],{"categories":6620},[67],{"categories":6622},[114],{"categories":6624},[67],{"categories":6626},[104],{"categories":6628},[114],{"categories":6630},[208],{"categories":6632},[],{"categories":6634},[67],{"categories":6636},[131],{"categories":6638},[481],{"categories":6640},[67],{"categories":6642},[114],{"categories":6644},[67],{"categories":6646},[67],{"categories":6648},[128],{"categories":6650},[67],{"categories":6652},[],{"categories":6654},[67],{"categories":6656},[114],{"categories":6658},[109],{"categories":6660},[67],{"categories":6662},[243],{"categories":6664},[208],{"categories":6666},[67],{"categories":6668},[128],{"categories":6670},[67],{"categories":6672},[67],{"categories":6674},[153],{"categories":6676},[114],{"categories":6678},[67],{"categories":6680},[243],{"categories":6682},[114],{"categories":6684},[109],{"categories":6686},[109],{"categories":6688},[67],{"categories":6690},[67],{"categories":6692},[67],{"categories":6694},[67],{"categories":6696},[67],{"categories":6698},[67],{"categories":6700},[104],{"categories":6702},[67],{"categories":6704},[],{"categories":6706},[67],{"categories":6708},[67],{"categories":6710},[114],{"categories":6712},[67],{"categories":6714},[114],{"categories":6716},[67],{"categories":6718},[67],{"categories":6720},[67],{"categories":6722},[67],{"categories":6724},[67],{"categories":6726},[67],{"categories":6728},[128],{"categories":6730},[],{"categories":6732},[104],{"categories":6734},[67],{"categories":6736},[67],{"categories":6738},[114],{"categories":6740},[114],{"categories":6742},[],{"categories":6744},[128],{"categories":6746},[128],{"categories":6748},[67],{"categories":6750},[243],{"categories":6752},[109],{"categories":6754},[208],{"categories":6756},[67],{"categories":6758},[],{"categories":6760},[67],{"categories":6762},[114],{"categories":6764},[104],{"categories":6766},[67],{"categories":6768},[67],{"categories":6770},[128],{"categories":6772},[104],{"categories":6774},[67],{"categories":6776},[67],{"categories":6778},[153],{"categories":6780},[131],{"categories":6782},[67],{"categories":6784},[153],{"categories":6786},[67],{"categories":6788},[114],{"categories":6790},[67],{"categories":6792},[67],{"categories":6794},[],{"categories":6796},[153],{"categories":6798},[114],{"categories":6800},[208],{"categories":6802},[131],{"categories":6804},[67],{"categories":6806},[67],{"categories":6808},[67],{"categories":6810},[],{"categories":6812},[114],{"categories":6814},[114],{"categories":6816},[114],{"categories":6818},[3522],{"categories":6820},[153],{"categories":6822},[67],{"categories":6824},[128],{"categories":6826},[117],{"categories":6828},[67],{"categories":6830},[67],{"categories":6832},[67],{"categories":6834},[67],{"categories":6836},[67],{"categories":6838},[114],{"categories":6840},[67],{"categories":6842},[109],{"categories":6844},[67],{"categories":6846},[104],{"categories":6848},[1987],{"categories":6850},[286],{"categories":6852},[104],{"categories":6854},[],{"categories":6856},[117],{"categories":6858},[67],{"categories":6860},[],{"categories":6862},[67],{"categories":6864},[153],{"categories":6866},[114],{"categories":6868},[208],{"categories":6870},[67],{"categories":6872},[114],{"categories":6874},[67],{"categories":6876},[67],{"categories":6878},[67],{"categories":6880},[67],{"categories":6882},[153],{"categories":6884},[],{"categories":6886},[67],{"categories":6888},[114],{"categories":6890},[67],{"categories":6892},[114],{"categories":6894},[114],{"categories":6896},[],{"categories":6898},[67],{"categories":6900},[],{"categories":6902},[153],{"categories":6904},[104],{"categories":6906},[67],{"categories":6908},[208],{"categories":6910},[67],{"categories":6912},[114],{"categories":6914},[153],{"categories":6916},[67],{"categories":6918},[153],{"categories":6920},[],{"categories":6922},[153],{"categories":6924},[67],{"categories":6926},[104],{"categories":6928},[114],{"categories":6930},[481],{"categories":6932},[67],{"categories":6934},[114],{"categories":6936},[67