[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-3c2ca1819c150892-deterministic-math-solvers-for-clinical-llms-summary":3,"summaries-facets-categories":108,"summary-related-3c2ca1819c150892-deterministic-math-solvers-for-clinical-llms-summary":7652},{"id":4,"title":5,"ai":6,"body":13,"categories":75,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":80,"navigation":92,"path":93,"published_at":94,"question":77,"scraped_at":94,"seo":95,"sitemap":96,"source_id":97,"source_name":98,"source_type":99,"source_url":85,"stem":100,"tags":101,"thumbnail_url":77,"tldr":105,"tweet":77,"unknown_tags":106,"__hash__":107},"summaries\u002Fsummaries\u002F3c2ca1819c150892-deterministic-math-solvers-for-clinical-llms-summary.md","Deterministic Math Solvers for Clinical LLMs",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4015,540,3151,0.00181375,{"type":14,"value":15,"toc":68},"minimark",[16,21,25,29,32,61,65],[17,18,20],"h2",{"id":19},"the-reliability-gap-in-clinical-ai","The Reliability Gap in Clinical AI",[22,23,24],"p",{},"Large Language Models (LLMs) frequently struggle with arithmetic precision, a limitation that is unacceptable in clinical environments where dosage calculations or lab result interpretations require 100% accuracy. The core problem is that LLMs are probabilistic engines; they predict the next token rather than executing logical or mathematical operations. This paper argues that for clinical applications, the model should act as an orchestrator rather than a calculator.",[17,26,28],{"id":27},"decoupling-reasoning-from-execution","Decoupling Reasoning from Execution",[22,30,31],{},"The proposed solution involves a deterministic math solver architecture. Instead of asking an LLM to perform complex arithmetic, the system is designed to:",[33,34,35,43,49,55],"ol",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Extract Variables:"," The LLM identifies the relevant clinical data and the mathematical goal from the natural language prompt.",[36,44,45,48],{},[39,46,47],{},"Formalize the Logic:"," The model translates the clinical problem into a structured, symbolic representation (such as a Python script or a formal mathematical expression).",[36,50,51,54],{},[39,52,53],{},"Execute Deterministically:"," The system passes this structured logic to a non-probabilistic, deterministic solver (like a standard Python interpreter or a symbolic math engine) to perform the actual computation.",[36,56,57,60],{},[39,58,59],{},"Synthesize Results:"," The result is returned to the LLM, which then formats the final answer back into natural language for the clinician.",[17,62,64],{"id":63},"impact-on-clinical-safety","Impact on Clinical Safety",[22,66,67],{},"By enforcing this separation, the system eliminates \"hallucinated math.\" The deterministic layer ensures that the underlying calculation is reproducible and verifiable, which is a prerequisite for clinical-grade software. This approach shifts the burden of accuracy from the model's weights to the system's architecture, allowing developers to audit the logic and the computation independently. This is a critical step toward integrating AI into clinical workflows where error rates must be near zero.",{"title":69,"searchDepth":70,"depth":70,"links":71},"",2,[72,73,74],{"id":19,"depth":70,"text":20},{"id":27,"depth":70,"text":28},{"id":63,"depth":70,"text":64},[76],"AI & LLMs",null,"md",false,{"content_references":81,"triage":87},[82],{"type":83,"title":84,"url":85,"context":86},"paper","Towards a Deterministic Math Solver for Clinical Language Models","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.10728","reviewed",{"relevance":88,"novelty":88,"quality":88,"actionability":89,"composite":90,"reasoning":91},4,3,3.8,"Category: AI & LLMs. The article discusses a novel architecture for improving the reliability of LLMs in clinical settings, addressing a specific pain point of accuracy in high-stakes environments. It provides a structured approach to separating reasoning from execution, which could be actionable for developers looking to implement similar solutions.",true,"\u002Fsummaries\u002F3c2ca1819c150892-deterministic-math-solvers-for-clinical-llms-summary","2026-09-13 03:09:04",{"title":5,"description":69},{"loc":93},"3c2ca1819c150892","arXiv cs.AI","article","summaries\u002F3c2ca1819c150892-deterministic-math-solvers-for-clinical-llms-summary",[102,103,104],"llm","ai-tools","research","To address the unreliability of LLMs in clinical settings, this paper proposes a deterministic math solver architecture that separates reasoning from calculation, ensuring accuracy in high-stakes medical computations.",[],"9IZxWzYEjsTXtAfgyw_ooEiI4jX_iXHRhQlriULQnIo",[109,111,114,116,119,121,124,127,129,131,133,135,138,141,143,145,147,149,152,154,156,158,160,163,165,167,169,171,173,175,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,209,211,213,215,218,220,222,224,226,228,230,232,234,236,238,240,242,244,246,248,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,281,283,285,287,289,291,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,400,402,404,406,408,410,412,414,416,418,420,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,456,458,460,462,464,466,468,470,472,474,476,478,480,482,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,547,549,551,554,556,558,561,563,565,567,569,571,573,575,577,579,581,583,585,587,589,591,593,595,597,600,602,604,606,608,610,612,614,616,618,620,622,624,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,857,859,861,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,934,936,938,940,942,945,947,949,951,953,955,957,959,961,963,965,967,969,971,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1711,1713,1715,1717,1719,1721,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2175,2177,2179,2181,2183,2185,2187,2189,2191,2193,2195,2197,2199,2201,2203,2205,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2347,2349,2351,2353,2355,2357,2359,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3045,3047,3049,3051,3053,3055,3057,3059,3061,3063,3065,3067,3069,3071,3073,3075,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5220,5222,5224,5226,5228,5230,5232,5234,5236,5238,5240,5242,5244,5246,5248,5250,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694,6696,6698,6700,6702,6704,6706,6708,6710,6712,6714,6716,6718,6720,6722,6724,6726,6728,6730,6732,6734,6736,6738,6740,6742,6744,6746,6748,6750,6752,6754,6756,6758,6760,6762,6764,6766,6768,6770,6772,6774,6776,6778,6780,6782,6784,6786,6788,6790,6792,6794,6796,6798,6800,6802,6804,6806,6808,6810,6812,6814,6816,6818,6820,6822,6824,6826,6828,6830,6832,6834,6836,6838,6840,6842,6844,6846,6848,6850,6852,6854,6856,6858,6860,6862,6864,6866,6868,6870,6872,6874,6876,6878,6880,6882,6884,6886,6888,6890,6892,6894,6896,6898,6900,6902,6904,6906,6908,6910,6912,6914,6916,6918,6920,6922,6924,6926,6928,6930,6932,6934,6936,6938,6940,6942,6944,6946,6948,6950,6952,6954,6956,6958,6960,6962,6964,6966,6968,6970,6972,6974,6976,6978,6980,6982,6984,6986,6988,6990,6992,6994,6996,6998,7000,7002,7004,7006,7008,7010,7012,7014,7016,7018,7020,7022,7024,7026,7028,7030,7032,7034,7036,7038,7040,7042,7044,7046,7048,7050,7052,7054,7056,7058,7060,7062,7064,7066,7068,7070,7072,7074,7076,7078,7080,7082,7084,7086,7088,7090,7092,7094,7096,7098,7100,7102,7104,7106,7108,7110,7112,7114,7116,7118,7120,7122,7124,7126,7128,7130,7132,7134,7136,7138,7140,7142,7144,7146,7148,7150,7152,7154,7156,7158,7160,7162,7164,7166,7168,7170,7172,7174,7176,7178,7180,7182,7184,7186,7188,7190,7192,7194,7196,7198,7200,7202,7204,7206,7208,7210,7212,7214,7216,7218,7220,7222,7224,7226,7228,7230,7232,7234,7236,7238,7240,7242,7244,7246,7248,7250,7252,7254,7256,7258,7260,7262,7264,7266,7268,7270,7272,7274,7276,7278,7280,7282,7284,7286,7288,7290,7292,7294,7296,7298,7300,7302,7304,7306,7308,7310,7312,7314,7316,7318,7320,7322,7324,7326,7328,7330,7332,7334,7336,7338,7340,7342,7344,7346,7348,7350,7352,7354,7356,7358,7360,7362,7364,7366,7368,7370,7372,7374,7376,7378,7380,7382,7384,7386,7388,7390,7392,7394,7396,7398,7400,7402,7404,7406,7408,7410,7412,7414,7416,7418,7420,7422,7424,7426,7428,7430,7432,7434,7436,7438,7440,7442,7444,7446,7448,7450,7452,7454,7456,7458,7460,7462,7464,7466,7468,7470,7472,7474,7476,7478,7480,7482,7484,7486,7488,7490,7492,7494,7496,7498,7500,7502,7504,7506,7508,7510,7512,7514,7516,7518,7520,7522,7524,7526,7528,7530,7532,7534,7536,7538,7540,7542,7544,7546,7548,7550,7552,7554,7556,7558,7560,7562,7564,7566,7568,7570,7572,7574,7576,7578,7580,7582,7584,7586,7588,7590,7592,7594,7596,7598,7600,7602,7604,7606,7608,7610,7612,7614,7616,7618,7620,7622,7624,7626,7628,7630,7632,7634,7636,7638,7640,7642,7644,7646,7648,7650],{"categories":110},[76],{"categories":112},[113],"Developer Productivity",{"categories":115},[76],{"categories":117},[118],"Business & SaaS",{"categories":120},[76],{"categories":122},[123],"AI Automation",{"categories":125},[126],"Product Strategy",{"categories":128},[123],{"categories":130},[76],{"categories":132},[113],{"categories":134},[123],{"categories":136},[137],"Software Engineering",{"categories":139},[140],"Data Science & Visualization",{"categories":142},[76],{"categories":144},[118],{"categories":146},[],{"categories":148},[76],{"categories":150},[151],"Inference & Serving",{"categories":153},[76],{"categories":155},[76],{"categories":157},[123],{"categories":159},[],{"categories":161},[162],"AI News & Trends",{"categories":164},[140],{"categories":166},[123],{"categories":168},[76],{"categories":170},[76],{"categories":172},[76],{"categories":174},[118],{"categories":176},[113],{"categories":178},[76],{"categories":180},[123],{"categories":182},[162],{"categories":184},[76],{"categories":186},[123],{"categories":188},[123],{"categories":190},[76],{"categories":192},[76],{"categories":194},[123],{"categories":196},[76],{"categories":198},[76],{"categories":200},[76],{"categories":202},[118],{"categories":204},[123],{"categories":206},[162],{"categories":208},[76],{"categories":210},[76],{"categories":212},[76],{"categories":214},[],{"categories":216},[217],"Design & Frontend",{"categories":219},[76],{"categories":221},[140],{"categories":223},[76],{"categories":225},[162],{"categories":227},[76],{"categories":229},[76],{"categories":231},[76],{"categories":233},[],{"categories":235},[76],{"categories":237},[76],{"categories":239},[123],{"categories":241},[137],{"categories":243},[76],{"categories":245},[123],{"categories":247},[76],{"categories":249},[250],"Marketing & Growth",{"categories":252},[217],{"categories":254},[76],{"categories":256},[123],{"categories":258},[76],{"categories":260},[76],{"categories":262},[137],{"categories":264},[76],{"categories":266},[],{"categories":268},[],{"categories":270},[217],{"categories":272},[76],{"categories":274},[123],{"categories":276},[113],{"categories":278},[137],{"categories":280},[123],{"categories":282},[217],{"categories":284},[76],{"categories":286},[126],{"categories":288},[76],{"categories":290},[137],{"categories":292},[293],"DevOps & Cloud",{"categories":295},[123],{"categories":297},[126],{"categories":299},[162],{"categories":301},[76],{"categories":303},[],{"categories":305},[76],{"categories":307},[76],{"categories":309},[76],{"categories":311},[],{"categories":313},[123],{"categories":315},[137],{"categories":317},[],{"categories":319},[137],{"categories":321},[123],{"categories":323},[76],{"categories":325},[217],{"categories":327},[328],"Governance & Standards",{"categories":330},[118],{"categories":332},[],{"categories":334},[76],{"categories":336},[],{"categories":338},[76],{"categories":340},[76],{"categories":342},[123],{"categories":344},[123],{"categories":346},[76],{"categories":348},[76],{"categories":350},[123],{"categories":352},[76],{"categories":354},[76],{"categories":356},[76],{"categories":358},[],{"categories":360},[137],{"categories":362},[],{"categories":364},[],{"categories":366},[76],{"categories":368},[137],{"categories":370},[],{"categories":372},[137],{"categories":374},[76],{"categories":376},[123],{"categories":378},[76],{"categories":380},[250],{"categories":382},[76],{"categories":384},[76],{"categories":386},[76],{"categories":388},[217],{"categories":390},[217],{"categories":392},[76],{"categories":394},[137],{"categories":396},[123],{"categories":398},[399],"GovTech & Public-Sector Adoption",{"categories":401},[137],{"categories":403},[76],{"categories":405},[76],{"categories":407},[76],{"categories":409},[123],{"categories":411},[123],{"categories":413},[140],{"categories":415},[76],{"categories":417},[162],{"categories":419},[123],{"categories":421},[422],"Legal AI Tools",{"categories":424},[76],{"categories":426},[123],{"categories":428},[76],{"categories":430},[250],{"categories":432},[123],{"categories":434},[126],{"categories":436},[76],{"categories":438},[137],{"categories":440},[399],{"categories":442},[],{"categories":444},[123],{"categories":446},[],{"categories":448},[118],{"categories":450},[123],{"categories":452},[123],{"categories":454},[455],"RAG & Retrieval",{"categories":457},[118],{"categories":459},[76],{"categories":461},[137],{"categories":463},[137],{"categories":465},[293],{"categories":467},[217],{"categories":469},[123],{"categories":471},[76],{"categories":473},[76],{"categories":475},[76],{"categories":477},[76],{"categories":479},[],{"categories":481},[123],{"categories":483},[484],"Agents & Orchestration",{"categories":486},[137],{"categories":488},[76],{"categories":490},[],{"categories":492},[123],{"categories":494},[118],{"categories":496},[],{"categories":498},[76],{"categories":500},[],{"categories":502},[76],{"categories":504},[113],{"categories":506},[137],{"categories":508},[118],{"categories":510},[76],{"categories":512},[76],{"categories":514},[76],{"categories":516},[123],{"categories":518},[76],{"categories":520},[76],{"categories":522},[162],{"categories":524},[76],{"categories":526},[],{"categories":528},[76],{"categories":530},[76],{"categories":532},[],{"categories":534},[76],{"categories":536},[137],{"categories":538},[76],{"categories":540},[123],{"categories":542},[140],{"categories":544},[],{"categories":546},[76],{"categories":548},[76],{"categories":550},[217],{"categories":552},[553],"Models & Frontier Labs",{"categories":555},[],{"categories":557},[217],{"categories":559},[560],"Regulation & Governance of AI",{"categories":562},[126],{"categories":564},[123],{"categories":566},[],{"categories":568},[76],{"categories":570},[76],{"categories":572},[123],{"categories":574},[123],{"categories":576},[162],{"categories":578},[76],{"categories":580},[118],{"categories":582},[76],{"categories":584},[123],{"categories":586},[],{"categories":588},[137],{"categories":590},[123],{"categories":592},[76],{"categories":594},[126],{"categories":596},[76],{"categories":598},[599],"AI Policy & Regulation",{"categories":601},[],{"categories":603},[76],{"categories":605},[123],{"categories":607},[123],{"categories":609},[126],{"categories":611},[123],{"categories":613},[76],{"categories":615},[76],{"categories":617},[76],{"categories":619},[123],{"categories":621},[],{"categories":623},[140],{"categories":625},[626],"Evals & Reliability",{"categories":628},[76],{"categories":630},[76],{"categories":632},[],{"categories":634},[140],{"categories":636},[113],{"categories":638},[399],{"categories":640},[599],{"categories":642},[76],{"categories":644},[76],{"categories":646},[118],{"categories":648},[76],{"categories":650},[123],{"categories":652},[76],{"categories":654},[123],{"categories":656},[484],{"categories":658},[76],{"categories":660},[137],{"categories":662},[76],{"categories":664},[76],{"categories":666},[],{"categories":668},[217],{"categories":670},[],{"categories":672},[76],{"categories":674},[399],{"categories":676},[76],{"categories":678},[76],{"categories":680},[76],{"categories":682},[],{"categories":684},[76],{"categories":686},[217],{"categories":688},[137],{"categories":690},[],{"categories":692},[76],{"categories":694},[],{"categories":696},[123],{"categories":698},[76],{"categories":700},[217],{"categories":702},[],{"categories":704},[76],{"categories":706},[76],{"categories":708},[140],{"categories":710},[123],{"categories":712},[76],{"categories":714},[118],{"categories":716},[123],{"categories":718},[76],{"categories":720},[76],{"categories":722},[137],{"categories":724},[217],{"categories":726},[76],{"categories":728},[123],{"categories":730},[],{"categories":732},[137],{"categories":734},[123],{"categories":736},[140],{"categories":738},[],{"categories":740},[76],{"categories":742},[162],{"categories":744},[76],{"categories":746},[],{"categories":748},[76],{"categories":750},[76],{"categories":752},[76],{"categories":754},[118,250],{"categories":756},[],{"categories":758},[137],{"categories":760},[76],{"categories":762},[76],{"categories":764},[123],{"categories":766},[76],{"categories":768},[76],{"categories":770},[],{"categories":772},[],{"categories":774},[76],{"categories":776},[76],{"categories":778},[217],{"categories":780},[76],{"categories":782},[],{"categories":784},[76],{"categories":786},[293],{"categories":788},[],{"categories":790},[123],{"categories":792},[162],{"categories":794},[76],{"categories":796},[118],{"categories":798},[76],{"categories":800},[137],{"categories":802},[217],{"categories":804},[],{"categories":806},[76],{"categories":808},[162],{"categories":810},[76],{"categories":812},[151],{"categories":814},[76],{"categories":816},[76],{"categories":818},[123],{"categories":820},[162],{"categories":822},[553],{"categories":824},[76],{"categories":826},[250],{"categories":828},[],{"categories":830},[123],{"categories":832},[118],{"categories":834},[137],{"categories":836},[76],{"categories":838},[123],{"categories":840},[],{"categories":842},[76,293],{"categories":844},[76],{"categories":846},[76],{"categories":848},[76],{"categories":850},[123],{"categories":852},[76,137],{"categories":854},[140],{"categories":856},[76],{"categories":858},[76],{"categories":860},[76],{"categories":862},[137],{"categories":864},[76],{"categories":866},[123],{"categories":868},[123],{"categories":870},[599],{"categories":872},[250],{"categories":874},[76],{"categories":876},[123],{"categories":878},[76],{"categories":880},[76],{"categories":882},[123],{"categories":884},[],{"categories":886},[123],{"categories":888},[76],{"categories":890},[76],{"categories":892},[123],{"categories":894},[76],{"categories":896},[76,118],{"categories":898},[76],{"categories":900},[76],{"categories":902},[118],{"categories":904},[],{"categories":906},[217],{"categories":908},[217],{"categories":910},[76],{"categories":912},[],{"categories":914},[],{"categories":916},[76],{"categories":918},[162],{"categories":920},[],{"categories":922},[113],{"categories":924},[76],{"categories":926},[137],{"categories":928},[123],{"categories":930},[76],{"categories":932},[933],"Generative UI & Design-to-Code",{"categories":935},[76],{"categories":937},[76],{"categories":939},[217],{"categories":941},[76],{"categories":943},[944],"Algorithmic Accountability",{"categories":946},[123],{"categories":948},[137],{"categories":950},[162],{"categories":952},[217],{"categories":954},[76],{"categories":956},[],{"categories":958},[126],{"categories":960},[76],{"categories":962},[76],{"categories":964},[76],{"categories":966},[76],{"categories":968},[76],{"categories":970},[123],{"categories":972},[973],"MLOps & Infrastructure",{"categories":975},[76],{"categories":977},[76],{"categories":979},[76],{"categories":981},[76],{"categories":983},[76],{"categories":985},[137],{"categories":987},[162],{"categories":989},[76],{"categories":991},[76],{"categories":993},[126],{"categories":995},[113],{"categories":997},[76],{"categories":999},[123],{"categories":1001},[293],{"categories":1003},[76],{"categories":1005},[118],{"categories":1007},[76],{"categories":1009},[217],{"categories":1011},[76],{"categories":1013},[126],{"categories":1015},[76],{"categories":1017},[123],{"categories":1019},[],{"categories":1021},[],{"categories":1023},[76],{"categories":1025},[151],{"categories":1027},[217],{"categories":1029},[162],{"categories":1031},[140],{"categories":1033},[],{"categories":1035},[76],{"categories":1037},[76],{"categories":1039},[118],{"categories":1041},[123],{"categories":1043},[76],{"categories":1045},[76],{"categories":1047},[76],{"categories":1049},[76],{"categories":1051},[76],{"categories":1053},[162],{"categories":1055},[151],{"categories":1057},[76],{"categories":1059},[217],{"categories":1061},[76],{"categories":1063},[],{"categories":1065},[123],{"categories":1067},[137],{"categories":1069},[],{"categories":1071},[76],{"categories":1073},[76],{"categories":1075},[123],{"categories":1077},[137],{"categories":1079},[76],{"categories":1081},[140],{"categories":1083},[217],{"categories":1085},[],{"categories":1087},[76],{"categories":1089},[],{"categories":1091},[76],{"categories":1093},[],{"categories":1095},[76],{"categories":1097},[76],{"categories":1099},[126],{"categories":1101},[118],{"categories":1103},[123],{"categories":1105},[123],{"categories":1107},[137],{"categories":1109},[],{"categories":1111},[76],{"categories":1113},[113],{"categories":1115},[76],{"categories":1117},[76],{"categories":1119},[118],{"categories":1121},[162],{"categories":1123},[113],{"categories":1125},[],{"categories":1127},[76],{"categories":1129},[],{"categories":1131},[76],{"categories":1133},[],{"categories":1135},[76],{"categories":1137},[162],{"categories":1139},[162],{"categories":1141},[],{"categories":1143},[484],{"categories":1145},[76],{"categories":1147},[217],{"categories":1149},[137],{"categories":1151},[],{"categories":1153},[422],{"categories":1155},[123],{"categories":1157},[123],{"categories":1159},[118],{"categories":1161},[76],{"categories":1163},[],{"categories":1165},[],{"categories":1167},[113],{"categories":1169},[140],{"categories":1171},[],{"categories":1173},[250],{"categories":1175},[123],{"categories":1177},[118],{"categories":1179},[123],{"categories":1181},[76],{"categories":1183},[118],{"categories":1185},[76],{"categories":1187},[137],{"categories":1189},[],{"categories":1191},[151],{"categories":1193},[126],{"categories":1195},[76],{"categories":1197},[217],{"categories":1199},[137],{"categories":1201},[118],{"categories":1203},[76],{"categories":1205},[137],{"categories":1207},[76],{"categories":1209},[123],{"categories":1211},[118],{"categories":1213},[76],{"categories":1215},[76],{"categories":1217},[76],{"categories":1219},[76],{"categories":1221},[76],{"categories":1223},[76],{"categories":1225},[],{"categories":1227},[],{"categories":1229},[137],{"categories":1231},[140],{"categories":1233},[126],{"categories":1235},[76],{"categories":1237},[123],{"categories":1239},[137],{"categories":1241},[137],{"categories":1243},[76],{"categories":1245},[],{"categories":1247},[76],{"categories":1249},[162],{"categories":1251},[126],{"categories":1253},[126],{"categories":1255},[137],{"categories":1257},[76],{"categories":1259},[626],{"categories":1261},[293],{"categories":1263},[],{"categories":1265},[123],{"categories":1267},[76],{"categories":1269},[113],{"categories":1271},[],{"categories":1273},[113],{"categories":1275},[],{"categories":1277},[76],{"categories":1279},[76],{"categories":1281},[76],{"categories":1283},[217],{"categories":1285},[250],{"categories":1287},[126],{"categories":1289},[76],{"categories":1291},[137],{"categories":1293},[76],{"categories":1295},[123],{"categories":1297},[],{"categories":1299},[137],{"categories":1301},[76],{"categories":1303},[113],{"categories":1305},[],{"categories":1307},[118],{"categories":1309},[76],{"categories":1311},[76],{"categories":1313},[162],{"categories":1315},[76,293],{"categories":1317},[76],{"categories":1319},[1320],"Design Systems for AI",{"categories":1322},[76],{"categories":1324},[76],{"categories":1326},[162],{"categories":1328},[76],{"categories":1330},[76],{"categories":1332},[76],{"categories":1334},[118],{"categories":1336},[76],{"categories":1338},[76],{"categories":1340},[76],{"categories":1342},[],{"categories":1344},[76],{"categories":1346},[76],{"categories":1348},[118],{"categories":1350},[76],{"categories":1352},[],{"categories":1354},[123],{"categories":1356},[123],{"categories":1358},[137],{"categories":1360},[76],{"categories":1362},[162],{"categories":1364},[137],{"categories":1366},[76],{"categories":1368},[217],{"categories":1370},[162],{"categories":1372},[140],{"categories":1374},[76],{"categories":1376},[76],{"categories":1378},[76],{"categories":1380},[76],{"categories":1382},[123],{"categories":1384},[113],{"categories":1386},[599],{"categories":1388},[76],{"categories":1390},[76],{"categories":1392},[123],{"categories":1394},[76],{"categories":1396},[137],{"categories":1398},[76],{"categories":1400},[137],{"categories":1402},[],{"categories":1404},[217],{"categories":1406},[],{"categories":1408},[76],{"categories":1410},[123],{"categories":1412},[126],{"categories":1414},[],{"categories":1416},[118],{"categories":1418},[76],{"categories":1420},[],{"categories":1422},[217],{"categories":1424},[137],{"categories":1426},[123],{"categories":1428},[137],{"categories":1430},[76],{"categories":1432},[217],{"categories":1434},[76],{"categories":1436},[137],{"categories":1438},[76],{"categories":1440},[76],{"categories":1442},[217],{"categories":1444},[],{"categories":1446},[],{"categories":1448},[162],{"categories":1450},[123],{"categories":1452},[123],{"categories":1454},[123],{"categories":1456},[76],{"categories":1458},[76],{"categories":1460},[76],{"categories":1462},[76],{"categories":1464},[76],{"categories":1466},[76],{"categories":1468},[118],{"categories":1470},[126],{"categories":1472},[76],{"categories":1474},[76],{"categories":1476},[],{"categories":1478},[137],{"categories":1480},[137],{"categories":1482},[76],{"categories":1484},[137],{"categories":1486},[118],{"categories":1488},[],{"categories":1490},[76],{"categories":1492},[76],{"categories":1494},[217],{"categories":1496},[76],{"categories":1498},[76],{"categories":1500},[76],{"categories":1502},[123],{"categories":1504},[113],{"categories":1506},[118],{"categories":1508},[76],{"categories":1510},[123],{"categories":1512},[162],{"categories":1514},[123],{"categories":1516},[151],{"categories":1518},[250],{"categories":1520},[76],{"categories":1522},[123],{"categories":1524},[76],{"categories":1526},[76],{"categories":1528},[76],{"categories":1530},[],{"categories":1532},[217],{"categories":1534},[],{"categories":1536},[76],{"categories":1538},[76],{"categories":1540},[],{"categories":1542},[76],{"categories":1544},[137],{"categories":1546},[118],{"categories":1548},[1549],"Visual & Generative Media",{"categories":1551},[123],{"categories":1553},[],{"categories":1555},[76],{"categories":1557},[76],{"categories":1559},[137],{"categories":1561},[76],{"categories":1563},[293],{"categories":1565},[76],{"categories":1567},[140],{"categories":1569},[599],{"categories":1571},[137],{"categories":1573},[250],{"categories":1575},[76],{"categories":1577},[126],{"categories":1579},[217],{"categories":1581},[76],{"categories":1583},[76],{"categories":1585},[137],{"categories":1587},[123],{"categories":1589},[76],{"categories":1591},[],{"categories":1593},[],{"categories":1595},[123],{"categories":1597},[137],{"categories":1599},[113],{"categories":1601},[123],{"categories":1603},[553],{"categories":1605},[76],{"categories":1607},[126],{"categories":1609},[76],{"categories":1611},[118],{"categories":1613},[],{"categories":1615},[76],{"categories":1617},[126],{"categories":1619},[76],{"categories":1621},[76],{"categories":1623},[76],{"categories":1625},[126],{"categories":1627},[76],{"categories":1629},[76],{"categories":1631},[250],{"categories":1633},[76],{"categories":1635},[484],{"categories":1637},[137],{"categories":1639},[123],{"categories":1641},[76],{"categories":1643},[123],{"categories":1645},[76],{"categories":1647},[76],{"categories":1649},[123],{"categories":1651},[76],{"categories":1653},[76],{"categories":1655},[76],{"categories":1657},[123],{"categories":1659},[76],{"categories":1661},[217],{"categories":1663},[123],{"categories":1665},[],{"categories":1667},[123],{"categories":1669},[76],{"categories":1671},[],{"categories":1673},[293],{"categories":1675},[137],{"categories":1677},[],{"categories":1679},[553],{"categories":1681},[76],{"categories":1683},[123],{"categories":1685},[123],{"categories":1687},[76],{"categories":1689},[217,76],{"categories":1691},[76],{"categories":1693},[113],{"categories":1695},[76],{"categories":1697},[123],{"categories":1699},[217],{"categories":1701},[],{"categories":1703},[76],{"categories":1705},[113],{"categories":1707},[76],{"categories":1709},[1710],"Medical Imaging & Radiology",{"categories":1712},[76],{"categories":1714},[76],{"categories":1716},[76],{"categories":1718},[217],{"categories":1720},[123],{"categories":1722},[123],{"categories":1724},[137],{"categories":1726},[],{"categories":1728},[76],{"categories":1730},[76],{"categories":1732},[76],{"categories":1734},[],{"categories":1736},[],{"categories":1738},[76],{"categories":1740},[76],{"categories":1742},[484],{"categories":1744},[76],{"categories":1746},[113],{"categories":1748},[76],{"categories":1750},[76],{"categories":1752},[],{"categories":1754},[123],{"categories":1756},[76],{"categories":1758},[126],{"categories":1760},[137],{"categories":1762},[76],{"categories":1764},[123],{"categories":1766},[484],{"categories":1768},[76],{"categories":1770},[123],{"categories":1772},[76],{"categories":1774},[76],{"categories":1776},[76],{"categories":1778},[76],{"categories":1780},[217],{"categories":1782},[123],{"categories":1784},[293],{"categories":1786},[217],{"categories":1788},[118],{"categories":1790},[123],{"categories":1792},[162],{"categories":1794},[76],{"categories":1796},[76],{"categories":1798},[126],{"categories":1800},[76],{"categories":1802},[76],{"categories":1804},[76],{"categories":1806},[76],{"categories":1808},[76],{"categories":1810},[123],{"categories":1812},[76],{"categories":1814},[137],{"categories":1816},[137],{"categories":1818},[76],{"categories":1820},[126],{"categories":1822},[],{"categories":1824},[162],{"categories":1826},[],{"categories":1828},[126],{"categories":1830},[123],{"categories":1832},[76],{"categories":1834},[76],{"categories":1836},[123],{"categories":1838},[76],{"categories":1840},[1320],{"categories":1842},[76],{"categories":1844},[1320],{"categories":1846},[217],{"categories":1848},[76],{"categories":1850},[76],{"categories":1852},[76],{"categories":1854},[123],{"categories":1856},[137],{"categories":1858},[217],{"categories":1860},[123],{"categories":1862},[162],{"categories":1864},[],{"categories":1866},[76],{"categories":1868},[],{"categories":1870},[76],{"categories":1872},[76],{"categories":1874},[123],{"categories":1876},[76],{"categories":1878},[76],{"categories":1880},[76],{"categories":1882},[123],{"categories":1884},[1885],"Contract