[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-a25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary":3,"summaries-facets-categories":103,"summary-related-a25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary":6521},{"id":4,"title":5,"ai":6,"body":13,"categories":69,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":74,"navigation":87,"path":88,"published_at":89,"question":71,"scraped_at":89,"seo":90,"sitemap":91,"source_id":92,"source_name":93,"source_type":94,"source_url":79,"stem":95,"tags":96,"thumbnail_url":71,"tldr":100,"tweet":71,"unknown_tags":101,"__hash__":102},"summaries\u002Fsummaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary.md","Schema-Aware Localisation (SAL) for NL2SQL Reliability",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",4059,570,3511,0.00186975,{"type":14,"value":15,"toc":62},"minimark",[16,21,25,29,32,55,59],[17,18,20],"h2",{"id":19},"the-problem-hallucinations-in-nl2sql","The Problem: Hallucinations in NL2SQL",[22,23,24],"p",{},"Natural Language to SQL (NL2SQL) systems often struggle with accuracy when mapping user intent to complex database schemas. The primary failure modes include referencing non-existent tables or columns (hallucination) and misinterpreting schema relationships. Standard prompt engineering often fails to enforce strict adherence to the underlying database structure, leading to broken queries that fail at execution time.",[17,26,28],{"id":27},"the-sal-approach-live-schema-grounding","The SAL Approach: Live Schema Grounding",[22,30,31],{},"Schema-Aware Localisation (SAL) introduces a framework for real-time validation of SQL generation. Instead of relying solely on the LLM's internal knowledge of the schema, SAL forces the model to perform a 'grounding' step. This process involves:",[33,34,35,43,49],"ul",{},[36,37,38,42],"li",{},[39,40,41],"strong",{},"Live Schema Mapping:"," The system dynamically injects relevant schema metadata into the context window, ensuring the model only references valid entities.",[36,44,45,48],{},[39,46,47],{},"Hallucination Validation:"," SAL implements a secondary validation layer that checks the generated SQL against the actual database schema before execution. If the model attempts to query a column that does not exist or uses an incorrect join path, the system flags the error.",[36,50,51,54],{},[39,52,53],{},"Iterative Correction:"," By identifying these schema-level mismatches, the system can provide targeted feedback to the LLM, allowing it to refine the query based on the specific constraints of the target database.",[17,56,58],{"id":57},"impact-on-system-reliability","Impact on System Reliability",[22,60,61],{},"By moving schema awareness from a static prompt instruction to an active validation loop, SAL significantly reduces the rate of execution errors. This approach is particularly effective for 'Oracle' NL2SQL scenarios, where the system must be highly precise. The framework demonstrates that grounding the model in the actual database environment—rather than relying on semantic similarity alone—is the most effective way to ensure that generated code is both syntactically correct and logically sound according to the database's specific architecture.",{"title":63,"searchDepth":64,"depth":64,"links":65},"",2,[66,67,68],{"id":19,"depth":64,"text":20},{"id":27,"depth":64,"text":28},{"id":57,"depth":64,"text":58},[70],"AI & LLMs",null,"md",false,{"content_references":75,"triage":81},[76],{"type":77,"title":78,"url":79,"context":80},"paper","Schema-Aware Localisation (SAL): Live Schema Grounding and Hallucination Validation for Oracle NL2SQL","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.22572","cited",{"relevance":82,"novelty":83,"quality":83,"actionability":84,"composite":85,"reasoning":86},5,4,3,4.15,"Category: AI & LLMs. The article presents a novel approach to improving NL2SQL systems by introducing Schema-Aware Localisation (SAL), which addresses the common issue of hallucinations in SQL generation. It provides a detailed explanation of how SAL enhances reliability through real-time schema grounding, making it highly relevant for developers looking to implement AI-powered database interactions.",true,"\u002Fsummaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary","2026-07-29 03:12:18",{"title":5,"description":63},{"loc":88},"a25c36d1d24fa284","arXiv