],{"categories":6938},[],{"categories":6940},[128],{"categories":6942},[114],{"categories":6944},[117],{"categories":6946},[114],{"categories":6948},[67],{"categories":6950},[104],{"categories":6952},[67],{"categories":6954},[67],{"categories":6956},[],{"categories":6958},[],{"categories":6960},[],{"categories":6962},[208],{"categories":6964},[67],{"categories":6966},[114],{"categories":6968},[67],{"categories":6970},[67],{"categories":6972},[],{"categories":6974},[],{"categories":6976},[],{"categories":6978},[67],{"categories":6980},[114],{"categories":6982},[208],{"categories":6984},[67],{"categories":6986},[67],{"categories":6988},[],{"categories":6990},[114],{"categories":6992},[67],{"categories":6994},[67],{"categories":6996},[104],{"categories":6998},[],{"categories":7000},[],{"categories":7002},[67],{"categories":7004},[67],{"categories":7006},[67],{"categories":7008},[114],{"categories":7010},[208],{"categories":7012},[67],{"categories":7014},[153],{"categories":7016},[],{"categories":7018},[67],{"categories":7020},[67],{"categories":7022},[243],{"categories":7024},[153],{"categories":7026},[243],{"categories":7028},[128],{"categories":7030},[131],{"categories":7032},[67],{"categories":7034},[67],{"categories":7036},[],{"categories":7038},[],{"categories":7040},[114],{"categories":7042},[],{"categories":7044},[67],{"categories":7046},[481],{"categories":7048},[67],{"categories":7050},[67],{"categories":7052},[67],{"categories":7054},[67],{"categories":7056},[],{"categories":7058},[114],{"categories":7060},[67],{"categories":7062},[67],{"categories":7064},[],{"categories":7066},[114],{"categories":7068},[114],{"categories":7070},[67],{"categories":7072},[153],{"categories":7074},[67],{"categories":7076},[243],{"categories":7078},[67],{"categories":7080},[114],{"categories":7082},[109],{"categories":7084},[117],{"categories":7086},[67],{"categories":7088},[67],{"categories":7090},[114],{"categories":7092},[114],{"categories":7094},[131],{"categories":7096},[114],{"categories":7098},[114],{"categories":7100},[],{"categories":7102},[67],{"categories":7104},[114],{"categories":7106},[],{"categories":7108},[67],{"categories":7110},[],{"categories":7112},[153],{"categories":7114},[109],{"categories":7116},[],{"categories":7118},[67],{"categories":7120},[67],{"categories":7122},[67],{"categories":7124},[],{"categories":7126},[114],{"categories":7128},[208],{"categories":7130},[104],{"categories":7132},[67],{"categories":7134},[],{"categories":7136},[109],{"categories":7138},[243],{"categories":7140},[67],{"categories":7142},[128],{"categories":7144},[104],{"categories":7146},[131],{"categories":7148},[109],{"categories":7150},[128],{"categories":7152},[114],{"categories":7154},[128],{"categories":7156},[],{"categories":7158},[67],{"categories":7160},[117],{"categories":7162},[117],{"categories":7164},[67],{"categories":7166},[],{"categories":7168},[114],{"categories":7170},[114],{"categories":7172},[104],{"categories":7174},[208],{"categories":7176},[67],{"categories":7178},[67],{"categories":7180},[104],{"categories":7182},[114],{"categories":7184},[286],{"categories":7186},[67],{"categories":7188},[67],{"categories":7190},[67],{"categories":7192},[67],{"categories":7194},[67],{"categories":7196},[104],{"categories":7198},[67],{"categories":7200},[128],{"categories":7202},[131],{"categories":7204},[114],{"categories":7206},[],{"categories":7208},[67],{"categories":7210},[67],{"categories":7212},[67],{"categories":7214},[128],{"categories":7216},[114],{"categories":7218},[153],{"categories":7220},[128],{"categories":7222},[67],{"categories":7224},[117],{"categories":7226},[67],{"categories":7228},[],{"categories":7230},[208],{"categories":7232},[128],{"categories":7234},[153],{"categories":7236},[67],{"categories":7238},[67],{"categories":7240},[104],{"categories":7242},[114],{"categories":7244},[67],{"categories":7246},[67],{"categories":7248},[114],{"categories":7250},[117],{"categories":7252},[67],{"categories":7254},[114],{"categories":7256},[67],