Review & E-Discovery",{"categories":1887},[76],{"categories":1889},[217],{"categories":1891},[76],{"categories":1893},[113],{"categories":1895},[76],{"categories":1897},[162],{"categories":1899},[76],{"categories":1901},[76],{"categories":1903},[250],{"categories":1905},[137],{"categories":1907},[123],{"categories":1909},[76],{"categories":1911},[76],{"categories":1913},[76],{"categories":1915},[123],{"categories":1917},[123],{"categories":1919},[944],{"categories":1921},[76],{"categories":1923},[76],{"categories":1925},[123],{"categories":1927},[123],{"categories":1929},[76],{"categories":1931},[76],{"categories":1933},[76],{"categories":1935},[123],{"categories":1937},[76],{"categories":1939},[137],{"categories":1941},[76],{"categories":1943},[484],{"categories":1945},[455],{"categories":1947},[76],{"categories":1949},[123],{"categories":1951},[76],{"categories":1953},[1954],"Law-Firm Practice & Adoption",{"categories":1956},[76],{"categories":1958},[123],{"categories":1960},[217],{"categories":1962},[76],{"categories":1964},[76],{"categories":1966},[76],{"categories":1968},[],{"categories":1970},[137],{"categories":1972},[],{"categories":1974},[137],{"categories":1976},[76],{"categories":1978},[],{"categories":1980},[137],{"categories":1982},[123],{"categories":1984},[113],{"categories":1986},[293],{"categories":1988},[76],{"categories":1990},[],{"categories":1992},[76],{"categories":1994},[113],{"categories":1996},[123],{"categories":1998},[118],{"categories":2000},[76],{"categories":2002},[250],{"categories":2004},[76],{"categories":2006},[],{"categories":2008},[118],{"categories":2010},[123],{"categories":2012},[118],{"categories":2014},[],{"categories":2016},[76],{"categories":2018},[126],{"categories":2020},[76],{"categories":2022},[137],{"categories":2024},[],{"categories":2026},[],{"categories":2028},[],{"categories":2030},[],{"categories":2032},[76],{"categories":2034},[126],{"categories":2036},[123],{"categories":2038},[293],{"categories":2040},[76],{"categories":2042},[113],{"categories":2044},[137],{"categories":2046},[76],{"categories":2048},[76],{"categories":2050},[137],{"categories":2052},[126],{"categories":2054},[76],{"categories":2056},[76],{"categories":2058},[76],{"categories":2060},[973],{"categories":2062},[76],{"categories":2064},[137],{"categories":2066},[76],{"categories":2068},[250],{"categories":2070},[137],{"categories":2072},[118],{"categories":2074},[76],{"categories":2076},[76],{"categories":2078},[76],{"categories":2080},[217],{"categories":2082},[76],{"categories":2084},[76],{"categories":2086},[76],{"categories":2088},[76],{"categories":2090},[118],{"categories":2092},[123],{"categories":2094},[76,113],{"categories":2096},[76],{"categories":2098},[484],{"categories":2100},[76],{"categories":2102},[76],{"categories":2104},[137],{"categories":2106},[76],{"categories":2108},[137],{"categories":2110},[217],{"categories":2112},[123],{"categories":2114},[123],{"categories":2116},[137],{"categories":2118},[76],{"categories":2120},[123],{"categories":2122},[76],{"categories":2124},[76],{"categories":2126},[],{"categories":2128},[],{"categories":2130},[76],{"categories":2132},[140],{"categories":2134},[76],{"categories":2136},[76],{"categories":2138},[217],{"categories":2140},[123],{"categories":2142},[],{"categories":2144},[76],{"categories":2146},[76],{"categories":2148},[118],{"categories":2150},[137],{"categories":2152},[140],{"categories":2154},[162],{"categories":2156},[126],{"categories":2158},[217],{"categories":2160},[76],{"categories":2162},[123],{"categories":2164},[76],{"categories":2166},[137],{"categories":2168},[],{"categories":2170},[123],{"categories":2172},[123],{"categories":2174},[76],{"categories":2176},[76],{"categories":2178},[76],{"categories":2180},[76],{"categories":2182},[76],{"categories":2184},[76],{"categories":2186},[],{"categories":2188},[123],{"categories":2190},[76],{"categories":2192},[76],{"categories":2194},[76],{"categories":2196},[],{"categories":2198},[123],{"categories":2200},[123],{"categories":2202},[76],{"categories":2204},[76],{"categories":2206},[118],{"categories":2208},[76],{"categories":2210},[76],{"categories":2212},[],{"categories":2214},[113],{"categories":2216},[76],{"categories":2218},[76],{"categories":2220},[76],{"categories":2222},[217],{"categories":2224},[76],{"categories":2226},[137],{"categories":2228},[76],{"categories":2230},[113],{"categories":2232},[76],{"categories":2234},[137],{"categories":2236},[250],{"categories":2238},[137],{"categories":2240},[123],{"categories":2242},[123],{"categories":2244},[76],{"categories":2246},[76],{"categories":2248},[76,217],{"categories":2250},[76],{"categories":2252},[123],{"categories":2254},[162],{"categories":2256},[76],{"categories":2258},[162],{"categories":2260},[123],{"categories":2262},[217],{"categories":2264},[76],{"categories":2266},[],{"categories":2268},[137],{"categories":2270},[293],{"categories":2272},[217],{"categories":2274},[137],{"categories":2276},[76],{"categories":2278},[126],{"categories":2280},[76],{"categories":2282},[76],{"categories":2284},[123],{"categories":2286},[],{"categories":2288},[],{"categories":2290},[76],{"categories":2292},[],{"categories":2294},[],{"categories":2296},[126],{"categories":2298},[137],{"categories":2300},[76],{"categories":2302},[76],{"categories":2304},[123],{"categories":2306},[76],{"categories":2308},[123],{"categories":2310},[118],{"categories":2312},[123],{"categories":2314},[293],{"categories":2316},[76],{"categories":2318},[76],{"categories":2320},[76],{"categories":2322},[151],{"categories":2324},[76],{"categories":2326},[76],{"categories":2328},[76],{"categories":2330},[76],{"categories":2332},[137],{"categories":2334},[123],{"categories":2336},[76],{"categories":2338},[76],{"categories":2340},[76],{"categories":2342},[137],{"categories":2344},[422],{"categories":2346},[123],{"categories":2348},[944],{"categories":2350},[],{"categories":2352},[123],{"categories":2354},[217],{"categories":2356},[1954],{"categories":2358},[137],{"categories":2360},[],{"categories":2362},[123],{"categories":2364},[],{"categories":2366},[76],{"categories":2368},[123],{"categories":2370},[],{"categories":2372},[],{"categories":2374},[76],{"categories":2376},[76],{"categories":2378},[250],{"categories":2380},[76],{"categories":2382},[250],{"categories":2384},[76],{"categories":2386},[123],{"categories":2388},[76],{"categories":2390},[76],{"categories":2392},[140],{"categories":2394},[76],{"categories":2396},[137],{"categories":2398},[126],{"categories":2400},[],{"categories":2402},[76],{"categories":2404},[76],{"categories":2406},[76],{"categories":2408},[137],{"categories":2410},[76],{"categories":2412},[1885],{"categories":2414},[76],{"categories":2416},[217],{"categories":2418},[217],{"categories":2420},[76],{"categories":2422},[123],{"categories":2424},[113],{"categories":2426},[76],{"categories":2428},[76],{"categories":2430},[76],{"categories":2432},[76],{"categories":2434},[217],{"categories":2436},[217],{"categories":2438},[123],{"categories":2440},[123],{"categories":2442},[123],{"categories":2444},[76],{"categories":2446},[76],{"categories":2448},[76],{"categories":2450},[123],{"categories":2452},[],{"categories":2454},[76],{"categories":2456},[],{"categories":2458},[217],{"categories":2460},[2461],"Interaction & Product Design",{"categories":2463},[76],{"categories":2465},[123],{"categories":2467},[137],{"categories":2469},[328],{"categories":2471},[162],{"categories":2473},[137],{"categories":2475},[76],{"categories":2477},[126],{"categories":2479},[76],{"categories":2481},[76],{"categories":2483},[137],{"categories":2485},[76],{"categories":2487},[113],{"categories":2489},[123],{"categories":2491},[76],{"categories":2493},[],{"categories":2495},[123],{"categories":2497},[123],{"categories":2499},[123],{"categories":2501},[],{"categories":2503},[137],{"categories":2505},[76],{"categories":2507},[123],{"categories":2509},[113],{"categories":2511},[2461],{"categories":2513},[76],{"categories":2515},[113],{"categories":2517},[113],{"categories":2519},[76],{"categories":2521},[],{"categories":2523},[76],{"categories":2525},[123],{"categories":2527},[137],{"categories":2529},[],{"categories":2531},[123],{"categories":2533},[126],{"categories":2535},[162],{"categories":2537},[76],{"categories":2539},[123],{"categories":2541},[76],{"categories":2543},[123],{"categories":2545},[123],{"categories":2547},[76],{"categories":2549},[76],{"categories":2551},[162],{"categories":2553},[140],{"categories":2555},[76],{"categories":2557},[126],{"categories":2559},[137],{"categories":2561},[2562],"Coding Agents & Dev Productivity",{"categories":2564},[162],{"categories":2566},[217],{"categories":2568},[76],{"categories":2570},[76],{"categories":2572},[],{"categories":2574},[76],{"categories":2576},[76],{"categories":2578},[944],{"categories":2580},[],{"categories":2582},[76],{"categories":2584},[76],{"categories":2586},[293],{"categories":2588},[76],{"categories":2590},[162],{"categories":2592},[],{"categories":2594},[],{"categories":2596},[76],{"categories":2598},[],{"categories":2600},[123],{"categories":2602},[76],{"categories":2604},[123],{"categories":2606},[],{"categories":2608},[137],{"categories":2610},[137],{"categories":2612},[76],{"categories":2614},[140],{"categories":2616},[],{"categories":2618},[76],{"categories":2620},[76],{"categories":2622},[76],{"categories":2624},[140],{"categories":2626},[137],{"categories":2628},[123],{"categories":2630},[],{"categories":2632},[],{"categories":2634},[76],{"categories":2636},[76],{"categories":2638},[76],{"categories":2640},[76],{"categories":2642},[123],{"categories":2644},[123],{"categories":2646},[399],{"categories":2648},[137],{"categories":2650},[126],{"categories":2652},[137],{"categories":2654},[123],{"categories":2656},[162],{"categories":2658},[162],{"categories":2660},[123],{"categories":2662},[123],{"categories":2664},[76],{"categories":2666},[113],{"categories":2668},[2461],{"categories":2670},[126],{"categories":2672},[76,293],{"categories":2674},[140],{"categories":2676},[],{"categories":2678},[217],{"categories":2680},[123],{"categories":2682},[137],{"categories":2684},[113],{"categories":2686},[76],{"categories":2688},[123],{"categories":2690},[2691],"The Designer's Role & Craft",{"categories":2693},[217],{"categories":2695},[],{"categories":2697},[123],{"categories":2699},[76],{"categories":2701},[123],{"categories":2703},[123],{"categories":2705},[76],{"categories":2707},[250],{"categories":2709},[76],{"categories":2711},[137],{"categories":2713},[123],{"categories":2715},[76],{"categories":2717},[217],{"categories":2719},[76],{"categories":2721},[],{"categories":2723},[123],{"categories":2725},[217],{"categories":2727},[126],{"categories":2729},[76],{"categories":2731},[123],{"categories":2733},[76],{"categories":2735},[76],{"categories":2737},[76],{"categories":2739},[2740],"AI UX Patterns",{"categories":2742},[123],{"categories":2744},[123],{"categories":2746},[123],{"categories":2748},[76],{"categories":2750},[123],{"categories":2752},[250],{"categories":2754},[140],{"categories":2756},[76],{"categories":2758},[123],{"categories":2760},[76],{"categories":2762},[1320],{"categories":2764},[],{"categories":2766},[250],{"categories":2768},[123],{"categories":2770},[162],{"categories":2772},[137],{"categories":2774},[76],{"categories":2776},[123],{"categories":2778},[],{"categories":2780},[],{"categories":2782},[76],{"categories":2784},[76],{"categories":2786},[123],{"categories":2788},[76],{"categories":2790},[123],{"categories":2792},[399],{"categories":2794},[217],{"categories":2796},[76],{"categories":2798},[162],{"categories":2800},[137],{"categories":2802},[76],{"categories":2804},[123],{"categories":2806},[123],{"categories":2808},[],{"categories":2810},[76],{"categories":2812},[],{"categories":2814},[76],{"categories":2816},[],{"categories":2818},[76],{"categories":2820},[76],{"categories":2822},[76],{"categories":2824},[123],{"categories":2826},[76],{"categories":2828},[137],{"categories":2830},[],{"categories":2832},[],{"categories":2834},[140],{"categories":2836},[151],{"categories":2838},[76],{"categories":2840},[76],{"categories":2842},[76],{"categories":2844},[140],{"categories":2846},[140],{"categories":2848},[76],{"categories":2850},[76],{"categories":2852},[162],{"categories":2854},[76],{"categories":2856},[76],{"categories":2858},[76],{"categories":2860},[123],{"categories":2862},[76],{"categories":2864},[76],{"categories":2866},[123],{"categories":2868},[76],{"categories":2870},[76],{"categories":2872},[76],{"categories":2874},[123],{"categories":2876},[],{"categories":2878},[76],{"categories":2880},[],{"categories":2882},[76],{"categories":2884},[76],{"categories":2886},[293],{"categories":2888},[76],{"categories":2890},[],{"categories":2892},[],{"categories":2894},[217],{"categories":2896},[973],{"categories":2898},[123],{"categories":2900},[113],{"categories":2902},[2691],{"categories":2904},[],{"categories":2906},[],{"categories":2908},[76],{"categories":2910},[],{"categories":2912},[],{"categories":2914},[137],{"categories":2916},[162],{"categories":2918},[250],{"categories":2920},[140],{"categories":2922},[123],{"categories":2924},[118],{"categories":2926},[76],{"categories":2928},[76],{"categories":2930},[118],{"categories":2932},[],{"categories":2934},[217],{"categories":2936},[126],{"categories":2938},[76],{"categories":2940},[76],{"categories":2942},[123],{"categories":2944},[118],{"categories":2946},[76],{"categories":2948},[76],{"categories":2950},[113],{"categories":2952},[76],{"categories":2954},[76],{"categories":2956},[],{"categories":2958},[113],{"categories":2960},[76],{"categories":2962},[250],{"categories":2964},[76],{"categories":2966},[137],{"categories":2968},[123],{"categories":2970},[162],{"categories":2972},[76],{"categories":2974},[137],{"categories":2976},[76],{"categories":2978},[76],{"categories":2980},[76],{"categories":2982},[76],{"categories":2984},[118],{"categories":2986},[76],{"categories":2988},[76],{"categories":2990},[76],{"categories":2992},[123],{"categories":2994},[76],{"categories":2996},[76],{"categories":2998},[],{"categories":3000},[76],{"categories":3002},[137],{"categories":3004},[113],{"categories":3006},[76],{"categories":3008},[76],{"categories":3010},[217],{"categories":3012},[76],{"categories":3014},[],{"categories":3016},[76],{"categories":3018},[484],{"categories":3020},[123],{"categories":3022},[118],{"categories":3024},[76],{"categories":3026},[162],{"categories":3028},[76],{"categories":3030},[76],{"categories":3032},[],{"categories":3034},[118],{"categories":3036},[118],{"categories":3038},[76],{"categories":3040},[76],{"categories":3042},[126],{"categories":3044},[76],{"categories":3046},[76],{"categories":3048},[76],{"categories":3050},[76],{"categories":3052},[137],{"categories":3054},[140],{"categories":3056},[137],{"categories":3058},[76],{"categories":3060},[],{"categories":3062},[76],{"categories":3064},[137],{"categories":3066},[76],{"categories":3068},[137],{"categories":3070},[123],{"categories":3072},[599],{"categories":3074},[],{"categories":3076},[],{"categories":3078},[76],{"categories":3080},[162],{"categories