cs.AI","article","summaries\u002Fa25c36d1d24fa284-schema-aware-localisation-sal-for-nl2sql-reliabili-summary",[97,98,99],"llm","ai-tools","data-science","Schema-Aware Localisation (SAL) improves NL2SQL accuracy by grounding natural language queries directly against database schemas in real-time, effectively mitigating hallucinations and invalid SQL generation.",[],"Ij6T-jqXetksd27rOOlEM6LDhfREDfXmHsKLnnWobgw",[104,106,109,111,114,116,119,122,124,126,128,131,133,135,137,139,142,144,146,148,150,153,156,158,160,162,164,166,168,170,172,174,176,178,180,182,184,186,188,190,192,194,196,199,201,203,205,207,209,211,213,215,217,219,221,223,225,228,230,232,234,236,238,240,242,244,246,248,250,252,254,256,258,260,262,265,267,269,271,273,275,277,279,281,283,285,287,289,291,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336,338,340,342,344,346,348,350,352,354,357,359,361,363,365,367,369,371,373,375,377,380,382,384,386,388,390,392,394,396,398,400,402,404,406,408,410,413,415,417,419,421,423,425,427,429,431,433,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470,472,474,476,478,480,482,484,486,488,491,493,495,498,500,502,504,506,508,510,512,514,516,518,520,522,524,527,529,531,533,535,537,539,541,543,545,547,549,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,604,606,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,827,829,831,833,835,838,840,842,844,846,848,850,852,854,856,858,860,863,865,867,869,871,873,875,877,879,881,883,885,887,889,891,893,895,897,899,901,903,905,907,909,911,913,915,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1200,1202,1204,1206,1208,1210,1212,1214,1216,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248,1250,1252,1254,1256,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1393,1395,1397,1399,1401,1403,1405,1407,1409,1411,1413,1415,1417,1419,1421,1423,1425,1427,1429,1431,1433,1435,1437,1439,1441,1443,1445,1447,1449,1451,1453,1455,1457,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1528,1530,1532,1534,1536,1538,1540,1542,1544,1546,1548,1550,1552,1554,1556,1558,1560,1562,1564,1566,1568,1570,1572,1574,1576,1578,1580,1582,1584,1586,1588,1590,1592,1594,1596,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1675,1677,1679,1681,1683,1685,1687,1689,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1756,1758,1760,1762,1764,1766,1768,1770,1772,1774,1776,1778,1780,1782,1784,1786,1788,1790,1792,1794,1796,1798,1800,1802,1804,1806,1808,1810,1812,1814,1816,1818,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2147,2149,2151,2153,2155,2157,2159,2161,2163,2165,2167,2169,2171,2173,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2260,2262,2264,2266,2268,2270,2272,2274,2276,2278,2280,2282,2284,2286,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2388,2390,2392,2394,2396,2398,2400,2402,2404,2406,2408,2410,2412,2414,2416,2418,2420,2422,2424,2426,2428,2430,2432,2434,2436,2438,2440,2442,2444,2446,2448,2450,2452,2454,2456,2458,2460,2462,2464,2466,2468,2470,2472,2474,2476,2478,2480,2482,2484,2486,2488,2490,2492,2494,2496,2498,2500,2502,2504,2506,2508,2510,2512,2514,2516,2518,2520,2522,2524,2526,2528,2530,2532,2534,2536,2538,2540,2542,2544,2546,2548,2550,2552,2554,2556,2558,2560,2562,2564,2566,2568,2570,2572,2574,2576,2578,2580,2582,2584,2586,2588,2590,2592,2594,2596,2598,2600,2602,2604,2606,2608,2610,2612,2614,2616,2618,2620,2622,2624,2626,2628,2630,2632,2634,2636,2638,2640,2642,2644,2646,2648,2650,2652,2654,2656,2658,2660,2662,2664,2666,2668,2670,2672,2674,2676,2678,2680,2682,2684,2686,2688,2690,2692,2694,2696,2698,2700,2702,2704,2706,2708,2710,2712,2714,2716,2718,2720,2722,2724,2726,2728,2730,2732,2734,2736,2738,2740,2742,2744,2746,2748,2750,2752,2754,2756,2758,2760,2762,2764,2766,2768,2770,2772,2774,2776,2778,2780,2782,2784,2786,2788,2790,2792,2794,2796,2798,2800,2802,2804,2806,2808,2810,2812,2814,2816,2818,2820,2822,2824,2826,2828,2830,2832,2834,2836,2838,2840,2842,2844,2846,2848,2850,2852,2854,2856,2858,2860,2862,2864,2866,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2892,2894,2896,2898,2900,2902,2904,2906,2908,2910,2912,2914,2916,2918,2920,2922,2924,2926,2928,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3001,3003,3005,3007,3009,3011,3013,3015,3017,3019,3021,3023,3025,3027,3029,3031,3033,3035,3037,3039,3041,3043,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3122,3124,3126,3128,3130,3132,3134,3136,3138,3140,3142,3144,3146,3148,3150,3152,3154,3156,3158,3160,3162,3164,3166,3168,3170,3172,3174,3176,3178,3180,3182,3184,3186,3188,3190,3192,3194