{"categories":7258},[109],{"categories":7260},[67],{"categories":7262},[114],{"categories":7264},[114,286],{"categories":7266},[67],{"categories":7268},[67],{"categories":7270},[114],{"categories":7272},[128],{"categories":7274},[67],{"categories":7276},[67],{"categories":7278},[67],{"categories":7280},[131],{"categories":7282},[114],{"categories":7284},[243],{"categories":7286},[114],{"categories":7288},[109],{"categories":7290},[],{"categories":7292},[114],{"categories":7294},[67],{"categories":7296},[109],{"categories":7298},[],{"categories":7300},[],{"categories":7302},[67],{"categories":7304},[128],{"categories":7306},[67],{"categories":7308},[67],{"categories":7310},[67],{"categories":7312},[114],{"categories":7314},[67],{"categories":7316},[131],{"categories":7318},[243],{"categories":7320},[67],{"categories":7322},[67],{"categories":7324},[67],{"categories":7326},[67],{"categories":7328},[114],{"categories":7330},[],{"categories":7332},[114],{"categories":7334},[153],{"categories":7336},[67],{"categories":7338},[114],{"categories":7340},[114],{"categories":7342},[67],{"categories":7344},[],{"categories":7346},[153],{"categories":7348},[128],{"categories":7350},[3522],{"categories":7352},[104],{"categories":7354},[128],{"categories":7356},[67],{"categories":7358},[114],{"categories":7360},[67],{"categories":7362},[67],{"categories":7364},[243],{"categories":7366},[128],{"categories":7368},[131],{"categories":7370},[],{"categories":7372},[153],{"categories":7374},[67],{"categories":7376},[67],{"categories":7378},[],{"categories":7380},[114],{"categories":7382},[67],{"categories":7384},[67],{"categories":7386},[67],{"categories":7388},[67],{"categories":7390},[114],{"categories":7392},[67],{"categories":7394},[67],{"categories":7396},[67],{"categories":7398},[67],{"categories":7400},[67],{"categories":7402},[117],{"categories":7404},[67],{"categories":7406},[114],{"categories":7408},[67],{"categories":7410},[67],{"categories":7412},[67],{"categories":7414},[67],{"categories":7416},[67],{"categories":7418},[67],{"categories":7420},[67],{"categories":7422},[109],{"categories":7424},[],{"categories":7426},[117],{"categories":7428},[67],{"categories":7430},[153],{"categories":7432},[114],{"categories":7434},[67],{"categories":7436},[128],{"categories":7438},[],{"categories":7440},[128],{"categories":7442},[128],{"categories":7444},[114],{"categories":7446},[128],{"categories":7448},[67],{"categories":7450},[67],{"categories":7452},[67],{"categories":7454},[114],{"categories":7456},[128],{"categories":7458},[67],{"categories":7460},[67],{"categories":7462},[67],{"categories":7464},[114],{"categories":7466},[153],{"categories":7468},[67],{"categories":7470},[67],{"categories":7472},[67],{"categories":7474},[109],{"categories":7476},[67],{"categories":7478},[114],{"categories":7480},[208],{"categories":7482},[],{"categories":7484},[67],{"categories":7486},[67],{"categories":7488},[131],{"categories":7490},[67],{"categories":7492},[114],{"categories":7494},[67],{"categories":7496},[67],{"categories":7498},[],{"categories":7500},[67],{"categories":7502},[67],{"categories":7504},[153],{"categories":7506},[67],{"categories":7508},[67],{"categories":7510},[114],{"categories":7512},[243],{"categories":7514},[],{"categories":7516},[],{"categories":7518},[128],{"categories":7520},[67],{"categories":7522},[67],{"categories":7524},[117],{"categories":7526},[153],{"categories":7528},[67],{"categories":7530},[128],{"categories":7532},[153],{"categories":7534},[67],{"categories":7536},[67],{"categories":7538},[243],{"categories":7540},[131],{"categories":7542},[67],{"categories":7544},[67],{"categories":7546},[104],{"categories":7548},[114],{"categories":7550},[67],{"categories":7552},[67],{"categories":7554},[114],{"categories":7556},[109],{"categories":7558},[114],{"categories":7560},[128],{"categories":7562},[67],{"categories":7564},[109],{"categories":7566},[],{"categories":7568},[67],{"categories":7570},[131],{"categories":7572},[67],{"categories":7574},[67],{