":3082},[],{"categories":3084},[293],{"categories":3086},[76],{"categories":3088},[76],{"categories":3090},[76],{"categories":3092},[217],{"categories":3094},[933],{"categories":3096},[],{"categories":3098},[76],{"categories":3100},[76],{"categories":3102},[76],{"categories":3104},[137],{"categories":3106},[76],{"categories":3108},[76],{"categories":3110},[76],{"categories":3112},[76],{"categories":3114},[76,293],{"categories":3116},[76],{"categories":3118},[76],{"categories":3120},[217],{"categories":3122},[123],{"categories":3124},[],{"categories":3126},[123],{"categories":3128},[123],{"categories":3130},[76],{"categories":3132},[76],{"categories":3134},[76],{"categories":3136},[76],{"categories":3138},[76],{"categories":3140},[140],{"categories":3142},[76],{"categories":3144},[76],{"categories":3146},[2740],{"categories":3148},[113],{"categories":3150},[76],{"categories":3152},[140],{"categories":3154},[113],{"categories":3156},[137],{"categories":3158},[217],{"categories":3160},[123],{"categories":3162},[76],{"categories":3164},[76],{"categories":3166},[],{"categories":3168},[118],{"categories":3170},[76],{"categories":3172},[76],{"categories":3174},[162],{"categories":3176},[76],{"categories":3178},[76],{"categories":3180},[76],{"categories":3182},[123],{"categories":3184},[76],{"categories":3186},[76],{"categories":3188},[217],{"categories":3190},[76],{"categories":3192},[118],{"categories":3194},[],{"categories":3196},[293],{"categories":3198},[76],{"categories":3200},[399],{"categories":3202},[217],{"categories":3204},[217],{"categories":3206},[137],{"categories":3208},[123],{"categories":3210},[76],{"categories":3212},[118],{"categories":3214},[162],{"categories":3216},[76],{"categories":3218},[76],{"categories":3220},[76],{"categories":3222},[217],{"categories":3224},[123],{"categories":3226},[76],{"categories":3228},[123],{"categories":3230},[76],{"categories":3232},[123],{"categories":3234},[76],{"categories":3236},[553],{"categories":3238},[76],{"categories":3240},[123],{"categories":3242},[],{"categories":3244},[76],{"categories":3246},[76],{"categories":3248},[76],{"categories":3250},[76],{"categories":3252},[123],{"categories":3254},[],{"categories":3256},[],{"categories":3258},[76],{"categories":3260},[76],{"categories":3262},[123],{"categories":3264},[76],{"categories":3266},[76],{"categories":3268},[76],{"categories":3270},[137],{"categories":3272},[76],{"categories":3274},[76],{"categories":3276},[123],{"categories":3278},[76],{"categories":3280},[76],{"categories":3282},[76],{"categories":3284},[76],{"categories":3286},[76],{"categories":3288},[],{"categories":3290},[137],{"categories":3292},[140],{"categories":3294},[76],{"categories":3296},[123],{"categories":3298},[123],{"categories":3300},[76],{"categories":3302},[76],{"categories":3304},[],{"categories":3306},[],{"categories":3308},[76],{"categories":3310},[76],{"categories":3312},[76],{"categories":3314},[162],{"categories":3316},[140],{"categories":3318},[],{"categories":3320},[76],{"categories":3322},[217],{"categories":3324},[76],{"categories":3326},[76],{"categories":3328},[293],{"categories":3330},[1954],{"categories":3332},[76],{"categories":3334},[162],{"categories":3336},[137],{"categories":3338},[76],{"categories":3340},[137],{"categories":3342},[137],{"categories":3344},[76],{"categories":3346},[76],{"categories":3348},[137],{"categories":3350},[162],{"categories":3352},[162],{"categories":3354},[293],{"categories":3356},[123],{"categories":3358},[],{"categories":3360},[162],{"categories":3362},[118],{"categories":3364},[76],{"categories":3366},[123],{"categories":3368},[113],{"categories":3370},[137],{"categories":3372},[76],{"categories":3374},[118],{"categories":3376},[162],{"categories":3378},[],{"categories":3380},[76],{"categories":3382},[137],{"categories":3384},[76],{"categories":3386},[137],{"categories":3388},[140],{"categories":3390},[76],{"categories":3392},[162],{"categories":3394},[76],{"categories":3396},[137],{"categories":3398},[123],{"categories":3400},[123],{"categories":3402},[162],{"categories":3404},[123],{"categories":3406},[293],{"categories":3408},[123],{"categories":3410},[76],{"categories":3412},[76],{"categories":3414},[76],{"categories":3416},[76],{"categories":3418},[76],{"categories":3420},[137],{"categories":3422},[76],{"categories":3424},[],{"categories":3426},[123],{"categories":3428},[118],{"categories":3430},[137],{"categories":3432},[],{"categories":3434},[],{"categories":3436},[76],{"categories":3438},[123],{"categories":3440},[76],{"categories":3442},[76],{"categories":3444},[76],{"categories":3446},[3447],"Frameworks & Tooling",{"categories":3449},[76],{"categories":3451},[76],{"categories":3453},[137],{"categories":3455},[76],{"categories":3457},[76],{"categories":3459},[],{"categories":3461},[140],{"categories":3463},[140],{"categories":3465},[76],{"categories":3467},[113],{"categories":3469},[76],{"categories":3471},[123],{"categories":3473},[76],{"categories":3475},[217],{"categories":3477},[],{"categories":3479},[1954],{"categories":3481},[76],{"categories":3483},[137],{"categories":3485},[76],{"categories":3487},[293],{"categories":3489},[293],{"categories":3491},[],{"categories":3493},[76],{"categories":3495},[123],{"categories":3497},[123],{"categories":3499},[76],{"categories":3501},[76],{"categories":3503},[162],{"categories":3505},[123],{"categories":3507},[162],{"categories":3509},[76],{"categories":3511},[123],{"categories":3513},[],{"categories":3515},[217],{"categories":3517},[76],{"categories":3519},[76],{"categories":3521},[],{"categories":3523},[76],{"categories":3525},[123],{"categories":3527},[76],{"categories":3529},[76],{"categories":3531},[76],{"categories":3533},[],{"categories":3535},[118],{"categories":3537},[137],{"categories":3539},[76],{"categories":3541},[137],{"categories":3543},[293],{"categories":3545},[76],{"categories":3547},[76],{"categories":3549},[76],{"categories":3551},[137],{"categories":3553},[76],{"categories":3555},[118],{"categories":3557},[76],{"categories":3559},[1954],{"categories":3561},[],{"categories":3563},[123],{"categories":3565},[113],{"categories":3567},[76],{"categories":3569},[113],{"categories":3571},[76],{"categories":3573},[],{"categories":3575},[123],{"categories":3577},[76],{"categories":3579},[76],{"categories":3581},[3582],"AI Design Tooling",{"categories":3584},[217],{"categories":3586},[76],{"categories":3588},[76],{"categories":3590},[137],{"categories":3592},[217],{"categories":3594},[76],{"categories":3596},[76],{"categories":3598},[137],{"categories":3600},[123],{"categories":3602},[162],{"categories":3604},[126],{"categories":3606},[137],{"categories":3608},[76],{"categories":3610},[76],{"categories":3612},[76],{"categories":3614},[123],{"categories":3616},[76],{"categories":3618},[],{"categories":3620},[123],{"categories":3622},[76],{"categories":3624},[76],{"categories":3626},[123],{"categories":3628},[76],{"categories":3630},[76],{"categories":3632},[76],{"categories":3634},[123],{"categories":3636},[],{"categories":3638},[123],{"categories":3640},[3447],{"categories":3642},[76],{"categories":3644},[76],{"categories":3646},[123],{"categories":3648},[123],{"categories":3650},[137],{"categories":3652},[137],{"categories":3654},[76],{"categories":3656},[76],{"categories":3658},[],{"categories":3660},[137],{"categories":3662},[76],{"categories":3664},[76],{"categories":3666},[123],{"categories":3668},[118],{"categories":3670},[76],{"categories":3672},[],{"categories":3674},[76],{"categories":3676},[76],{"categories":3678},[2461],{"categories":3680},[],{"categories":3682},[76],{"categories":3684},[76],{"categories":3686},[76],{"categories":3688},[76],{"categories":3690},[217],{"categories":3692},[76],{"categories":3694},[],{"categories":3696},[76],{"categories":3698},[76],{"categories":3700},[76],{"categories":3702},[76],{"categories":3704},[250],{"categories":3706},[162],{"categories":3708},[76],{"categories":3710},[76],{"categories":3712},[1954],{"categories":3714},[76],{"categories":3716},[113],{"categories":3718},[76],{"categories":3720},[76],{"categories":3722},[140],{"categories":3724},[123],{"categories":3726},[76],{"categories":3728},[76],{"categories":3730},[162],{"categories":3732},[123],{"categories":3734},[],{"categories":3736},[76],{"categories":3738},[76],{"categories":3740},[217],{"categories":3742},[76],{"categories":3744},[250],{"categories":3746},[123],{"categories":3748},[76],{"categories":3750},[123],{"categories":3752},[76],{"categories":3754},[],{"categories":3756},[],{"categories":3758},[],{"categories":3760},[113],{"categories":3762},[162],{"categories":3764},[123],{"categories":3766},[76],{"categories":3768},[76],{"categories":3770},[76],{"categories":3772},[76],{"categories":3774},[422],{"categories":3776},[217],{"categories":3778},[123],{"categories":3780},[76],{"categories":3782},[],{"categories":3784},[76],{"categories":3786},[123],{"categories":3788},[123],{"categories":3790},[],{"categories":3792},[76],{"categories":3794},[123],{"categories":3796},[76],{"categories":3798},[],{"categories":3800},[76],{"categories":3802},[76],{"categories":3804},[76],{"categories":3806},[162],{"categories":3808},[217],{"categories":3810},[123],{"categories":3812},[217],{"categories":3814},[123],{"categories":3816},[76],{"categories":3818},[118],{"categories":3820},[],{"categories":3822},[],{"categories":3824},[76],{"categories":3826},[76],{"categories":3828},[76],{"categories":3830},[113],{"categories":3832},[76],{"categories":3834},[123],{"categories":3836},[162],{"categories":3838},[],{"categories":3840},[217],{"categories":3842},[123],{"categories":3844},[],{"categories":3846},[137],{"categories":3848},[76],{"categories":3850},[137],{"categories":3852},[217],{"categories":3854},[137],{"categories":3856},[76],{"categories":3858},[],{"categories":3860},[76],{"categories":3862},[76],{"categories":3864},[123],{"categories":3866},[],{"categories":3868},[76],{"categories":3870},[76],{"categories":3872},[250],{"categories":3874},[76],{"categories":3876},[76],{"categories":3878},[76],{"categories":3880},[293],{"categories":3882},[137],{"categories":3884},[76],{"categories":3886},[123],{"categories":3888},[],{"categories":3890},[76],{"categories":3892},[123],{"categories":3894},[76],{"categories":3896},[113],{"categories":3898},[553],{"categories":3900},[76],{"categories":3902},[76],{"categories":3904},[76],{"categories":3906},[123],{"categories":3908},[76],{"categories":3910},[123],{"categories":3912},[76],{"categories":3914},[76],{"categories":3916},[76],{"categories":3918},[123],{"categories":3920},[126],{"categories":3922},[76],{"categories":3924},[76],{"categories":3926},[],{"categories":3928},[76],{"categories":3930},[76],{"categories":3932},[113],{"categories":3934},[76],{"categories":3936},[118],{"categories":3938},[137],{"categories":3940},[217],{"categories":3942},[],{"categories":3944},[76],{"categories":3946},[],{"categories":3948},[123],{"categories":3950},[76],{"categories":3952},[123],{"categories":3954},[],{"categories":3956},[123],{"categories":3958},[76],{"categories":3960},[137],{"categories":3962},[217],{"categories":3964},[162],{"categories":3966},[76],{"categories":3968},[162],{"categories":3970},[123],{"categories":3972},[76],{"categories":3974},[217],{"categories":3976},[76],{"categories":3978},[],{"categories":3980},[76],{"categories":3982},[151],{"categories":3984},[123],{"categories":3986},[76],{"categories":3988},[217],{"categories":3990},[162],{"categories":3992},[76],{"categories":3994},[118],{"categories":3996},[137],{"categories":3998},[76],{"categories":4000},[76],{"categories":4002},[76],{"categories":4004},[76],{"categories":4006},[76],{"categories":4008},[162],{"categories":4010},[137],{"categories":4012},[250],{"categories":4014},[],{"categories":4016},[],{"categories":4018},[140],{"categories":4020},[484],{"categories":4022},[76],{"categories":4024},[123],{"categories":4026},[76,137],{"categories":4028},[162],{"categories":4030},[76],{"categories":4032},[76],{"categories":4034},[76],{"categories":4036},[76],{"categories":4038},[76],{"categories":4040},[76],{"categories":4042},[76],{"categories":4044},[123],{"categories":4046},[76],{"categories":4048},[76],{"categories":4050},[123],{"categories":4052},[76],{"categories":4054},[76],{"categories":4056},[76],{"categories":4058},[],{"categories":4060},[76],{"categories":4062},[1320],{"categories":4064},[137],{"categories":4066},[217],{"categories":4068},[76],{"categories":4070},[76],{"categories":4072},[76],{"categories":4074},[76],{"categories":4076},[140],{"categories":4078},[123],{"categories":4080},[250],{"categories":4082},[293],{"categories":4084},[],{"categories":4086},[137],{"categories":4088},[76],{"categories":4090},[118],{"categories":4092},[123],{"categories":4094},[76],{"categories":4096},[113],{"categories":4098},[123],{"categories":4100},[76],{"categories":4102},[123],{"categories":4104},[123],{"categories":4106},[126],{"categories":4108},[137],{"categories":4110},[76],{"categories":4112},[76],{"categories":4114},[],{"categories":4116},[],{"categories":4118},[],{"categories":4120},[293],{"categories":4122},[76],{"categories":4124},[162],{"categories":4126},[76],{"categories":4128},[76],{"categories":4130},[76],{"categories":4132},[76],{"categories":4134},[137],{"categories":4136},[76],{"categories":4138},[],{"categories":4140},[76],{"categories":4142},[140],{"categories":4144},[118],{"categories":4146},[123],{"categories":4148},[76],{"categories":4150},[],{"categories":4152},[76],{"categories":4154},[123],{"categories":4156},[137],{"categories":4158},[76],{"categories":4160},[76],{"categories":4162},[76],{"categories":4164},[293],{"categories":4166},[],{"categories":4168},[217],{"categories":4170},[217],{"categories":4172},[76],{"categories":4174},[123],{"categories":4176},[],{"categories":4178},[137],{"categories":4180},[76],{"categories":4182},[217],{"categories":4184},[76],{"categories":4186},[118],{"categories":4188},[123],{"categories":4190},[76],{"categories":4192},[],{"categories":4194},[162],{"categories":4196},[76],{"categories":4198},[76],{"categories":4200},[76],{"categories":4202},[76],{"categories":4204},[76],{"categories":4206},[217],{"categories":4208},[123],{"categories":4210},[162],{"categories":4212},[],{"categories":4214},[123],{"categories":4216},[76],{"categories":4218},[118],{"categories":4220},[123],{"categories":4222},[217],{"categories":4224},[76],{"categories":4226},[76],{"categories":4228},[76],{"categories":4230},[484],{"categories":4232},[76],{"categories":4234},[123],{"categories":4236},[],{"categories":4238},[76],{"categories":4240},[76],{"categories":4242},[293],{"categories":4244},[162],{"categories":4246},[140],{"categories":4248},[599],{"categories":4250},[140],{"categories":4252},[140],{"categories":4254},[76],{"categories":4256},[],{"categories":4258},[],{"categories":4260},[],{"categories":4262},[123],{"categories":4264},[76],{"categories":4266},[76],{"categories":4268},[123],{"categories":4270},[123],{"categories":4272},[137],{"categories":4274},[76],{"categories":4276},[455],{"categories":4278},[137],{"categories":4280},[76],{"categories":4282},[123],{"categories":4284},[76],{"categories":4286},[76],{"categories":4288},[76],{"categories":4290},[118],{"categories":4292},[76],{"categories":4294},[76],{"categories":4296},[76],{"categories":4298},[76],{"categories