,3196,3198,3200,3202,3204,3206,3208,3210,3212,3214,3216,3218,3220,3222,3224,3226,3228,3230,3232,3234,3236,3238,3240,3242,3244,3246,3248,3250,3252,3254,3256,3258,3260,3262,3264,3266,3268,3270,3272,3274,3276,3278,3280,3282,3284,3286,3288,3290,3292,3294,3296,3298,3300,3302,3304,3306,3308,3310,3312,3314,3316,3318,3320,3322,3324,3326,3328,3330,3332,3334,3336,3338,3340,3342,3344,3346,3348,3350,3352,3354,3356,3358,3360,3362,3364,3366,3368,3370,3372,3374,3376,3378,3380,3382,3384,3386,3388,3390,3392,3394,3396,3398,3400,3402,3404,3406,3408,3410,3412,3414,3416,3418,3420,3422,3424,3426,3428,3430,3432,3434,3436,3438,3440,3442,3444,3446,3448,3450,3452,3454,3456,3458,3460,3462,3464,3466,3468,3470,3472,3474,3476,3478,3480,3482,3484,3486,3488,3490,3492,3494,3496,3498,3500,3502,3504,3506,3508,3510,3512,3514,3516,3518,3520,3522,3524,3526,3528,3530,3532,3534,3536,3538,3540,3542,3544,3546,3548,3550,3552,3554,3556,3558,3560,3562,3564,3566,3568,3570,3572,3574,3576,3578,3580,3582,3584,3586,3588,3590,3592,3594,3596,3598,3600,3602,3604,3606,3608,3610,3612,3614,3616,3618,3620,3622,3624,3626,3628,3630,3632,3634,3636,3638,3640,3642,3644,3646,3648,3650,3652,3654,3656,3658,3660,3662,3664,3666,3668,3670,3672,3674,3676,3678,3680,3682,3684,3686,3688,3690,3692,3694,3696,3698,3700,3702,3704,3706,3708,3710,3712,3714,3716,3718,3720,3722,3724,3726,3728,3730,3732,3734,3736,3738,3740,3742,3744,3746,3748,3750,3752,3754,3756,3758,3760,3762,3764,3766,3768,3770,3772,3774,3776,3778,3780,3782,3784,3786,3788,3790,3792,3794,3796,3798,3800,3802,3804,3806,3808,3810,3812,3814,3816,3818,3820,3822,3824,3826,3828,3830,3832,3834,3836,3838,3840,3842,3844,3846,3848,3850,3852,3854,3856,3858,3860,3862,3864,3866,3868,3870,3872,3874,3876,3878,3880,3882,3884,3886,3888,3890,3892,3894,3896,3898,3900,3902,3904,3906,3908,3910,3912,3914,3916,3918,3920,3922,3924,3926,3928,3930,3932,3934,3936,3938,3940,3942,3944,3946,3948,3950,3952,3954,3956,3958,3960,3962,3964,3966,3968,3970,3972,3974,3976,3978,3980,3982,3984,3986,3988,3990,3992,3994,3996,3998,4000,4002,4004,4006,4008,4010,4012,4014,4016,4018,4020,4022,4024,4026,4028,4030,4032,4034,4036,4038,4040,4042,4044,4046,4048,4050,4052,4054,4056,4058,4060,4062,4064,4066,4068,4070,4072,4074,4076,4078,4080,4082,4084,4086,4088,4090,4092,4094,4096,4098,4100,4102,4104,4106,4108,4110,4112,4114,4116,4118,4120,4122,4124,4126,4128,4130,4132,4134,4136,4138,4140,4142,4144,4146,4148,4150,4152,4154,4156,4158,4160,4162,4164,4166,4168,4170,4172,4174,4176,4178,4180,4182,4184,4186,4188,4190,4192,4194,4196,4198,4200,4202,4204,4206,4208,4210,4212,4214,4216,4218,4220,4222,4224,4226,4228,4230,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4345,4347,4349,4351,4353,4355,4357,4359,4361,4363,4365,4367,4369,4371,4373,4375,4377,4379,4381,4383,4385,4387,4389,4391,4393,4395,4397,4399,4401,4403,4405,4407,4409,4411,4413,4415,4417,4419,4421,4423,4425,4427,4429,4431,4433,4435,4437,4439,4441,4443,4445,4447,4449,4451,4453,4455,4457,4459,4461,4463,4465,4467,4469,4471,4473,4475,4477,4479,4481,4483,4485,4487,4489,4491,4493,4495,4497,4499,4501,4503,4505,4507,4509,4511,4513,4515,4517,4519,4521,4523,4525,4527,4529,4531,4533,4535,4537,4539,4541,4543,4545,4547,4549,4551,4553,4555,4557,4559,4561,4563,4565,4567,4569,4571,4573,4575,4577,4579,4581,4583,4585,4587,4589,4591,4593,4595,4597,4599,4601,4603,4605,4607,4609,4611,4613,4615,4617,4619,4621,4623,4625,4627,4629,4631,4633,4635,4637,4639,4641,4643,4645,4647,4649,4651,4653,4655,4657,4659,4661,4663,4665,4667,4669,4671,4673,4675,4677,4679,4681,4683,4685,4687,4689,4691,4693,4695,4697,4699,4701,4703,4705,4707,4709,4711,4713,4715,4717,4719,4721,4723,4725,4727,4729,4731,4733,4735,4737,4739,4741,4743,4745,4747,4749,4751,4753,4755,4757,4759,4761,4763,4765,4767,4769,4771,4773,4775,4777,4779,4781,4783,4785,4787,4789,4791,4793,4795,4797,4799,4801,4803,4805,4807,4809,4811,4813,4815,4817,4819,4821,4823,4825,4827,4829,4831,4833,4835,4837,4839,4841,4843,4845,4847,4849,4851,4853,4855,4857,4859,4861,4863,4865,4867,4869,4871,4873,4875,4877,4879,4881,4883,4885,4887,4889,4891,4893,4895,4897,4899,4901,4903,4905,4907,4909,4911,4913,4915,4917,4919,4921,4923,4925,4927,4929,4931,4933,4935,4937,4939,4941,4943,4945,4947,4949,4951,4953,4955,4957,4959,4961,4963,4965,4967,4969,4971,4973,4975,4977,4979,4981,4983,4985,4987,4989,4991,4993,4995,4997,4999,5001,5003,5005,5007,5009,5011,5013,5015,5017,5019,5021,5023,5025,5027,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5162,5164,5166,5168,