"categories":7576},[],{"categories":7578},[153],{"categories":7580},[67],{"categories":7582},[114],{"categories":7584},[131],{"categories":7586},[67],{"categories":7588},[128],{"categories":7590},[128],{"categories":7592},[128],{"categories":7594},[67],{"categories":7596},[114],{"categories":7598},[114],{"categories":7600},[67],{"categories":7602},[114],{"categories":7604},[67],{"categories":7606},[67],{"categories":7608},[208],{"categories":7610},[131],{"categories":7612},[131],{"categories":7614},[],{"categories":7616},[153],{"categories":7618},[67],{"categories":7620},[67],{"categories":7622},[128],{"categories":7624},[],{"categories":7626},[153],{"categories":7628},[153],{"categories":7630},[153],{"categories":7632},[],{"categories":7634},[114],{"categories":7636},[67],{"categories":7638},[],{"categories":7640},[104],{"categories":7642},[109],{"categories":7644},[],{"categories":7646},[67],{"categories":7648},[67],{"categories":7650},[],{"categories":7652},[128],{"categories":7654},[],{"categories":7656},[],{"categories":7658},[],{"categories":7660},[],{"categories":7662},[67],{"categories":7664},[153],{"categories":7666},[],{"categories":7668},[],{"categories":7670},[67],{"categories":7672},[67],{"categories":7674},[67],{"categories":7676},[131],{"categories":7678},[67],{"categories":7680},[131],{"categories":7682},[],{"categories":7684},[131],{"categories":7686},[131],{"categories":7688},[286],{"categories":7690},[114],{"categories":7692},[128],{"categories":7694},[],{"categories":7696},[],{"categories":7698},[131],{"categories":7700},[128],{"categories":7702},[128],{"categories":7704},[128],{"categories":7706},[],{"categories":7708},[104],{"categories":7710},[128],{"categories":7712},[128],{"categories":7714},[104],{"categories":7716},[128],{"categories":7718},[109],{"categories":7720},[128],{"categories":7722},[128],{"categories":7724},[128],{"categories":7726},[131],{"categories":7728},[153],{"categories":7730},[153],{"categories":7732},[67],{"categories":7734},[128],{"categories":7736},[131],{"categories":7738},[286],{"categories":7740},[131],{"categories":7742},[131],{"categories":7744},[131],{"categories":7746},[],{"categories":7748},[109],{"categories":7750},[],{"categories":7752},[286],{"categories":7754},[128],{"categories":7756},[128],{"categories":7758},[128],{"categories":7760},[114],{"categories":7762},[153,109],{"categories":7764},[131],{"categories":7766},[],{"categories":7768},[],{"categories":7770},[131],{"categories":7772},[],{"categories":7774},[131],{"categories":7776},[153],{"categories":7778},[114],{"categories":7780},[],{"categories":7782},[128],{"categories":7784},[67],{"categories":7786},[208],{"categories":7788},[],{"categories":7790},[67],{"categories":7792},[],{"categories":7794},[153],{"categories":7796},[104],{"categories":7798},[131],{"categories":7800},[],{"categories":7802},[128],{"categories":7804},[153],[7806,7854,7911,7986],{"id":7807,"title":7808,"ai":7809,"body":7814,"categories":7834,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":7835,"navigation":83,"path":7844,"published_at":7845,"question":68,"scraped_at":7845,"seo":7846,"sitemap":7847,"source_id":7848,"source_name":89,"source_type":90,"source_url":7839,"stem":7849,"tags":7850,"thumbnail_url":68,"tldr":7851,"tweet":68,"unknown_tags":7852,"__hash__":7853},"summaries\u002Fsummaries\u002F1bc5b780d9811676-predicting-objective-conflict-in-pluralistic-ai-al-summary.md","Predicting Objective Conflict in Pluralistic AI Alignment",{"provider":7,"model":8,"input_tokens":7810,"output_tokens":7811,"processing_time_ms":7812,"cost_usd":7813},4057,478,3170,0.00173125,{"type":14,"value":7815,"toc":7830},[7816,7820,7823,7827],[17,7817,7819],{"id":7818},"identifying-inherent-objective-conflicts","Identifying Inherent Objective Conflicts",[22,7821,7822],{},"Modern AI alignment often fails because it attempts to optimize for a single, monolithic objective, ignoring that human values are inherently pluralistic and often contradictory. This paper proposes a systematic