":4300},[123],{"categories":4302},[126],{"categories":4304},[76],{"categories":4306},[],{"categories":4308},[],{"categories":4310},[76],{"categories":4312},[],{"categories":4314},[76],{"categories":4316},[123],{"categories":4318},[217],{"categories":4320},[76],{"categories":4322},[76],{"categories":4324},[123],{"categories":4326},[],{"categories":4328},[123],{"categories":4330},[76],{"categories":4332},[76],{"categories":4334},[126],{"categories":4336},[76],{"categories":4338},[217],{"categories":4340},[76],{"categories":4342},[123],{"categories":4344},[118],{"categories":4346},[76],{"categories":4348},[76],{"categories":4350},[76],{"categories":4352},[250],{"categories":4354},[123],{"categories":4356},[76],{"categories":4358},[76],{"categories":4360},[76],{"categories":4362},[933],{"categories":4364},[76],{"categories":4366},[123],{"categories":4368},[76],{"categories":4370},[137],{"categories":4372},[76],{"categories":4374},[553],{"categories":4376},[217],{"categories":4378},[],{"categories":4380},[76],{"categories":4382},[76],{"categories":4384},[162],{"categories":4386},[484],{"categories":4388},[123],{"categories":4390},[76],{"categories":4392},[],{"categories":4394},[162],{"categories":4396},[399],{"categories":4398},[123],{"categories":4400},[123],{"categories":4402},[123],{"categories":4404},[76],{"categories":4406},[76],{"categories":4408},[123],{"categories":4410},[76],{"categories":4412},[],{"categories":4414},[118],{"categories":4416},[76],{"categories":4418},[217],{"categories":4420},[118],{"categories":4422},[123],{"categories":4424},[137],{"categories":4426},[],{"categories":4428},[137],{"categories":4430},[76],{"categories":4432},[76],{"categories":4434},[113],{"categories":4436},[76],{"categories":4438},[162],{"categories":4440},[293],{"categories":4442},[151],{"categories":4444},[123],{"categories":4446},[123],{"categories":4448},[76],{"categories":4450},[76],{"categories":4452},[123],{"categories":4454},[76],{"categories":4456},[113],{"categories":4458},[],{"categories":4460},[123],{"categories":4462},[76],{"categories":4464},[76],{"categories":4466},[76],{"categories":4468},[123],{"categories":4470},[76],{"categories":4472},[],{"categories":4474},[76],{"categories":4476},[],{"categories":4478},[217],{"categories":4480},[123],{"categories":4482},[123],{"categories":4484},[76,118],{"categories":4486},[123],{"categories":4488},[76],{"categories":4490},[],{"categories":4492},[113],{"categories":4494},[140],{"categories":4496},[118],{"categories":4498},[123],{"categories":4500},[76],{"categories":4502},[137],{"categories":4504},[76],{"categories":4506},[76],{"categories":4508},[123],{"categories":4510},[76],{"categories":4512},[76],{"categories":4514},[76],{"categories":4516},[162],{"categories":4518},[1320],{"categories":4520},[123],{"categories":4522},[76],{"categories":4524},[],{"categories":4526},[],{"categories":4528},[76],{"categories":4530},[123],{"categories":4532},[76],{"categories":4534},[76],{"categories":4536},[293],{"categories":4538},[],{"categories":4540},[76],{"categories":4542},[123],{"categories":4544},[151],{"categories":4546},[123],{"categories":4548},[76],{"categories":4550},[484],{"categories":4552},[],{"categories":4554},[422],{"categories":4556},[76],{"categories":4558},[123],{"categories":4560},[76],{"categories":4562},[76],{"categories":4564},[76],{"categories":4566},[250],{"categories":4568},[76],{"categories":4570},[123],{"categories":4572},[76],{"categories":4574},[140],{"categories":4576},[126],{"categories":4578},[123],{"categories":4580},[76],{"categories":4582},[484],{"categories":4584},[76],{"categories":4586},[293],{"categories":4588},[118],{"categories":4590},[],{"categories":4592},[76],{"categories":4594},[76],{"categories":4596},[250],{"categories":4598},[217],{"categories":4600},[76],{"categories":4602},[76],{"categories":4604},[76],{"categories":4606},[],{"categories":4608},[250],{"categories":4610},[162],{"categories":4612},[76],{"categories":4614},[76],{"categories":4616},[76],{"categories":4618},[599],{"categories":4620},[113],{"categories":4622},[76],{"categories":4624},[126],{"categories":4626},[76],{"categories":4628},[76],{"categories":4630},[],{"categories":4632},[],{"categories":4634},[217],{"categories":4636},[76],{"categories":4638},[76],{"categories":4640},[140],{"categories":4642},[250],{"categories":4644},[123],{"categories":4646},[76],{"categories":4648},[76],{"categories":4650},[250],{"categories":4652},[118],{"categories":4654},[162],{"categories":4656},[76],{"categories":4658},[],{"categories":4660},[76],{"categories":4662},[76],{"categories":4664},[],{"categories":4666},[76],{"categories":4668},[76],{"categories":4670},[626],{"categories":4672},[76],{"categories":4674},[76],{"categories":4676},[123],{"categories":4678},[137],{"categories":4680},[484],{"categories":4682},[76],{"categories":4684},[118],{"categories":4686},[76],{"categories":4688},[76],{"categories":4690},[],{"categories":4692},[76,137],{"categories":4694},[162],{"categories":4696},[123],{"categories":4698},[137],{"categories":4700},[123],{"categories":4702},[973],{"categories":4704},[137],{"categories":4706},[137],{"categories":4708},[123],{"categories":4710},[76],{"categories":4712},[113],{"categories":4714},[76],{"categories":4716},[],{"categories":4718},[],{"categories":4720},[123],{"categories":4722},[76],{"categories":4724},[137],{"categories":4726},[123],{"categories":4728},[76],{"categories":4730},[113],{"categories":4732},[137],{"categories":4734},[137],{"categories":4736},[76],{"categories":4738},[250],{"categories":4740},[76],{"categories":4742},[76],{"categories":4744},[137],{"categories":4746},[76],{"categories":4748},[],{"categories":4750},[76],{"categories":4752},[76],{"categories":4754},[217,76],{"categories":4756},[293],{"categories":4758},[113],{"categories":4760},[76],{"categories":4762},[],{"categories":4764},[76],{"categories":4766},[76],{"categories":4768},[118],{"categories":4770},[76],{"categories":4772},[118],{"categories":4774},[76],{"categories":4776},[76],{"categories":4778},[399],{"categories":4780},[76],{"categories":4782},[118],{"categories":4784},[137],{"categories":4786},[140],{"categories":4788},[123],{"categories":4790},[76],{"categories":4792},[137],{"categories":4794},[76],{"categories":4796},[76],{"categories":4798},[162],{"categories":4800},[76],{"categories":4802},[250],{"categories":4804},[217],{"categories":4806},[76],{"categories":4808},[76],{"categories":4810},[126],{"categories":4812},[76],{"categories":4814},[76],{"categories":4816},[113],{"categories":4818},[76],{"categories":4820},[123],{"categories":4822},[123],{"categories":4824},[137],{"categories":4826},[76],{"categories":4828},[162],{"categories":4830},[137],{"categories":4832},[137],{"categories":4834},[76],{"categories":4836},[76],{"categories":4838},[],{"categories":4840},[],{"categories":4842},[140],{"categories":4844},[76],{"categories":4846},[137],{"categories":4848},[76],{"categories":4850},[217],{"categories":4852},[484],{"categories":4854},[422],{"categories":4856},[399],{"categories":4858},[76],{"categories":4860},[76],{"categories":4862},[137],{"categories":4864},[76],{"categories":4866},[140],{"categories":4868},[76],{"categories":4870},[76],{"categories":4872},[76],{"categories":4874},[76],{"categories":4876},[76],{"categories":4878},[76],{"categories":4880},[76],{"categories":4882},[123],{"categories":4884},[113],{"categories":4886},[123],{"categories":4888},[76,118],{"categories":4890},[],{"categories":4892},[217],{"categories":4894},[],{"categories":4896},[126],{"categories":4898},[76],{"categories":4900},[162],{"categories":4902},[113],{"categories":4904},[76],{"categories":4906},[113],{"categories":4908},[123],{"categories":4910},[140],{"categories":4912},[123],{"categories":4914},[118],{"categories":4916},[126],{"categories":4918},[76],{"categories":4920},[123],{"categories":4922},[76],{"categories":4924},[76],{"categories":4926},[76],{"categories":4928},[118],{"categories":4930},[123],{"categories":4932},[137],{"categories":4934},[250],{"categories":4936},[76],{"categories":4938},[76],{"categories":4940},[],{"categories":4942},[162],{"categories":4944},[76],{"categories":4946},[76],{"categories":4948},[76],{"categories":4950},[76],{"categories":4952},[76],{"categories":4954},[76],{"categories":4956},[137],{"categories":4958},[162],{"categories":4960},[137],{"categories":4962},[137],{"categories":4964},[76],{"categories":4966},[76],{"categories":4968},[76],{"categories":4970},[76],{"categories":4972},[422],{"categories":4974},[76],{"categories":4976},[123],{"categories":4978},[123],{"categories":4980},[162],{"categories":4982},[76],{"categories":4984},[76],{"categories":4986},[76],{"categories":4988},[123],{"categories":4990},[76],{"categories":4992},[76],{"categories":4994},[76],{"categories":4996},[3447],{"categories":4998},[4999],"Clinical AI",{"categories":5001},[217],{"categories":5003},[76],{"categories":5005},[76],{"categories":5007},[76],{"categories":5009},[76],{"categories":5011},[293],{"categories":5013},[2740],{"categories":5015},[76],{"categories":5017},[126],{"categories":5019},[217],{"categories":5021},[76],{"categories":5023},[123],{"categories":5025},[76],{"categories":5027},[76],{"categories":5029},[162],{"categories":5031},[76],{"categories":5033},[123],{"categories":5035},[137],{"categories":5037},[250],{"categories":5039},[76],{"categories":5041},[76],{"categories":5043},[118],{"categories":5045},[76],{"categories":5047},[76],{"categories":5049},[553],{"categories":5051},[76],{"categories":5053},[],{"categories":5055},[123],{"categories":5057},[76],{"categories":5059},[137],{"categories":5061},[113],{"categories":5063},[76],{"categories":5065},[],{"categories":5067},[],{"categories":5069},[76],{"categories":5071},[],{"categories":5073},[118],{"categories":5075},[76],{"categories":5077},[76],{"categories":5079},[123],{"categories":5081},[123],{"categories":5083},[76],{"categories":5085},[162],{"categories":5087},[162],{"categories":5089},[162],{"categories":5091},[162],{"categories":5093},[],{"categories":5095},[113],{"categories":5097},[123],{"categories":5099},[162],{"categories":5101},[76],{"categories":5103},[626],{"categories":5105},[126],{"categories":5107},[123],{"categories":5109},[76],{"categories":5111},[113],{"categories":5113},[76],{"categories":5115},[123],{"categories":5117},[76],{"categories":5119},[76],{"categories":5121},[76],{"categories":5123},[76],{"categories":5125},[76],{"categories":5127},[76,123],{"categories":5129},[123],{"categories":5131},[293],{"categories":5133},[162],{"categories":5135},[123],{"categories":5137},[162],{"categories":5139},[123],{"categories":5141},[76],{"categories":5143},[],{"categories":5145},[162],{"categories":5147},[250],{"categories":5149},[113],{"categories":5151},[76],{"categories":5153},[76],{"categories":5155},[],{"categories":5157},[137],{"categories":5159},[],{"categories":5161},[113],{"categories":5163},[123],{"categories":5165},[162],{"categories":5167},[76],{"categories":5169},[162],{"categories":5171},[113],{"categories":5173},[162],{"categories":5175},[162],{"categories":5177},[],{"categories":5179},[118],{"categories":5181},[123],{"categories":5183},[162],{"categories":5185},[162],{"categories":5187},[162],{"categories":5189},[162],{"categories":5191},[162],{"categories":5193},[162],{"categories":5195},[162],{"categories":5197},[162],{"categories":5199},[162],{"categories":5201},[162],{"categories":5203},[140],{"categories":5205},[113],{"categories":5207},[76],{"categories":5209},[76],{"categories":5211},[123],{"categories":5213},[123],{"categories":5215},[],{"categories":5217},[76],{"categories":5219},[76,113],{"categories":5221},[],{"categories":5223},[123],{"categories":5225},[76],{"categories":5227},[162],{"categories":5229},[123],{"categories":5231},[123],{"categories":5233},[973],{"categories":5235},[76],{"categories":5237},[76],{"categories":5239},[76],{"categories":5241},[76],{"categories":5243},[126],{"categories":5245},[76],{"categories":5247},[76],{"categories":5249},[399],{"categories":5251},[76],{"categories":5253},[76],{"categories":5255},[123],{"categories":5257},[76],{"categories":5259},[76],{"categories":5261},[76],{"categories":5263},[118],{"categories":5265},[126],{"categories":5267},[123],{"categories":5269},[123],{"categories":5271},[],{"categories":5273},[123],{"categories":5275},[217],{"categories":5277},[162],{"categories":5279},[76],{"categories":5281},[],{"categories":5283},[76],{"categories":5285},[126],{"categories":5287},[],{"categories":5289},[137],{"categories":5291},[76],{"categories":5293},[123],{"categories":5295},[217],{"categories":5297},[76],{"categories":5299},[76],{"categories":5301},[],{"categories":5303},[76],{"categories":5305},[76],{"categories":5307},[],{"categories":5309},[250],{"categories":5311},[76],{"categories":5313},[123],{"categories":5315},[],{"categories":5317},[],{"categories":5319},[162],{"categories":5321},[113],{"categories":5323},[76],{"categories":5325},[76],{"categories":5327},[118],{"categories":5329},[76],{"categories":5331},[76],{"categories":5333},[123],{"categories":5335},[76],{"categories":5337},[118],{"categories":5339},[118],{"categories":5341},[217],{"categories":5343},[],{"categories":5345},[76],{"categories":5347},[162],{"categories":5349},[],{"categories":5351},[76],{"categories":5353},[76],{"categories":5355},[217],{"categories":5357},[76],{"categories":5359},[76],{"categories":5361},[250],{"categories":5363},[76],{"categories":5365},[293],{"categories":5367},[],{"categories":5369},[123],{"categories":5371},[76],{"categories":5373},[250],{"categories":5375},[137],{"categories":5377},[],{"categories":5379},[76],{"categories":5381},[],{"categories":5383},[123],{"categories":5385},[217],{"categories":5387},[137],{"categories":5389},[],{"categories":5391},[3447],{"categories":5393},[118],{"categories":5395},[113],{"categories":5397},[76],{"categories":5399},[123],{"categories":5401},[140],{"categories":5403},[123],{"categories":5405},[76],{"categories":5407},[217],{"categories":5409},[76],{"categories":5411},[76],{"categories":5413},[137],{"categories":5415},[],{"categories":5417},[],{"categories":5419},[76],{"categories":5421},[113],{"categories":5423},[76],{"categories":5425},[250],{"categories":5427},[],{"categories":5429},[123],{"categories":5431},[123],{"categories":5433},[76],{"categories":5435},[123],{"categories":5437},[76],{"categories":5439},[162],{"categories":5441},[76],{"categories":5443},[137],{"categories":5445},[76],{"categories":5447},[123],{"categories":5449},[126],{"categories":5451},[76],{"categories":5453},[76],{"categories":5455},[76],{"categories":5457},[76],{"categories":5459},[123],{"categories":5461},[76],{"categories":5463},[126],{"categories":5465},[250],{"categories":5467},[162],{"categories":5469},[],{"categories":5471},[250],{"categories":5473},[76],{"categories":5475},[],{"categories":5477},[137],{"categories":5479},[123],{"categories":5481},[],{"categories":5483},[76],{"categories":5485},[76],{"categories":5487},[76],{"categories":5489},[76],{"categories":5491},[76],{"categories":5493},[123],{"categories":5495},[118],{"categories":5497},[113],{"categories":5499},[76],{"categories":5501},[76],{"categories":5503},[123],{"categories":5505},[76],{"categories":5507},[217],{"categories":5509},[137],{"categories":5511},[137],{"categories":5513},[76],{"categories":