5170,5172,5174,5176,5178,5180,5182,5184,5186,5188,5190,5192,5194,5196,5198,5200,5202,5204,5206,5208,5210,5212,5214,5216,5218,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5361,5363,5365,5367,5369,5371,5373,5375,5377,5379,5381,5383,5385,5387,5389,5391,5393,5395,5397,5399,5401,5403,5405,5407,5409,5411,5413,5415,5417,5419,5421,5423,5425,5427,5429,5431,5433,5435,5437,5439,5441,5443,5445,5447,5449,5451,5453,5455,5457,5459,5461,5463,5465,5467,5469,5471,5473,5475,5477,5479,5481,5483,5485,5487,5489,5491,5493,5495,5497,5499,5501,5503,5505,5507,5509,5511,5513,5515,5517,5519,5521,5523,5525,5527,5529,5531,5533,5535,5537,5539,5541,5543,5545,5547,5549,5551,5553,5555,5557,5559,5561,5563,5565,5567,5569,5571,5573,5575,5577,5579,5581,5583,5585,5587,5589,5591,5593,5595,5597,5599,5601,5603,5605,5607,5609,5611,5613,5615,5617,5619,5621,5623,5625,5627,5629,5631,5633,5635,5637,5639,5641,5643,5645,5647,5649,5651,5653,5655,5657,5659,5661,5663,5665,5667,5669,5671,5673,5675,5677,5679,5681,5683,5685,5687,5689,5691,5693,5695,5697,5699,5701,5703,5705,5707,5709,5711,5713,5715,5717,5719,5721,5723,5725,5727,5729,5731,5733,5735,5737,5739,5741,5743,5745,5747,5749,5751,5753,5755,5757,5759,5761,5763,5765,5767,5769,5771,5773,5775,5777,5779,5781,5783,5785,5787,5789,5791,5793,5795,5797,5799,5801,5803,5805,5807,5809,5811,5813,5815,5817,5819,5821,5823,5825,5827,5829,5831,5833,5835,5837,5839,5841,5843,5845,5847,5849,5851,5853,5855,5857,5859,5861,5863,5865,5867,5869,5871,5873,5875,5877,5879,5881,5883,5885,5887,5889,5891,5893,5895,5897,5899,5901,5903,5905,5907,5909,5911,5913,5915,5917,5919,5921,5923,5925,5927,5929,5931,5933,5935,5937,5939,5941,5943,5945,5947,5949,5951,5953,5955,5957,5959,5961,5963,5965,5967,5969,5971,5973,5975,5977,5979,5981,5983,5985,5987,5989,5991,5993,5995,5997,5999,6001,6003,6005,6007,6009,6011,6013,6015,6017,6019,6021,6023,6025,6027,6029,6031,6033,6035,6037,6039,6041,6043,6045,6047,6049,6051,6053,6055,6057,6059,6061,6063,6065,6067,6069,6071,6073,6075,6077,6079,6081,6083,6085,6087,6089,6091,6093,6095,6097,6099,6101,6103,6105,6107,6109,6111,6113,6115,6117,6119,6121,6123,6125,6127,6129,6131,6133,6135,6137,6139,6141,6143,6145,6147,6149,6151,6153,6155,6157,6159,6161,6163,6165,6167,6169,6171,6173,6175,6177,6179,6181,6183,6185,6187,6189,6191,6193,6195,6197,6199,6201,6203,6205,6207,6209,6211,6213,6215,6217,6219,6221,6223,6225,6227,6229,6231,6233,6235,6237,6239,6241,6243,6245,6247,6249,6251,6253,6255,6257,6259,6261,6263,6265,6267,6269,6271,6273,6275,6277,6279,6281,6283,6285,6287,6289,6291,6293,6295,6297,6299,6301,6303,6305,6307,6309,6311,6313,6315,6317,6319,6321,6323,6325,6327,6329,6331,6333,6335,6337,6339,6341,6343,6345,6347,6349,6351,6353,6355,6357,6359,6361,6363,6365,6367,6369,6371,6373,6375,6377,6379,6381,6383,6385,6387,6389,6391,6393,6395,6397,6399,6401,6403,6405,6407,6409,6411,6413,6415,6417,6419,6421,6423,6425,6427,6429,6431,6433,6435,6437,6439,6441,6443,6445,6447,6449,6451,6453,6455,6457,6459,6461,6463,6465,6467,6469,6471,6473,6475,6477,6479,6481,6483,6485,6487,6489,6491,6493,6495,6497,6499,6501,6503,6505,6507,6509,6511,6513,6515,6517,6519],{"categories":105},[70],{"categories":107},[108],"Developer Productivity",{"categories":110},[70],{"categories":112},[113],"Business & SaaS",{"categories":115},[70],{"categories":117},[118],"AI Automation",{"categories":120},[121],"Product Strategy",{"categories":123},[70],{"categories":125},[108],{"categories":127},[118],{"categories":129},[130],"Software Engineering",{"categories":132},[70],{"categories":134},[113],{"categories":136},[],{"categories":138},[70],{"categories":140},[141],"Inference & Serving",{"categories":143},[70],{"categories":145},[70],{"categories":147},[118],{"categories":149},[],{"categories":151},[152],"AI News & Trends",{"categories":154},[155],"Data Science & Visualization",{"categories":157},[118],{"categories":159},[70],{"categories":161},[70],{"categories":163},[113],{"categories":165},[108],{"categories":167},[70],{"categories":169},[118],{"categories":171},[152],{"categories":173},[118],{"categories":175},[118],{"categories":177},[70],{"categories":179},[118],{"categories":181},[70],{"categories":183},[70],{"categories":185},[70],{"categories":187},[152],{"categories":189},[70],{"categories":191},[70],{"categories":193},[70],{"categories":195},[],{"categories":197},[198],"Design & Frontend",{"categories":200},[155],{"categories":202},[152],{"categories":204},[70],{"categories":206},[70],{"categories":208},[70],{"categories":210},[],{"categories":212},[70],{"categories":214},[70],{"categories":216},[118],{"categories":218},[130],{"categories":220},[70],{"categories":222},[118],{"categories":224},[70],{"categories":226},[227],"Marketing & Growth",{"categories":229},[198],{"categories":231},[70],{"categories":233},[118],{"categories":235},[70],{"categories":237},[130],{"categories":239},[],{"categories":241},[],{"categories":243},[198],{"categories":245},[70],{"categories":247},[118],{"categories":249},[108],{"categories":251},[130],{"categories":253},[118],{"categories":255},[198],{"categories":257},[121],{"categories":259},[70],{"categories":261},[130],{"categories":263},[264],"DevOps & Cloud",{"categories":266},[118],{"categories":268},[121],{"categories":270},[152],{"categories":272},[70],{"categories":274},[],{"categories":276},[70],{"categories":278},[70],{"categories":280},[],{"categories":282},[118],{"categories":284},[130],{"categories":286},[],{"categories":288},[130],{"categories":290},[70],{"categories":292},[293],"Governance & Standards",{"categories":295},[113],{"categories":297},[],{"categories":299},[],{"categories":301},[70],{"categories":303},[70],{"categories":305},[118],{"categories":307},[70],{"categories":309},[70],{"categories":311},[118],{"categories":313},[70],{"categories":315},[70],{"categories":317},[70],{"categories":319},[],{"categories":321},[130],{"categories":323},[],{"categories":325},[],{"categories":327},[70],{"categories":329},[130],{"categories":331},[],{"categories":333},[130],{"categories":335},[70],{"categories":337},[70],{"categories":339},[227],{"categories":341},[70],{"categories":343},[70],{"categories":345},[198],{"categories":347},[198],{"categories":349},[70],{"categories":351},[130],{"categories":353},[118],{"categories":355},[356],"GovTech & Public-Sector Adoption",{"categories":358},[130],{"categories":360},[70],{"categories":362},[70],{"categories":364},[70],{"categories":366},[118],{"categories":368},[118],{"categories":370},[155],{"categories":372},[70],{"categories":374},[152],{"categories":376},[118],{"categories":378},[379],"Legal AI Tools",{"categories":381},[70],{"categories":383},[118],{"categories":385},[70],{"categories":387},[227],{"categories":389},[118],{"categories":391},[121],{"categories":393},[70],{"categories":395},[130],{"categories":397},[356],{"categories":399},[],{"categories":401},[118],{"categories":403},[],{"categories":405},[113],{"categories":407},[118],{"categories":409},[118],{"categories":411},[412],"RAG & Retrieval",{"categories":414},[113],{"categories":416},[70],{"categories":418},[130],{"categories":420},[130],{"categories":422},[264],{"categories":424},[198],{"categories":426},[118],{"categories":428},[70],{"categories":430},[70],{"categories":432},[],{"categories":434},[435],"Agents & Orchestration",{"categories":437},[130],{"categories":439},[70],{"categories":441},[],{"categories":443},[118],{"categories":445},[113],{"categories":447},[],{"categories":449},[70],{"categories":451},[],{"categories":453},[70],{"categories":455},[108],{"categories":457},[130],{"categories":459},[113],{"categories":461},[70],{"categories":463},[118],{"categories":465},[70],{"categories":467},[152],{"categories":469},[70],{"categories":471},[],{"categories":473},[70],{"categories":475},[],{"categories":477},[130],{"categories":479},[70],{"categories":481},[155],{"categories":483},[],{"categories":485},[70],{"categories":487},[198],{"categories":489},[490],"Models & Frontier Labs",{"categories":492},[],{"categories":494},[198],{"categories":496},[497],"Regulation & Governance of AI",{"categories":499},[118],{"categories":501},[],{"categories":503},[70],{"categories":505},[70],{"categories":507},[118],{"categories":509},[152],{"categories":511},[113],{"categories":513},[70],{"categories":515},[],{"categories":517},[130],{"categories":519},[118],{"categories":521},[70],{"categories":523},[121],{"categories":525},[526],"AI Policy & Regulation",{"categories":528},[],{"categories":530},[70],{"categories":532},[118],{"categories":534},[121],{"categories":536},[118],{"categories":538},[70],{"categories":540},[70],{"categories":542},[70],{"categories":544},[118],{"categories":546},[],{"categories":548},[155],{"categories":550},[551],"Evals & Reliability",{"categories":553},[70],{"categories":555},[70],{"categories":557},[],{"categories":559},[108],{"categories":561},[356],{"categories":563},[526],{"categories":565},[70],{"categories":567},[113],{"categories":569},[70],{"categories":571},[118],{"categories":573},[70],{"categories":575},[118],{"categories":577},[435],{"categories":579},[70],{"categories":581},[130],{"categories":583},[70],{"categories":585},[],{"categories":587},[],{"categories":589},[70],{"categories":591},[356],{"categories":593},[70],{"categories":595},[70],{"categories":597},[70],{"categories":599},[],{"categories":601},[198],{"categories":603},[],{"categories":605},[70],{"categories":607},[],{"categories":609},[118],{"categories":611},[70],{"categories":613},[198],{"categories":615},[],{"categories":617},[70],{"categories":619},[70],{"categories":621},[155],{"categories":623},[118],{"categories":625},[70],{"categories":627},[113],{"categories":629},[118],{"categories":631},[70],{"categories":633},[70],{"categories":635},[130],{"categories":637},[198],{"categories":639},[70],{"categories":641},[118],{"categories":643},[],{"categories":645},[130],{"categories":647},[118],{"categories":649},[155],{"categories":651},[],{"categories":653},[70],{"categories":655},[152],{"categories":657},[70],{"categories":659},[],{"categories":661},[70],{"categories":663},[70],{"categories":665},[70],{"categories":667},[113,227],{"categories":669},[],{"categories":671},[70],{"categories":673},[70],{"categories":675},[118],{"categories":677},[70],{"categories":679},[],{"categories":681},[],{"categories":683},[70],{"categories":685},[198],{"categories":687},[70],{"categories":689},[],{"categories":691},[70],{"categories":693},[264],{"categories":695},[],{"categories":697},[118],{"categories":699},[152],{"categories":701},[70],{"categories":703},[70],{"categories":705},[198],{"categories":707},[],{"categories":709},[152],{"categories":711},[70],{"categories":713},[141],{"categories":715},[70],{"categories":717},[70],{"categories":719},[118],{"categories":721},[152],{"categories":723},[490],{"categories":725},[70],{"categories":727},[227],{"categories":729},[],{"categories":731},[118],{"categories":733},[113],{"categories":735},[130],{"categories":737},[70],{"categories":739},[118],{"categories":741},[],{"categories":743},[70,264],{"categories":745},[70],{"categories":747},[70],{"categories":749},[70],{"categories":751},[118],{"categories":753},[70,130],{"categories":755},[155],{"categories":757},[70],{"categories":759},[70],{"categories":761},[130],{"categories":763},[70],{"categories":765},[118],{"categories":767},[526],{"categories":769},[227],{"categories":771},[70],{"categories":773},[118],{"categories":775},[70],{"categories":777},[70],{"categories":779},[118],{"categories":781},[],{"categories":783},[118],{"categories":785},[70],{"categories":787},[70],{"categories":789},[118],{"categories":791},[70],{"categories":793},[70,113],{"categories":795},[70],{"categories":797},[113],{"categories":799},[],{"categories":801},[198],{"categories":803},[198],{"categories":805},[70],{"categories":807},[],{"categories":809},[],{"categories":811},[70],{"categories":813},[152],{"categories":815},[],{"categories":817},[108],{"categories":819},[70],{"categories":821},[130],{"categories":823},[70],{"categories":825},[826],"Generative UI & Design-to-Code",{"categories":828},[70],{"categories":830},[70],{"categories":832},[198],{"categories":834},[70],{"categories":836},[837],"Algorithmic Accountability",{"categories":839},[118],{"categories":841},[130],{"categories":843},[152],{"categories":845},[198],{"categories":847},[70],{"categories":849},[],{"categories":851},[121],{"categories":853},[70],{"categories":855},[70],{"categories":857},[70],{"categories":859},[118],{"categories":861},[862],"MLOps & Infrastructure",{"categories":864},[70],{"categories":866},[70],{"categories":868},[70],{"categories":870},[70],{"categories":872},[70],{"categories":874},[152],{"categories":876},[121],{"categories":878},[108],{"categories":880},[70],{"categories":882},[118],{"categories":884},[264],{"categories":886},[70],{"categories":888},[113],{"categories":890},[70],{"categories":892},[198],{"categories":894},[70],{"categories":896},[70],{"categories":898},[118],{"categories":900},[],{"categories":902},[],{"categories":904},[70],{"categories":906},[141],{"categories":908},[198],{"categories":910},[152],{"categories":912},[155],{"categories":914},[],{"categories":916},[70],{"categories":918},[70],{"categories":920},[113],{"categories":922},[118],{"categories":924