method for predicting when two objectives will conflict. By mapping the Pareto frontier of potential outcomes, the authors demonstrate that developers can identify which objectives require 'dials'—user-facing controls that allow for dynamic adjustment—and which can be safely optimized toward a single target. The research argues that forcing a consensus on conflicting objectives leads to 'alignment tax,' where the model performs poorly on both metrics rather than allowing the user to prioritize one based on context.",[17,7824,7826],{"id":7825},"implementing-steerable-pluralistic-alignment","Implementing Steerable Pluralistic Alignment",[22,7828,7829],{},"Instead of seeking a singular 'correct' output, the authors advocate for a steerable architecture that covers the trade-off space. The framework uses predictive modeling to determine the sensitivity of an objective to specific inputs. When the model detects high conflict between objectives (e.g., 'helpfulness' vs. 'conciseness' or 'safety' vs. 'verbosity'), it exposes a control mechanism to the user. This approach moves away from static fine-tuning toward a dynamic, preference-aware system. By quantifying the trade-offs, developers can build interfaces that make these hidden tensions explicit, empowering users to navigate the Pareto frontier themselves rather than relying on the model's opaque, pre-baked compromises.",{"title":60,"searchDepth":61,"depth":61,"links":7831},[7832,7833],{"id":7818,"depth":61,"text":7819},{"id":7825,"depth":61,"text":7826},[67],{"content_references":7836,"triage":7841},[7837],{"type":74,"title":7838,"url":7839,"context":7840},"Which Objectives Need a Dial? Predicting Objective Conflict and Covering Trade-offs in Steerable Pluralistic Alignment","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.26929","cited",{"relevance":79,"novelty":79,"quality":79,"actionability":80,"composite":7842,"reasoning":7843},3.8,"Category: AI & LLMs. The article addresses a specific audience pain point by providing a framework for managing conflicting AI objectives, which is crucial for developers working on AI alignment. It introduces a novel approach to dynamic adjustment of objectives, which is actionable but lacks detailed implementation steps.","\u002Fsummaries\u002F1bc5b780d9811676-predicting-objective-conflict-in-pluralistic-ai-al-summary","2026-09-25 03:18:22",{"title":7808,"description":60},{"loc":7844},"1bc5b780d9811676","summaries\u002F1bc5b780d9811676-predicting-objective-conflict-in-pluralistic-ai-al-summary",[94,93,95],"This research introduces a framework for identifying which AI objectives are inherently conflicting, allowing developers to implement 'dials' for steerable, pluralistic alignment rather than forcing a single, static optimization path.",[95],"B-ATE3gfn6DHSMYwjqUViLJ1119a8LVGNkoZeWewjs8",{"id":7855,"title":7856,"ai":7857,"body":7862,"categories":7890,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":7891,"navigation":83,"path":7901,"published_at":7902,"question":68,"scraped_at":7902,"seo":7903,"sitemap":7904,"source_id":7905,"source_name":89,"source_type":90,"source_url":7897,"stem":7906,"tags":7907,"thumbnail_url":68,"tldr":7908,"tweet":68,"unknown_tags":7909,"__hash__":7910},"summaries\u002Fsummaries\u002F4ae8c61ab48aeca1-implicit-rule-induction-via-test-time-task-embeddi-summary.md","Implicit Rule Induction via Test-Time Task Embeddings",{"provider":7,"model":8,"input_tokens":7858,"output_tokens":7859,"processing_time_ms":7860,"cost_usd":7861},4025,553,3056,0.00183575,{"type":14,"value":7863,"toc":7885},[7864,7868,7871,7875,7878,7882],[17,7865,7867],{"id":7866},"the-challenge-of-abstract-reasoning","The Challenge of Abstract Reasoning",[22,7869,7870],{},"ARC-like tasks (Abstraction and Reasoning Corpus) represent a significant hurdle for current AI because they require inductive reasoning—inferring a general transformation rule from a handful of input-output examples. Traditional approaches often struggle with the combinatorial explosion of potential