5515},[140],{"categories":5517},[123],{"categories":5519},[76],{"categories":5521},[76],{"categories":5523},[123],{"categories":5525},[76],{"categories":5527},[76],{"categories":5529},[76],{"categories":5531},[123],{"categories":5533},[118],{"categories":5535},[76],{"categories":5537},[217],{"categories":5539},[137],{"categories":5541},[123],{"categories":5543},[76],{"categories":5545},[126],{"categories":5547},[76],{"categories":5549},[126],{"categories":5551},[123],{"categories":5553},[76],{"categories":5555},[76],{"categories":5557},[162],{"categories":5559},[76],{"categories":5561},[],{"categories":5563},[113],{"categories":5565},[76],{"categories":5567},[76],{"categories":5569},[76],{"categories":5571},[137],{"categories":5573},[137],{"categories":5575},[76],{"categories":5577},[137],{"categories":5579},[76],{"categories":5581},[123],{"categories":5583},[76],{"categories":5585},[76],{"categories":5587},[76],{"categories":5589},[76],{"categories":5591},[76],{"categories":5593},[],{"categories":5595},[76],{"categories":5597},[217],{"categories":5599},[123],{"categories":5601},[118],{"categories":5603},[162],{"categories":5605},[76],{"categories":5607},[123],{"categories":5609},[76],{"categories":5611},[123],{"categories":5613},[76],{"categories":5615},[76],{"categories":5617},[217],{"categories":5619},[123],{"categories":5621},[76],{"categories":5623},[250],{"categories":5625},[118],{"categories":5627},[76],{"categories":5629},[140],{"categories":5631},[76],{"categories":5633},[76],{"categories":5635},[162],{"categories":5637},[76],{"categories":5639},[76],{"categories":5641},[76],{"categories":5643},[76],{"categories":5645},[123],{"categories":5647},[293],{"categories":5649},[76],{"categories":5651},[137],{"categories":5653},[123],{"categories":5655},[140],{"categories":5657},[],{"categories":5659},[123],{"categories":5661},[137],{"categories":5663},[76],{"categories":5665},[76],{"categories":5667},[76],{"categories":5669},[2562],{"categories":5671},[76],{"categories":5673},[217],{"categories":5675},[328],{"categories":5677},[76],{"categories":5679},[76],{"categories":5681},[76],{"categories":5683},[76],{"categories":5685},[76],{"categories":5687},[113],{"categories":5689},[123],{"categories":5691},[76],{"categories":5693},[76],{"categories":5695},[137],{"categories":5697},[118],{"categories":5699},[76],{"categories":5701},[137],{"categories":5703},[76],{"categories":5705},[],{"categories":5707},[123],{"categories":5709},[123],{"categories":5711},[76],{"categories":5713},[76],{"categories":5715},[76],{"categories":5717},[140],{"categories":5719},[],{"categories":5721},[162],{"categories":5723},[],{"categories":5725},[162],{"categories":5727},[76],{"categories":5729},[76],{"categories":5731},[76],{"categories":5733},[123],{"categories":5735},[76],{"categories":5737},[123],{"categories":5739},[123],{"categories":5741},[],{"categories":5743},[76],{"categories":5745},[162],{"categories":5747},[76],{"categories":5749},[],{"categories":5751},[76],{"categories":5753},[76],{"categories":5755},[],{"categories":5757},[76],{"categories":5759},[76],{"categories":5761},[217],{"categories":5763},[137],{"categories":5765},[123],{"categories":5767},[76],{"categories":5769},[76],{"categories":5771},[76],{"categories":5773},[76],{"categories":5775},[76],{"categories":5777},[250],{"categories":5779},[76],{"categories":5781},[76],{"categories":5783},[76],{"categories":5785},[113],{"categories":5787},[76],{"categories":5789},[76],{"categories":5791},[],{"categories":5793},[76],{"categories":5795},[76],{"categories":5797},[76],{"categories":5799},[],{"categories":5801},[123],{"categories":5803},[113],{"categories":5805},[76],{"categories":5807},[76],{"categories":5809},[76],{"categories":5811},[76],{"categories":5813},[162],{"categories":5815},[76],{"categories":5817},[137],{"categories":5819},[126],{"categories":5821},[123],{"categories":5823},[484],{"categories":5825},[76],{"categories":5827},[76],{"categories":5829},[76],{"categories":5831},[137],{"categories":5833},[162],{"categories":5835},[217],{"categories":5837},[76],{"categories":5839},[76],{"categories":5841},[76],{"categories":5843},[76],{"categories":5845},[76],{"categories":5847},[76],{"categories":5849},[162],{"categories":5851},[76],{"categories":5853},[217],{"categories":5855},[76],{"categories":5857},[76],{"categories":5859},[162],{"categories":5861},[217],{"categories":5863},[76],{"categories":5865},[162],{"categories":5867},[76],{"categories":5869},[123],{"categories":5871},[123],{"categories":5873},[123],{"categories":5875},[76],{"categories":5877},[137],{"categories":5879},[162],{"categories":5881},[123],{"categories":5883},[123],{"categories":5885},[76],{"categories":5887},[137],{"categories":5889},[217],{"categories":5891},[76],{"categories":5893},[76],{"categories":5895},[123],{"categories":5897},[76],{"categories":5899},[],{"categories":5901},[123],{"categories":5903},[],{"categories":5905},[76],{"categories":5907},[76],{"categories":5909},[],{"categories":5911},[],{"categories":5913},[123],{"categories":5915},[118],{"categories":5917},[123],{"categories":5919},[5920],"Liability & Ethics",{"categories":5922},[76],{"categories":5924},[76],{"categories":5926},[76],{"categories":5928},[123],{"categories":5930},[113],{"categories":5932},[123],{"categories":5934},[118],{"categories":5936},[250],{"categories":5938},[76],{"categories":5940},[123],{"categories":5942},[76],{"categories":5944},[76],{"categories":5946},[76],{"categories":5948},[],{"categories":5950},[599],{"categories":5952},[123],{"categories":5954},[],{"categories":5956},[76],{"categories":5958},[113],{"categories":5960},[123],{"categories":5962},[76],{"categories":5964},[],{"categories":5966},[123],{"categories":5968},[76],{"categories":5970},[76],{"categories":5972},[137],{"categories":5974},[76],{"categories":5976},[162],{"categories":5978},[76],{"categories":5980},[76],{"categories":5982},[126],{"categories":5984},[76],{"categories":5986},[123],{"categories":5988},[76],{"categories":5990},[76],{"categories":5992},[76],{"categories":5994},[162],{"categories":5996},[123],{"categories":5998},[137],{"categories":6000},[217],{"categories":6002},[113],{"categories":6004},[76],{"categories":6006},[76],{"categories":6008},[76],{"categories":6010},[],{"categories":6012},[123],{"categories":6014},[123],{"categories":6016},[123],{"categories":6018},[484],{"categories":6020},[217],{"categories":6022},[123],{"categories":6024},[293],{"categories":6026},[137],{"categories":6028},[162],{"categories":6030},[76],{"categories":6032},[217],{"categories":6034},[76],{"categories":6036},[113],{"categories":6038},[],{"categories":6040},[76],{"categories":6042},[123],{"categories":6044},[76],{"categories":6046},[76],{"categories":6048},[76],{"categories":6050},[76],{"categories":6052},[123],{"categories":6054},[76],{"categories":6056},[76],{"categories":6058},[217],{"categories":6060},[123],{"categories":6062},[],{"categories":6064},[123],{"categories":6066},[126],{"categories":6068},[76],{"categories":6070},[162],{"categories":6072},[123],{"categories":6074},[118],{"categories":6076},[],{"categories":6078},[76],{"categories":6080},[76],{"categories":6082},[126],{"categories":6084},[76],{"categories":6086},[123],{"categories":6088},[162],{"categories":6090},[113],{"categories":6092},[293],{"categories":6094},[76],{"categories":6096},[76],{"categories":6098},[76],{"categories":6100},[162],{"categories":6102},[118],{"categories":6104},[76],{"categories":6106},[217],{"categories":6108},[162],{"categories":6110},[293],{"categories":6112},[76],{"categories":6114},[123],{"categories":6116},[],{"categories":6118},[553],{"categories":6120},[],{"categories":6122},[76],{"categories":6124},[293],{"categories":6126},[76],{"categories":6128},[140],{"categories":6130},[76],{"categories":6132},[123],{"categories":6134},[123],{"categories":6136},[6137],"Design News & Tools",{"categories":6139},[76],{"categories":6141},[76],{"categories":6143},[162],{"categories":6145},[76],{"categories":6147},[76],{"categories":6149},[76],{"categories":6151},[113],{"categories":6153},[123],{"categories":6155},[76],{"categories":6157},[217],{"categories":6159},[123],{"categories":6161},[123],{"categories":6163},[217],{"categories":6165},[76],{"categories":6167},[76],{"categories":6169},[76],{"categories":6171},[484],{"categories":6173},[123],{"categories":6175},[76],{"categories":6177},[123],{"categories":6179},[76],{"categories":6181},[76],{"categories":6183},[484],{"categories":6185},[76],{"categories":6187},[250],{"categories":6189},[76],{"categories":6191},[123],{"categories":6193},[],{"categories":6195},[76],{"categories":6197},[76],{"categories":6199},[76],{"categories":6201},[162],{"categories":6203},[76],{"categories":6205},[113],{"categories":6207},[],{"categories":6209},[76],{"categories":6211},[76],{"categories":6213},[76],{"categories":6215},[137],{"categories":6217},[626],{"categories":6219},[137],{"categories":6221},[217],{"categories":6223},[76],{"categories":6225},[76,123],{"categories":6227},[250,118],{"categories":6229},[137],{"categories":6231},[76],{"categories":6233},[76],{"categories":6235},[76],{"categories":6237},[76],{"categories":6239},[],{"categories":6241},[137],{"categories":6243},[123],{"categories":6245},[76],{"categories":6247},[76],{"categories":6249},[],{"categories":6251},[76],{"categories":6253},[137],{"categories":6255},[76],{"categories":6257},[137],{"categories":6259},[76],{"categories":6261},[],{"categories":6263},[123],{"categories":6265},[76],{"categories":6267},[118],{"categories":6269},[76],{"categories":6271},[162],{"categories":6273},[76],{"categories":6275},[],{"categories":6277},[76],{"categories":6279},[123],{"categories":6281},[76],{"categories":6283},[],{"categories":6285},[217],{"categories":6287},[76],{"categories":6289},[76],{"categories":6291},[123],{"categories":6293},[76],{"categories":6295},[76],{"categories":6297},[76],{"categories":6299},[113],{"categories":6301},[76],{"categories":6303},[123],{"categories":6305},[76],{"categories":6307},[],{"categories":6309},[76],{"categories":6311},[293],{"categories":6313},[250],{"categories":6315},[118],{"categories":6317},[118],{"categories":6319},[76],{"categories":6321},[113],{"categories":6323},[113],{"categories":6325},[76],{"categories":6327},[123],{"categories":6329},[76],{"categories":6331},[76],{"categories":6333},[76],{"categories":6335},[76],{"categories":6337},[137],{"categories":6339},[76],{"categories":6341},[113],{"categories":6343},[76],{"categories":6345},[76],{"categories":6347},[123],{"categories":6349},[76],{"categories":6351},[250],{"categories":6353},[76],{"categories":6355},[162],{"categories":6357},[76],{"categories":6359},[76],{"categories":6361},[123],{"categories":6363},[126],{"categories":6365},[76],{"categories":6367},[123],{"categories":6369},[76],{"categories":6371},[123],{"categories":6373},[],{"categories":6375},[137],{"categories":6377},[],{"categories":6379},[137],{"categories":6381},[123],{"categories":6383},[113],{"categories":6385},[76],{"categories":6387},[],{"categories":6389},[140],{"categories":6391},[293],{"categories":6393},[76],{"categories":6395},[137],{"categories":6397},[76],{"categories":6399},[],{"categories":6401},[162],{"categories":6403},[123],{"categories":6405},[137],{"categories":6407},[217],{"categories":6409},[118],{"categories":6411},[76],{"categories":6413},[76],{"categories":6415},[123],{"categories":6417},[137],{"categories":6419},[123],{"categories":6421},[162],{"categories":6423},[76],{"categories":6425},[126],{"categories":6427},[113],{"categories":6429},[126],{"categories":6431},[162],{"categories":6433},[76],{"categories":6435},[76],{"categories":6437},[137],{"categories":6439},[76],{"categories":6441},[217],{"categories":6443},[118],{"categories":6445},[76],{"categories":6447},[76],{"categories":6449},[76],{"categories":6451},[76],{"categories":6453},[76],{"categories":6455},[76],{"categories":6457},[123],{"categories":6459},[76],{"categories":6461},[76],{"categories":6463},[123],{"categories":6465},[76],{"categories":6467},[76],{"categories":6469},[113],{"categories":6471},[76],{"categories":6473},[123],{"categories":6475},[123],{"categories":6477},[217],{"categories":6479},[123],{"categories":6481},[76],{"categories":6483},[123],{"categories":6485},[76],{"categories":6487},[113],{"categories":6489},[123],{"categories":6491},[217],{"categories":6493},[],{"categories":6495},[76],{"categories":6497},[140],{"categories":6499},[484],{"categories":6501},[76],{"categories":6503},[123],{"categories":6505},[76],{"categories":6507},[76],{"categories":6509},[137],{"categories":6511},[76],{"categories":6513},[],{"categories":6515},[76],{"categories":6517},[123],{"categories":6519},[118],{"categories":6521},[76],{"categories":6523},[250],{"categories":6525},[217],{"categories":6527},[76],{"categories":6529},[137],{"categories":6531},[76],{"categories":6533},[162],{"categories":6535},[123],{"categories":6537},[76],{"categories":6539},[250],{"categories":6541},[123],{"categories":6543},[118],{"categories":6545},[118],{"categories":6547},[76],{"categories":6549},[76],{"categories":6551},[76],{"categories":6553},[76],{"categories":6555},[76],{"categories":6557},[76],{"categories":6559},[113],{"categories":6561},[76],{"categories":6563},[],{"categories":6565},[76],{"categories":6567},[76],{"categories":6569},[123],{"categories":6571},[76],{"categories":6573},[123],{"categories":6575},[76],{"categories":6577},[76],{"categories":6579},[76],{"categories":6581},[76],{"categories":6583},[76],{"categories":6585},[76],{"categories":6587},[137],{"categories":6589},[],{"categories":6591},[113],{"categories":6593},[76],{"categories":6595},[76],{"categories":6597},[123],{"categories":6599},[123],{"categories":6601},[],{"categories":6603},[137],{"categories":6605},[137],{"categories":6607},[76],{"categories":6609},[250],{"categories":6611},[118],{"categories":6613},[217],{"categories":6615},[76],{"categories":6617},[],{"categories":6619},[76],{"categories":6621},[123],{"categories":6623},[113],{"categories":6625},[76],{"categories":6627},[76],{"categories":6629},[137],{"categories":6631},[113],{"categories":6633},[76],{"categories":6635},[76],{"categories":6637},[162],{"categories":6639},[140],{"categories":6641},[76],{"categories":6643},[162],{"categories":6645},[76],{"categories":6647},[123],{"categories":6649},[76],{"categories":6651},[76],{"categories":6653},[],{"categories":6655},[162],{"categories":6657},[123],{"categories":6659},[217],{"categories":6661},[140],{"categories":6663},[76],{"categories":6665},[76],{"categories":6667},[76],{"categories":6669},[],{"categories":6671},[123],{"categories":6673},[123],{"categories":6675},[123],{"categories":6677},[3447],{"categories":6679},[162],{"categories":6681},[76],{"categories":6683},[137],{"categories":6685},[76],{"categories":6687},[76],{"categories":6689},[76],{"categories":6691},[76],{"categories":6693},[76],{"categories":6695},[123],{"categories":6697},[76],{"categories":6699},[118],{"categories":6701},[76],{"categories":6703},[113],{"categories":6705},[1954],{"categories":6707},[293],{"categories":6709},[113],{"categories":6711},[],{"categories":6713},[126],{"categories":6715},[76],{"categories":6717},[],{"categories":6719},[76],{"categories":6721},[162],{"categories":6723},[123],{"categories":6725},[217],{"categories":6727},[76],{"categories":6729},[123],{"categories":6731},[76],{"categories":6733},[76],{"categories":6735},[76],{"categories":6737},[76],{"categories":6739},[162],{"categories":6741},[],{"categories":6743},[76],{"categories":6745},[123],{"categories":6747},[76],{"categories":6749},[123],{"categories":6751},[123],{"categories":6753},[],{"categories":6755},[76],{"categories":6757},[],{"categories":6759},[162],{"categories":6761},[113],{"categories":6763},[76],{"categories":6765},[217],{"categories":6767},[76],{"categories":6769},[123],{"categories":6771},[162],{"categories":6773},[76],{"categories":6775},[162],{"categories":6777},[],{"categories":6779},[162],{"categories":6781},[76],{"categories":6783},[113],{"categories":6785},[123],{"categories":6787},[484],{"categories":6789},[76],{"categories":6791},[123],{"categories":6793},[76],{"categories":6795},[],{"categories":6797},[137],{"categories":6799},[123],{"categories":6801},[126],{"categories":6803},[123],{"categories":6805},[76],{"categories":6807},[113],{"categories":6809},[76],{"categories":6811},[76],{"categories":6813},[],{"categories":6815},[],{"categories":6817},[],{"categories":6819},[217],{"categories":6821},[76],{"categories":6823},[123],{"categories":6825},[76],{"categories":6827},[76],{"categories":6829},[],{"categories":6831},[],{"categories":6833},[],{"categories":6835},[76],{"categories":6837},[123],{"categories":6839},[217],{"categories":6841},[76],{"categories":6843},[],{"categories":6845},[123],{"categories":6847},[76],{"categories":6849},[76],{"categories":6851},[113],{"categories":6853},[],{"categories":6855},[],{"categories":6857},[76],{"categories":6859},[76],{"categories":6861},[76],{"categories":6863},[123],{"categories":6865},[217],{"categories":6867},[76],{"categories":6869},[162],{"categories":6871},[],{"categories":6873},[76],{"categories":6875},[76],{"categories":6877},[250],{"categories":6879},[162],{"categories":6881},[250],{"categories":6883},[137],{"categories":6885},[140],{"categories":6887},[76],{"categories":6889},[76],{"categories":6891},[],{"categories":6893},[],{"categories":6895},[123],{"categories":6897},[],{"categories":6899},[76],{"categories":6901},[484],{"categories":6903},[76],{"categories":6905},[76],{"categories":6907},[76],{"categories":6909},[76],{"categories":6911},[],{"categories":6913},[123],{"categories":6915},[76],{"categories":6917},[76],{"categories":6919},[],{"categories":6921},[123],{"categories":6923},[123],{"categories":6925},[76],{"categories":6927},[162],{"categories":6929},[76],{"categories":6931},[250],{"categories":6933},[76],{"categories":6935},[123],{"categories":6937},[118],{"categories":6939},[126],{"categories":6941},[76],{"categories":6943},[76],{"categories":6945},[123],{"categories":6947},[140],{"categories":6949},[123],{"categories":6951},[123],{"categories":6953},[],{"categories":6955},[76],{"categories":6957},[123],{"categories":6959},[],{"categories":6961},[76],{"categories":6963},[],{"categories":6965},[162],{"categories":6967},[118],{"categories":6969},[],{"categories":6971},[76],{"categories":6973},[76],{"categories":6975},[76],{"categories":6977},[],{"categories":6979},[123],{"categories":6981},[217],{"categories":6983},[113],{"categories":6985},[76],{"categories":6987},[],{"categories":6989},[118],{"categories":6991},[250],{"categories":6993},[76],{"categories":6995},[137],{"categories":6997},[113],{"categories":6999},[140],{"categories":7001},[118],{"categories":7003},[137],{"categories":7005},[123],{"categories":7007},[137],{"categories":7009},[],{"categories":7011},[76],{"categories":7013},[126],{"categories":7015},[126],{"categories":7017},[76],{"categories":7019},[],{"categories":7021},[123],{"categories":7023},[123],{"categories":7025},[113],{"categories":7027},[217],{"categories":7029},[76],{"categories":7031},[76],{"categories":7033},[113],{"categories":7035},[123],{"categories":7037},[293],{"categories":7039},[76],{"categories":7041},[76],{"categories":7043},[76],{"categories":7045},[76],{"categories":7047},[76],{"categories":7049},[113],{"categories":7051},[76],{"categories":7053},[137],{"categories":7055},[140],{"categories":7057},[123],{"categories":7059},[],{"categories":7061},[76],{"categories":7063},[76],{"categories":7065},[76],{"categories":7067},[137],{"categories":7069},[123],{"categories":7071},[162],{"categories":7073},[137],{"categories":7075},[76],{"categories":7077},[126],{"categories":7079},[],{"categories":7081},[217],{"categories":7083},[137],{"categories":7085},[162],{"categories":7087},[76],{"categories":7089},[76],{"categories":7091},[113],{"categories":7093},[123],{"categories":7095},[76],{"categories":7097},[76],{"categories":7099},[123],{"categories":7101},[126],{"categories":7103},[76],{"categories":7105},[123],{"categories":7107},[76],{"categories":7109},[118],{"categories":7111},[76],{"categories":7113},[123],{"categories":7115},[123,293],{"categories":7117},[76],{"categories":7119},[76],{"categories":7121},[123],{"categories":7123},[137],{"categories":7125},[76],{"categories":7127},[76],{"categories":7129},[76],{"categories":7131},[140],{"categories":7133},[123],{"categories":7135},[250],{"categories":7137},[123],{"categories":7139},[118],{"categories":7141},[],{"categories":7143},[123],{"categories":7145},[76],{"categories":7147},[118],{"categories":7149},[],{"categories":7151},[],{"categories":7153},[76],{"categories":7155},[137],{"categories":7157},[76],{"categories":7159},[76],{"categories":7161},[123],{"categories":7163},[76],{"categories":7165},[140],{"categories":7167},[250],{"categories":7169},[76],{"categories":7171},[76],{"categories":7173},[76],{"categories":7175},[76],{"categories":7177},[123],{"categories":7179},[],{"categories":7181},[123],{"categories":7183},[162],{"categories":7185},[76],{"categories":7187},[123],{"categories":7189},[123],{"categories":7191},[76],{"categories":7193},[],{"categories":7195},[162],{"categories":7197},[137],{"categories":7199},[3447],{"categories":7201},[113],{"categories":7203},[137],{"categories":7205},[76],{"categories":7207},[123],{"categories":7209},[76],{"categories":7211},[76],{"categories":7213},[250],{"categories":7215},[137],{"categories":7217},[140],{"categories":7219},[],{"categories":7221},[162],{"categories":7223},[76],{"categories":7225},[76],{"categories":7227},[],{"categories":7229},[123],{"categories":7231},[76],{"categories":7233},[76],{"categories":7235},[76],{"categories":7237},[76],{"categories":7239},[123],{"categories":7241},[76],{"categories":7243},[76],{"categories":7245},[76],{"categories":7247},[76],{"categories":7249},[126],{"categories":7251},[76],{"categories":7253},[123],{"categories":7255},[76],{"categories":7257},[76],{"categories":7259},[76],{"categories":7261},[76],{"categories":7263},[76],{"categories":7265},[76],{"categories":7267},[76],{"categories":7269},[118],{"categories":7271},[],{"categories":7273},[126],{"categories":7275},[76],{"categories":7277},[162],{"categories":7279},[123],{"categories":7281},[76],{"categories":7283},[137],{"categories":7285},[],{"categories":7287},[137],{"categories":7289},[137],{"categories":7291},[123],{"categories":7293},[137],{"categories":7295},[76],{"categories":7297},[76],{"categories":7299},[76],{"categories":7301},[123],{"categories":7303},[137],{"categories":7305},[76],{"categories":7307},[76],{"categories":7309},[76],{"categories":7311},[123],{"categories":7313},[162],{"categories":7315},[76],{"categories":7317},[76],{"categories":7319},[76],{"categories":7321},[118],{"categories":7323},[76],{"categories":7325},[123],{"categories":7327},[217],{"categories":7329},[],{"categories":7331},[76],{"categories":7333},[76],{"categories":7335},[140],{"categories":7337},[76],{"categories":7339},[123],{"categories":7341},[76],{"categories":7343},[76],{"categories":7345},[],{"categories":7347},[76],{"categories":7349},[76],{"categories":7351},[162],{"categories":7353},[76],{"categories":7355},[76],{"categories":7357},[123],{"categories":7359},[250],{"categories":7361},[],{"categories":7363},[],{"categories":7365},[137],{"categories":7367},[76],{"categories":7369},[76],{"categories":7371},[126],{"categories":7373},[162],{"categories":7375},[76],{"categories":7377},[137],{"categories":7379},[162],{"categories":7381},[76],{"categories":7383},[76],{"categories":7385},[250],{"categories":7387},[140],{"categories":7389},[76],{"categories":7391},[76],{"categories":7393},[113],{"categories":7395},[123],{"categories":7397},[76],{"categories":7399},[76],{"categories":7401},[123],{"categories":7403},[118],{"categories":7405},[123],{"categories":7407},[137],{"categories":7409},[76],{"categories":7411},[118],{"categories":7413},[],{"categories":7415},[76],{"categories":7417},[140],{"categories":7419},[76],{"categories":7421},[76],{"categories":7423},[],{"categories":7425},[162],{"categories":7427},[76],{"categories":7429},[123],{"categories":7431},[140],{"categories":7433},[76],{"categories":7435},[137],{"categories":7437},[137],{"categories":7439},[137],{"categories":7441},[76],{"categories":7443},[123],{"categories":7445},[123],{"categories":7447},[76],{"categories":7449},[123],{"categories":7451},[76],{"categories":7453},[76],{"categories":7455},[217],{"categories":7457},[140],{"categories":7459},[140],{"categories":7461},[],{"categories":7463},[162],{"categories":7465},[76],{"categories":7467},[76],{"categories":7469},[137],{"categories":7471},[],{"categories":7473},[162],{"categories":7475},[162],{"categories":7477},[162],{"categories":7479},[],{"categories":7481},[123],{"categories":7483},[76],{"categories":7485},[],{"categories":7487},[113],{"categories":7489},[118],{"categories":7491},[],{"categories":7493},[76],{"categories":7495},[76],{"categories":7497},[],{"categories":7499},[137],{"categories":7501},[],{"categories":7503},[],{"categories":7505},[],{"categories":7507},[],{"categories":7509},[76],{"categories":7511},[162],{"categories":7513},[],{"categories":7515},[],{"categories":7517},[76],{"categories":7519},[76],{"categories":7521},[76],{"categories":7523},[140],{"categories":7525},[76],{"categories":7527},[140],{"categories":7529},[],{"categories":7531},[140],{"categories":7533},[140],{"categories":7535},[293],{"categories":7537},[123],{"categories":7539},[137],{"categories":7541},[],{"categories":7543},[],{"categories":7545},[140],{"categories":7547},[137],{"categories":7549},[137],{"categories":7551},[137],{"categories":7553},[],{"categories":7555},[113],{"categories":7557},[137],{"categories":7559},[137],{"categories":7561},[113],{"categories":7563},[137],{"categories":7565},[118],{"categories":7567},[137],{"categories":7569},[137],{"categories":7571},[137],{"categories":7573},[140],{"categories":7575},[162],{"categories":7577},[162],{"categories":7579},[76],{"categories":7581},[137],{"categories":7583},[140],{"categories":7585},[293],{"categories":7587},[140],{"categories":7589},[140],{"categories":7591},[140],{"categories":7593},[],{"categories":7595},[118],{"categories":7597},[],{"categories":7599},[293],{"categories":7601},[137],{"categories":7603},[137],{"categories":7605},[137],{"categories":7607},[123],{"categories":7609},[162,118],{"categories":7611},[140],{"categories":7613},[],{"categories":7615},[],{"categories":7617},[140],{"categories":7619},[],{"categories":7621},[140],{"categories":7623},[162],{"categories":7625},[123],{"categories":7627},[],{"categories":7629},[137],{"categories":7631},[76],{"categories":7633},[217],{"categories":7635},[],{"categories":7637},[76],{"categories":7639},[],{"categories":7641},[162],{"categories":7643},[113],{"categories":7645},[140],{"categories":7647},[],{"categories":7649},[137],{"categories":7651},[162],[7653,7731,7827,7921],{"id":7654,"title":7655,"ai":7656,"body":7661,"categories":7710,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":7711,"navigation":92,"path":7721,"published_at":7722,"question":77,"scraped_at":7722,"seo":7723,"sitemap":7724,"source_id":7725,"source_name":98,"source_type":99,"source_url":7715,"stem":7726,"tags":7727,"thumbnail_url":77,"tldr":7728,"tweet":77,"unknown_tags":7729,"__hash__":7730},"summaries\u002Fsummaries\u002Fed706210a63e34b5-pragma-enhancing-long-term-ai-memory-alignment-summary.md","PRAGMA: Enhancing Long-Term AI Memory Alignment",{"provider":7,"model":8,"input_tokens":7657,"output_tokens":7658,"processing_time_ms":7659,"cost_usd":7660},4032,541,3158,0.0018195,{"type":14,"value":7662,"toc":7705},[7663,7667,7670,7674,7677,7698,7702],[17,7664,7666],{"id":7665},"the-challenge-of-lifelong-memory-alignment","The Challenge of Lifelong Memory Alignment",[22,7668,7669],{},"Most current LLM interactions are ephemeral, treating each session as a blank slate. As AI assistants move toward long-term, personalized roles, the ability to maintain 'memory alignment'—the consistency between the model's stored knowledge of a user and its current guidance—becomes critical. The PRAGMA framework addresses the lack of standardized evaluation for these lifelong conversational systems.",[17,7671,7673],{"id":7672},"the-pragma-evaluation-framework","The PRAGMA Evaluation Framework",[22,7675,7676],{},"PRAGMA provides a structured approach to testing whether an AI assistant can effectively retrieve and apply user-specific context over extended periods. The framework focuses on:",[7678,7679,7680,7686,7692],"ul",{},[36,7681,7682,7685],{},[39,7683,7684],{},"Personalized Guidance:"," Assessing whether the model's advice adapts to the user's history, preferences, and past constraints rather than providing generic, static responses.",[36,7687,7688,7691],{},[39,7689,7690],{},"Memory Consistency:"," Evaluating the model's ability to avoid contradictions when referencing past interactions, ensuring that the 'persona' of the assistant remains stable over time.",[36,7693,7694,7697],{},[39,7695,7696],{},"Alignment Metrics:"," Quantifying the delta between the model's internal memory state and the actual requirements of the user's current context. This allows developers to identify where memory retrieval fails or where the model hallucinates past user preferences.",[17,7699,7701],{"id":7700},"practical-implications-for-ai-builders","Practical Implications for AI Builders",[22,7703,7704],{},"For engineers building AI-powered products, PRAGMA highlights that memory is not just a retrieval problem (RAG) but an alignment problem. The research suggests that simply stuffing context into a prompt is insufficient for long-term consistency. Instead, systems must be evaluated on their ability to synthesize historical data into actionable, personalized guidance. By using the PRAGMA benchmarks, developers can move beyond anecdotal testing and quantitatively measure how well their agents retain user context across weeks or months of interaction.",{"title":69,"searchDepth":70,"depth":70,"links":7706},[7707,7708,7709],{"id":7665,"depth":70,"text":7666},{"id":7672,"depth":70,"text":7673},{"id":7700,"depth":70,"text":7701},[76],{"content_references":7712,"triage":7717},[7713],{"type":83,"title":7714,"url":7715,"context":7716},"PRAGMA: Evaluating Personalized Guidance with Memory Alignment in Lifelong Conversations","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.09664","mentioned",{"relevance":7718,"novelty":88,"quality":88,"actionability":88,"composite":7719,"reasoning":7720},5,4.35,"Category: AI & LLMs. The article introduces the PRAGMA framework, which directly addresses a key pain point