rules or the inability to generalize to unseen logic. This paper proposes a shift from explicit rule-based search to a latent representation approach, using test-time task embeddings to guide model inference.",[17,7872,7874],{"id":7873},"test-time-task-embeddings-as-implicit-logic","Test-Time Task Embeddings as Implicit Logic",[22,7876,7877],{},"Instead of attempting to hard-code or explicitly prompt for the logic behind a transformation, the authors propose a mechanism to encode the task's structure into a latent embedding at test time. By processing the provided input-output pairs, the model constructs a task-specific vector that acts as a \"compressed representation\" of the underlying rule. This embedding then conditions the model's generation process, effectively steering the transformer toward the correct output for the test input. This approach treats rule induction as a continuous optimization problem in latent space rather than a discrete search problem in symbolic space.",[17,7879,7881],{"id":7880},"generalization-through-latent-conditioning","Generalization Through Latent Conditioning",[22,7883,7884],{},"By leveraging these embeddings, the model demonstrates improved performance on tasks requiring geometric transformations, color mapping, and object manipulation. The primary advantage of this method is its ability to handle \"implicit\" rules—patterns that are difficult to describe linguistically but easy to demonstrate through examples. The model learns to map the relationship between input-output pairs into a task-specific embedding, which then serves as a contextual anchor for solving the final test case. This reduces the reliance on massive pre-training for every specific task type and allows for more robust zero-shot or few-shot adaptation to novel, unseen reasoning puzzles.",{"title":60,"searchDepth":61,"depth":61,"links":7886},[7887,7888,7889],{"id":7866,"depth":61,"text":7867},{"id":7873,"depth":61,"text":7874},{"id":7880,"depth":61,"text":7881},[67],{"content_references":7892,"triage":7898},[7893],{"type":74,"title":7894,"author":7895,"publisher":7896,"url":7897,"context":77},"Implicit Rule Induction with Test-Time Task Embeddings in ARC-like Tasks","Unknown","arXiv","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.21181",{"relevance":80,"novelty":79,"quality":79,"actionability":61,"composite":7899,"reasoning":7900},3.25,"Category: AI & LLMs. The article discusses a novel approach to improving AI's performance on reasoning tasks, which is relevant to AI engineering. However, it lacks direct practical applications for product builders, focusing more on theoretical advancements in model training.","\u002Fsummaries\u002F4ae8c61ab48aeca1-implicit-rule-induction-via-test-time-task-embeddi-summary","2026-09-22 03:27:14",{"title":7856,"description":60},{"loc":7901},"4ae8c61ab48aeca1","summaries\u002F4ae8c61ab48aeca1-implicit-rule-induction-via-test-time-task-embeddi-summary",[94,93,95],"This paper introduces a method for solving ARC-like reasoning tasks by generating test-time task embeddings that implicitly capture underlying transformation rules, enabling models to generalize to novel patterns without explicit rule programming.",[95],"Svsr-8BvaxUedo21xHSI-0tfoczaSju4WzzNbwJqjFY",{"id":7912,"title":7913,"ai":7914,"body":7919,"categories":7968,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":7969,"navigation":83,"path":7977,"published_at":7902,"question":68,"scraped_at":7902,"seo":7978,"sitemap":7979,"source_id":7980,"source_name":89,"source_type":90,"source_url":7973,"stem":7981,"tags":7982,"thumbnail_url":68,"tldr":7983,"tweet":68,"unknown_tags":7984,"__hash__":7985},"summaries\u002Fsummaries\u002Fc0f17d661b0876e1-clinician-grounded-qa-for-ai-assisted-psychiatric--summary.md","Clinician-Grounded QA for AI-Assisted Psychiatric Intake",{"provider":7,"model":8,"input_tokens":7915,"output_tokens":7916,"processing_time_ms":7917,"cost_usd":7918},4045,576,3202,0.00187525,{"type":14,"value":7920,"toc":7963},[7921,7925,7928,7932,7935,7956,7960],[17,7922,7924],{"id":7923},"establishing-clinical-grounding-for-ai","Establishing Clinical Grounding for AI",[22,7926,7927],{},"The research addresses the critical challenge of deploying AI in high-stakes psychiatric intake processes. Rather than relying on generic model performance metrics, the authors propose a 'clinician-grounded' quality assurance (QA) framework. This approach shifts the focus from raw model accuracy to clinical utility and safety, ensuring that AI-generated summaries and intake notes align with established psychiatric diagnostic criteria and documentation standards.",[17,7929,7931],{"id":7930},"quality-assurance-framework","Quality Assurance Framework",[22,7933,7934],{},"The framework emphasizes three core pillars for evaluating AI performance in clinical settings:",[7936,7937,7938,7944,7950],"ol",{},[33,7939,7940,7943],{},[36,7941,7942],{},"Clinical Fidelity",": Ensuring that the AI's interpretation of patient dialogue does not hallucinate symptoms or misrepresent the patient's reported history. The QA process involves cross-referencing AI outputs against structured clinical rubrics.",[33,7945,7946,7949],{},[36,7947,7948],{},"Safety and Risk Mitigation",": Implementing automated guardrails that flag potential discrepancies or high-risk indicators (e.g., suicidal ideation or self-harm) for immediate human review. The system is designed to prioritize human-in-the-loop verification for any content that could alter a treatment plan.",[33,7951,7952,7955],{},[36,7953,7954],{},"Interpretability and Transparency",": Providing clinicians with clear provenance for AI-generated insights. By linking specific intake notes back to the source transcript, the system allows clinicians to verify the AI's reasoning, reducing the 'black box' risk inherent in LLM deployments.",[17,7957,7959],{"id":7958},"practical-implications-for-ai-deployment","Practical Implications for AI Deployment",[22,7961,7962],{},"The authors argue that for AI to be viable in psychiatric intake, it must function as a decision-support tool rather than an autonomous agent. The QA framework acts as a bridge between technical model performance and clinical reliability. By integrating these validation steps, healthcare organizations can mitigate the risks of bias and inaccuracy, ultimately fostering trust between the AI system and the clinical staff. The research highlights that successful implementation requires iterative feedback loops where clinicians continuously refine the QA criteria based on real-world performance.",{"title":60,"searchDepth":61,"depth":61,"links":7964},[7965,7966,7967],{"id":7923,"depth":61,"text":7924},{"id":7930,"depth":61,"text":7931},{"id":7958,"depth":61,"text":7959},[67],{"content_references":7970,"triage":7974},[7971],{"type":74,"title":7972,"url":7973,"context":7840},"Clinician-Grounded Quality Assurance for AI-Assisted Psychiatric Intake","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.21149",{"relevance":80,"novelty":79,"quality":79,"actionability":80,"composite":7975,"reasoning":7976},3.45,"Category: AI & LLMs. The article presents a novel QA framework for AI in psychiatric intake, addressing a specific pain point of ensuring clinical utility and safety in AI applications. While it offers valuable insights, the practical application for product builders is somewhat limited without specific implementation steps.","\u002Fsummaries\u002Fc0f17d661b0876e1-clinician-grounded-qa-for-ai-assisted-psychiatric-summary",{"title":7913,"description":60},{"loc":7977},"c0f17d661b0876e1","summaries\u002Fc0f17d661b0876e1-clinician-grounded-qa-for-ai-assisted-psychiatric--summary",[93,94,95],"This research proposes a framework for quality assurance in AI-assisted psychiatric intake by grounding AI outputs in clinical standards, ensuring safety and accuracy in sensitive mental health