for AI builders regarding memory alignment in long-term AI interactions. It provides actionable insights on evaluating AI systems, making it highly relevant and practical for developers looking to enhance user experience.","\u002Fsummaries\u002Fed706210a63e34b5-pragma-enhancing-long-term-ai-memory-alignment-summary","2026-09-12 03:10:34",{"title":7655,"description":69},{"loc":7721},"ed706210a63e34b5","summaries\u002Fed706210a63e34b5-pragma-enhancing-long-term-ai-memory-alignment-summary",[102,103,104],"PRAGMA introduces a framework for evaluating how well AI models maintain personalized, consistent guidance across lifelong conversations by measuring memory alignment.",[],"dsZhawcfTW55TskiBekvrf24dUF-Wk07SnftOWbialA",{"id":7732,"title":7733,"ai":7734,"body":7739,"categories":7807,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":7808,"navigation":92,"path":7817,"published_at":7818,"question":77,"scraped_at":7818,"seo":7819,"sitemap":7820,"source_id":7821,"source_name":98,"source_type":99,"source_url":7813,"stem":7822,"tags":7823,"thumbnail_url":77,"tldr":7824,"tweet":77,"unknown_tags":7825,"__hash__":7826},"summaries\u002Fsummaries\u002Fd5873bcc8721a903-narrative-captivity-why-llms-get-stuck-in-multi-tu-summary.md","Narrative Captivity: Why LLMs Get Stuck in Multi-turn Contexts",{"provider":7,"model":8,"input_tokens":7735,"output_tokens":7736,"processing_time_ms":7737,"cost_usd":7738},4039,629,3348,0.00195325,{"type":14,"value":7740,"toc":7802},[7741,7745,7748,7752,7755,7775,7779,7782],[17,7742,7744],{"id":7743},"the-mechanism-of-narrative-captivity","The Mechanism of Narrative Captivity",[22,7746,7747],{},"'Narrative Captivity' describes a phenomenon where Large Language Models (LLMs) become overly conditioned on the established context of a multi-turn conversation. As a dialogue progresses, the model's latent representation becomes increasingly biased toward the initial themes, tone, or narrative arc established in early turns. This 'captivity' creates a feedback loop where the model prioritizes maintaining the internal consistency of the existing story over accurately processing new, potentially contradictory, or task-shifting instructions.",[17,7749,7751],{"id":7750},"impact-on-model-performance-and-flexibility","Impact on Model Performance and Flexibility",[22,7753,7754],{},"This phenomenon significantly degrades performance in complex, multi-turn interactions. When a user attempts to pivot the conversation or introduce a new task, the model struggles to break free from the established 'narrative frame.' This leads to several failure modes:",[7678,7756,7757,7763,7769],{},[36,7758,7759,7762],{},[39,7760,7761],{},"Thematic Inertia:"," The model continues to apply the persona or tone of the previous turns even when the user explicitly requests a change.",[36,7764,7765,7768],{},[39,7766,7767],{},"Contextual Over-fitting:"," The model treats the conversation history as a rigid constraint rather than a flexible context, causing it to ignore new instructions that conflict with the established 'story.'",[36,7770,7771,7774],{},[39,7772,7773],{},"Degraded Reasoning:"," As the model spends more 'attention' on maintaining the narrative thread, its ability to perform objective reasoning or logical tasks decreases, as the narrative constraints act as a form of cognitive noise.",[17,7776,7778],{"id":7777},"mitigating-narrative-bias","Mitigating Narrative Bias",[22,7780,7781],{},"To combat this, the research suggests that developers must move beyond simple context window management. Effective strategies include:",[7678,7783,7784,7790,7796],{},[36,7785,7786,7789],{},[39,7787,7788],{},"Context Resetting:"," Periodically summarizing the conversation to strip away stylistic 'baggage' while retaining core factual information.",[36,7791,7792,7795],{},[39,7793,7794],{},"Instructional Anchoring:"," Using system prompts that explicitly prioritize new instructions over historical context, effectively 'breaking' the narrative chain when a task shift is detected.",[36,7797,7798,7801],{},[39,7799,7800],{},"Dynamic Temperature Scaling:"," Adjusting model parameters during long-running sessions to encourage more divergent thinking when the model shows signs of becoming trapped in a repetitive narrative loop.",{"title":69,"searchDepth":70,"depth":70,"links":7803},[7804,7805,7806],{"id":7743,"depth":70,"text":7744},{"id":7750,"depth":70,"text":7751},{"id":7777,"depth":70,"text":7778},[76],{"content_references":7809,"triage":7815},[7810],{"type":83,"title":7811,"author":7812,"url":7813,"context":7814},"Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation","Various","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.03407","cited",{"relevance":88,"novelty":88,"quality":88,"actionability":89,"composite":90,"reasoning":7816},"Category: AI & LLMs. The article discusses a specific issue ('narrative captivity') that affects LLM performance, which is relevant to AI engineers looking to improve model interactions. It provides insights into mitigating this issue, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002Fd5873bcc8721a903-narrative-captivity-why-llms-get-stuck-in-multi-tu-summary","2026-09-05 03:11:03",{"title":7733,"description":69},{"loc":7817},"d5873bcc8721a903","summaries\u002Fd5873bcc8721a903-narrative-captivity-why-llms-get-stuck-in-multi-tu-summary",[102,104,103],"LLMs often suffer from 'narrative captivity,' where the model becomes trapped in the stylistic or thematic constraints of a conversation history, leading to degraded performance and inability to pivot to new tasks.",[],"l_tI7BG0ywDfaEyTbuxJRjyctnzB18qdAYTJZzzMcQ0",{"id":7828,"title":7829,"ai":7830,"body":7835,"categories":7901,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":7902,"navigation":92,"path":7911,"published_at":7912,"question":77,"scraped_at":7912,"seo":7913,"sitemap":7914,"source_id":7915,"source_name":98,"source_type":99,"source_url":7907,"stem":7916,"tags":7917,"thumbnail_url":77,"tldr":7918,"tweet":77,"unknown_tags":7919,"__hash__":7920},"summaries\u002Fsummaries\u002Fe0938d64f48826bb-llms-in-mental-health-applications-and-ethical-con-summary.md","LLMs in Mental Health: Applications and Ethical Constraints",{"provider":7,"model":8,"input_tokens":7831,"output_tokens":7832,"processing_time_ms":7833,"cost_usd":7834},4128,550,2822,0.001857,{"type":14,"value":7836,"toc":7897},[7837,7841,7844,7870,7874,7877],[17,7838,7840],{"id":7839},"expanding-clinical-and-diagnostic-capabilities","Expanding Clinical and Diagnostic Capabilities",[22,7842,7843],{},"Large Language Models (LLMs) are increasingly integrated into mental health workflows, moving beyond simple chatbots to sophisticated diagnostic and support tools. Key applications include:",[7678,7845,7846,7852,7858,7864],{},[36,7847,7848,7851],{},[39,7849,7850],{},"Social Media Analysis:"," Leveraging LLMs to monitor public discourse and user-generated content to identify early markers of mental health conditions, enabling proactive intervention.",[36,7853,7854,7857],{},[39,7855,7856],{},"Clinical Conversational Agents:"," Deploying AI-driven agents that provide 24\u002F7 support, symptom tracking, and basic cognitive behavioral therapy (CBT) techniques to bridge gaps in therapist availability.",[36,7859,7860,7863],{},[39,7861,7862],{},"Therapy Support Tools:"," Assisting clinicians by automating documentation, summarizing patient sessions, and providing real-time insights during consultations to improve diagnostic accuracy.",[36,7865,7866,7869],{},[39,7867,7868],{},"Multimodal Learning:"," Integrating text with other data modalities (such as voice patterns or physiological signals) to create a more holistic view of a patient's mental state, moving toward more personalized treatment plans.",[17,7871,7873],{"id":7872},"ethical-challenges-and-implementation-risks","Ethical Challenges and Implementation Risks",[22,7875,7876],{},"The transition of LLMs from research environments to clinical practice introduces significant systemic risks that require rigorous management:",[7678,7878,7879,7885,7891],{},[36,7880,7881,7884],{},[39,7882,7883],{},"Data Privacy and Security:"," The sensitive nature of mental health data necessitates strict adherence to HIPAA and other global privacy standards. LLMs must be architected to ensure patient anonymity and prevent unauthorized data leakage.",[36,7886,7887,7890],{},[39,7888,7889],{},"Algorithmic Bias:"," Models trained on non-representative datasets risk perpetuating existing healthcare disparities, potentially leading to misdiagnosis or inadequate support for marginalized populations.",[36,7892,7893,7896],{},[39,7894,7895],{},"Human-in-the-Loop Necessity:"," Despite the efficiency gains, LLMs lack the empathy and nuanced judgment required for high-stakes psychiatric care. The consensus is that these tools should function as decision-support systems rather than autonomous diagnostic agents, ensuring that a qualified professional always maintains final oversight of patient care.",{"title":69,"searchDepth":70,"depth":70,"links":7898},[7899,7900],{"id":7839,"depth":70,"text":7840},{"id":7872,"depth":70,"text":7873},[76],{"content_references":7903,"triage":7908},[7904],{"type":83,"title":7905,"author":7812,"publisher":7906,"url":7907,"context":86},"Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges","Journal of Industrial Integration and Management","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.18080",{"relevance":89,"novelty":89,"quality":88,"actionability":70,"composite":7909,"reasoning":7910},3.05,"Category: AI & LLMs. The article discusses the applications of LLMs in mental health, which is relevant to the AI & LLMs category, but it primarily focuses on theoretical implications rather than practical applications for product builders. While it presents some new insights into ethical challenges, it lacks specific actionable steps that the audience can implement.","\u002Fsummaries\u002Fe0938d64f48826bb-llms-in-mental-health-applications-and-ethical-con-summary","2026-08-21 03:13:10",{"title":7829,"description":69},{"loc":7911},"e0938d64f48826bb","summaries\u002Fe0938d64f48826bb-llms-in-mental-health-applications-and-ethical-con-summary",[102,103,104],"Large Language Models are transforming mental health through automated screening and clinical support, but their deployment faces critical hurdles in data privacy, algorithmic bias, and the necessity of human-in-the-loop oversight.",[],"ii_qSp6p1QPTwBj8GBiCrpOzbL0ylU6IzB02_J1qwv8",{"id":7922,"title":7923,"ai":7924,"body":7929,"categories":7977,"created_at":77,"date_modified":77,"description":69,"extension":78,"faq":77,"featured":79,"kicker_label":77,"meta":7978,"navigation":92,"path":7985,"published_at":7986,"question":77,"scraped_at":7986,"seo":7987,"sitemap":7988,"source_id":7989,"source_name":98,"source_type":99,"source_url":7982,"stem":7990,"tags":7991,"thumbnail_url":77,"tldr":7992,"tweet":77,"unknown_tags":7993,"__hash__":7994},"summaries\u002Fsummaries\u002F43a9e73a734e0eb1-knowsim-evaluating-llm-calibration-via-adaptive-us-summary.md","KnowSim: Evaluating LLM Calibration via Adaptive User Simulators",{"provider":7,"model":8,"input_tokens":7925,"output_tokens":7926,"processing_time_ms":7927,"cost_usd":7928},4033,600,4201,0.0010096,{"type":14,"value":7930,"toc":7972},[7931,7935,7938,7942,7945,7965,7969],[17,7932,7934],{"id":7933},"evaluating-information-calibration-through-interaction","Evaluating Information Calibration through Interaction",[22,7936,7937],{},"The core challenge in deploying LLM assistants is ensuring they correctly calibrate their output based on the user's existing knowledge. Traditional benchmarks often rely on static datasets that fail to capture the nuances of a multi-turn conversation where an assistant must adjust its depth and tone based on user feedback. KnowSim addresses this by utilizing user simulators that learn and adapt, allowing researchers to evaluate how effectively an assistant identifies and responds to a user's information gaps or misconceptions.",[17,7939,7941],{"id":7940},"the-role-of-learning-based-user-simulators","The Role of Learning-Based User Simulators",[22,7943,7944],{},"KnowSim shifts the evaluation paradigm from static evaluation to a dynamic, iterative process. By training simulators to mimic human interaction patterns, the framework can generate diverse, realistic user personas that challenge an assistant's ability to maintain calibration over time. This approach allows for:",[7678,7946,7947,7953,7959],{},[36,7948,7949,7952],{},[39,7950,7951],{},"Dynamic Adaptation:"," The simulator adjusts its responses based on the assistant's previous turns, simulating a real-world feedback loop.",[36,7954,7955,7958],{},[39,7956,7957],{},"Calibration Metrics:"," The framework measures how accurately the assistant detects when a user is confused, over-informed, or misinformed, and how it adjusts its subsequent responses to align with the user's actual knowledge state.",[36,7960,7961,7964],{},[39,7962,7963],{},"Scalable Testing:"," By automating the user side of the interaction, researchers can run thousands of simulated conversations to identify edge cases where the assistant's calibration fails, which would be prohibitively expensive and slow with human-in-the-loop testing.",[17,7966,7968],{"id":7967},"implications-for-assistant-design","Implications for Assistant Design",[22,7970,7971],{},"This research highlights that effective AI assistance is not just about factual accuracy, but about the social and cognitive alignment between the model and the user. The KnowSim framework provides a structured way to quantify this alignment, suggesting that future assistant development should prioritize 'calibration-aware' training objectives. By treating the user as a dynamic variable rather than a static recipient of information, developers can build systems that are significantly more helpful in complex, multi-step problem-solving scenarios.",{"title":69,"searchDepth":70,"depth":70,"links":7973},[7974,7975,7976],{"id":7933,"depth":70,"text":7934},{"id":7940,"depth":70,"text":7941},{"id":7967,"depth":70,"text":7968},[76],{"content_references":7979,"triage":7983},[7980],{"type":83,"title":7981,"url":7982,"context":86},"KnowSim: Evaluating Information Calibration in LLM Assistants with User Simulators that Learn","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.17150",{"relevance":88,"novelty":88,"quality":88,"actionability":89,"composite":90,"reasoning":7984},"Category: AI & LLMs. The article introduces a novel framework for evaluating LLM calibration, addressing a specific pain point in AI assistant development by moving beyond static benchmarks. It provides insights into dynamic testing methods, which could inform product builders about improving AI interactions, though it lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F43a9e73a734e0eb1-knowsim-evaluating-llm-calibration-via-adaptive-us-summary","2026-08-20 03:12:40",{"title":7923,"description":69},{"loc":7985},"43a9e73a734e0eb1","summaries\u002F43a9e73a734e0eb1-knowsim-evaluating-llm-calibration-via-adaptive-us-summary",[102,104,103],"KnowSim introduces a framework using learning-based user simulators to evaluate how well LLM assistants calibrate their responses to user knowledge, moving beyond static benchmarks to dynamic, interactive testing.",[],"-opxiuvsmlIodI6MKmmqZevKFliFm_sgQFNIzJQ3x18"]