assessments.",[95],"Y_QIc2yFti5lXtbpgYNXxujrk-TuD80xoz7AygoFa9o",{"id":7987,"title":7988,"ai":7989,"body":7994,"categories":8020,"created_at":68,"date_modified":68,"description":60,"extension":69,"faq":68,"featured":70,"kicker_label":68,"meta":8021,"navigation":83,"path":8030,"published_at":8031,"question":68,"scraped_at":8031,"seo":8032,"sitemap":8033,"source_id":8034,"source_name":89,"source_type":90,"source_url":8025,"stem":8035,"tags":8036,"thumbnail_url":68,"tldr":8037,"tweet":68,"unknown_tags":8038,"__hash__":8039},"summaries\u002Fsummaries\u002F142f4e3c8cb6a833-self-improvement-via-fast-tree-search-summary.md","Self-Improvement via Fast Tree-Search",{"provider":7,"model":8,"input_tokens":7990,"output_tokens":7991,"processing_time_ms":7992,"cost_usd":7993},4009,500,2997,0.00175225,{"type":14,"value":7995,"toc":8015},[7996,8000,8003,8007,8010,8012],[17,7997,7999],{"id":7998},"enhancing-reasoning-through-iterative-tree-search","Enhancing Reasoning through Iterative Tree-Search",[22,8001,8002],{},"The core premise of the research is that LLMs can achieve significant performance gains by moving beyond single-pass inference. By employing fast tree-search algorithms, the system allows the model to explore multiple reasoning paths, evaluate potential outcomes, and select the most promising trajectory. This approach effectively treats the generation process as a search problem, where the model can 'think' through complex tasks by branching out and backtracking when a path proves suboptimal.",[17,8004,8006],{"id":8005},"mechanisms-for-self-correction-and-optimization","Mechanisms for Self-Correction and Optimization",[22,8008,8009],{},"The paper details how this search-based architecture facilitates self-improvement. By evaluating intermediate steps within the tree, the model can identify errors or logical inconsistencies before they propagate to the final output. This iterative refinement loop allows the model to learn from its own search history, effectively bootstrapping its capabilities. The 'fast' nature of the search is critical, as it balances the computational overhead of exploring multiple paths with the need for low-latency responses, making it a viable strategy for production-grade AI applications.",[17,8011,55],{"id":54},[22,8013,8014],{},"This methodology shifts the focus from purely scaling model parameters to optimizing the inference-time compute. By leveraging tree-search, developers can extract higher-quality reasoning from existing models without requiring full retraining. The findings suggest that the integration of structured search algorithms is a robust way to mitigate common LLM failure modes, such as hallucination and logical drift, by forcing the model to verify its reasoning steps against a defined search objective.",{"title":60,"searchDepth":61,"depth":61,"links":8016},[8017,8018,8019],{"id":7998,"depth":61,"text":7999},{"id":8005,"depth":61,"text":8006},{"id":54,"depth":61,"text":55},[67],{"content_references":8022,"triage":8026},[8023],{"type":74,"title":8024,"author":7895,"url":8025,"context":7840},"Self Improvement via Fast Tree-search","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.19526",{"relevance":8027,"novelty":79,"quality":79,"actionability":80,"composite":8028,"reasoning":8029},5,4.15,"Category: AI & LLMs. The article presents a novel methodology for enhancing AI model performance through fast tree-search algorithms, directly addressing the audience's need for practical applications in AI-powered products. It provides insights into improving reasoning and output quality, which is crucial for developers looking to implement advanced AI features.","\u002Fsummaries\u002F142f4e3c8cb6a833-self-improvement-via-fast-tree-search-summary","2026-09-19 03:10:36",{"title":7988,"description":60},{"loc":8030},"142f4e3c8cb6a833","summaries\u002F142f4e3c8cb6a833-self-improvement-via-fast-tree-search-summary",[94,93,95],"The paper presents a methodology for enhancing AI model performance by integrating fast tree-search algorithms, enabling models to iteratively improve their reasoning and output quality through structured exploration.",[95],"k7SkGGwRgAHXesrpjtBEJLM1XQIjzctux0ACVlXSPqQ"]