},[70],{"categories":926},[70],{"categories":928},[70],{"categories":930},[70],{"categories":932},[152],{"categories":934},[141],{"categories":936},[70],{"categories":938},[198],{"categories":940},[70],{"categories":942},[],{"categories":944},[118],{"categories":946},[130],{"categories":948},[],{"categories":950},[70],{"categories":952},[70],{"categories":954},[118],{"categories":956},[130],{"categories":958},[70],{"categories":960},[155],{"categories":962},[],{"categories":964},[70],{"categories":966},[],{"categories":968},[70],{"categories":970},[],{"categories":972},[121],{"categories":974},[113],{"categories":976},[118],{"categories":978},[118],{"categories":980},[],{"categories":982},[108],{"categories":984},[70],{"categories":986},[70],{"categories":988},[113],{"categories":990},[152],{"categories":992},[108],{"categories":994},[],{"categories":996},[70],{"categories":998},[],{"categories":1000},[],{"categories":1002},[152],{"categories":1004},[152],{"categories":1006},[],{"categories":1008},[435],{"categories":1010},[70],{"categories":1012},[198],{"categories":1014},[130],{"categories":1016},[],{"categories":1018},[379],{"categories":1020},[118],{"categories":1022},[113],{"categories":1024},[],{"categories":1026},[],{"categories":1028},[108],{"categories":1030},[155],{"categories":1032},[],{"categories":1034},[227],{"categories":1036},[118],{"categories":1038},[113],{"categories":1040},[118],{"categories":1042},[113],{"categories":1044},[70],{"categories":1046},[130],{"categories":1048},[],{"categories":1050},[141],{"categories":1052},[121],{"categories":1054},[70],{"categories":1056},[198],{"categories":1058},[130],{"categories":1060},[113],{"categories":1062},[70],{"categories":1064},[118],{"categories":1066},[113],{"categories":1068},[70],{"categories":1070},[70],{"categories":1072},[70],{"categories":1074},[70],{"categories":1076},[70],{"categories":1078},[],{"categories":1080},[],{"categories":1082},[130],{"categories":1084},[155],{"categories":1086},[121],{"categories":1088},[70],{"categories":1090},[118],{"categories":1092},[130],{"categories":1094},[70],{"categories":1096},[],{"categories":1098},[152],{"categories":1100},[121],{"categories":1102},[130],{"categories":1104},[70],{"categories":1106},[551],{"categories":1108},[264],{"categories":1110},[],{"categories":1112},[118],{"categories":1114},[70],{"categories":1116},[],{"categories":1118},[108],{"categories":1120},[],{"categories":1122},[70],{"categories":1124},[70],{"categories":1126},[70],{"categories":1128},[198],{"categories":1130},[227],{"categories":1132},[70],{"categories":1134},[130],{"categories":1136},[70],{"categories":1138},[118],{"categories":1140},[],{"categories":1142},[130],{"categories":1144},[70],{"categories":1146},[108],{"categories":1148},[],{"categories":1150},[113],{"categories":1152},[70],{"categories":1154},[152],{"categories":1156},[70,264],{"categories":1158},[70],{"categories":1160},[1161],"Design Systems for AI",{"categories":1163},[70],{"categories":1165},[70],{"categories":1167},[152],{"categories":1169},[70],{"categories":1171},[70],{"categories":1173},[70],{"categories":1175},[113],{"categories":1177},[70],{"categories":1179},[70],{"categories":1181},[70],{"categories":1183},[],{"categories":1185},[70],{"categories":1187},[70],{"categories":1189},[113],{"categories":1191},[70],{"categories":1193},[],{"categories":1195},[118],{"categories":1197},[130],{"categories":1199},[152],{"categories":1201},[130],{"categories":1203},[70],{"categories":1205},[198],{"categories":1207},[152],{"categories":1209},[155],{"categories":1211},[70],{"categories":1213},[70],{"categories":1215},[118],{"categories":1217},[108],{"categories":1219},[526],{"categories":1221},[70],{"categories":1223},[118],{"categories":1225},[70],{"categories":1227},[130],{"categories":1229},[130],{"categories":1231},[],{"categories":1233},[],{"categories":1235},[118],{"categories":1237},[121],{"categories":1239},[],{"categories":1241},[113],{"categories":1243},[70],{"categories":1245},[],{"categories":1247},[198],{"categories":1249},[118],{"categories":1251},[130],{"categories":1253},[198],{"categories":1255},[70],{"categories":1257},[70],{"categories":1259},[198],{"categories":1261},[],{"categories":1263},[],{"categories":1265},[152],{"categories":1267},[118],{"categories":1269},[118],{"categories":1271},[70],{"categories":1273},[70],{"categories":1275},[70],{"categories":1277},[70],{"categories":1279},[113],{"categories":1281},[70],{"categories":1283},[70],{"categories":1285},[],{"categories":1287},[130],{"categories":1289},[130],{"categories":1291},[70],{"categories":1293},[130],{"categories":1295},[113],{"categories":1297},[],{"categories":1299},[70],{"categories":1301},[70],{"categories":1303},[70],{"categories":1305},[70],{"categories":1307},[70],{"categories":1309},[118],{"categories":1311},[108],{"categories":1313},[113],{"categories":1315},[70],{"categories":1317},[118],{"categories":1319},[152],{"categories":1321},[118],{"categories":1323},[141],{"categories":1325},[227],{"categories":1327},[70],{"categories":1329},[118],{"categories":1331},[70],{"categories":1333},[70],{"categories":1335},[],{"categories":1337},[198],{"categories":1339},[],{"categories":1341},[70],{"categories":1343},[70],{"categories":1345},[],{"categories":1347},[130],{"categories":1349},[113],{"categories":1351},[1352],"Visual & Generative Media",{"categories":1354},[118],{"categories":1356},[],{"categories":1358},[70],{"categories":1360},[70],{"categories":1362},[130],{"categories":1364},[264],{"categories":1366},[155],{"categories":1368},[526],{"categories":1370},[130],{"categories":1372},[227],{"categories":1374},[70],{"categories":1376},[198],{"categories":1378},[70],{"categories":1380},[70],{"categories":1382},[130],{"categories":1384},[118],{"categories":1386},[70],{"categories":1388},[],{"categories":1390},[],{"categories":1392},[118],{"categories":1394},[130],{"categories":1396},[108],{"categories":1398},[118],{"categories":1400},[490],{"categories":1402},[70],{"categories":1404},[121],{"categories":1406},[70],{"categories":1408},[113],{"categories":1410},[],{"categories":1412},[70],{"categories":1414},[121],{"categories":1416},[70],{"categories":1418},[70],{"categories":1420},[70],{"categories":1422},[121],{"categories":1424},[70],{"categories":1426},[70],{"categories":1428},[227],{"categories":1430},[70],{"categories":1432},[435],{"categories":1434},[70],{"categories":1436},[118],{"categories":1438},[70],{"categories":1440},[70],{"categories":1442},[70],{"categories":1444},[70],{"categories":1446},[198],{"categories":1448},[118],{"categories":1450},[],{"categories":1452},[118],{"categories":1454},[],{"categories":1456},[264],{"categories":1458},[130],{"categories":1460},[],{"categories":1462},[490],{"categories":1464},[70],{"categories":1466},[118],{"categories":1468},[70],{"categories":1470},[198,70],{"categories":1472},[108],{"categories":1474},[70],{"categories":1476},[198],{"categories":1478},[],{"categories":1480},[70],{"categories":1482},[108],{"categories":1484},[1485],"Medical Imaging & Radiology",{"categories":1487},[70],{"categories":1489},[198],{"categories":1491},[118],{"categories":1493},[130],{"categories":1495},[],{"categories":1497},[70],{"categories":1499},[70],{"categories":1501},[70],{"categories":1503},[],{"categories":1505},[],{"categories":1507},[70],{"categories":1509},[435],{"categories":1511},[70],{"categories":1513},[108],{"categories":1515},[70],{"categories":1517},[70],{"categories":1519},[],{"categories":1521},[118],{"categories":1523},[70],{"categories":1525},[121],{"categories":1527},[130],{"categories":1529},[70],{"categories":1531},[435],{"categories":1533},[70],{"categories":1535},[118],{"categories":1537},[70],{"categories":1539},[70],{"categories":1541},[70],{"categories":1543},[198],{"categories":1545},[118],{"categories":1547},[264],{"categories":1549},[198],{"categories":1551},[113],{"categories":1553},[118],{"categories":1555},[152],{"categories":1557},[70],{"categories":1559},[70],{"categories":1561},[121],{"categories":1563},[70],{"categories":1565},[70],{"categories":1567},[70],{"categories":1569},[118],{"categories":1571},[130],{"categories":1573},[130],{"categories":1575},[70],{"categories":1577},[121],{"categories":1579},[],{"categories":1581},[152],{"categories":1583},[],{"categories":1585},[121],{"categories":1587},[118],{"categories":1589},[70],{"categories":1591},[118],{"categories":1593},[1161],{"categories":1595},[1161],{"categories":1597},[198],{"categories":1599},[70],{"categories":1601},[70],{"categories":1603},[118],{"categories":1605},[130],{"categories":1607},[198],{"categories":1609},[118],{"categories":1611},[152],{"categories":1613},[],{"categories":1615},[70],{"categories":1617},[],{"categories":1619},[70],{"categories":1621},[70],{"categories":1623},[70],{"categories":1625},[70],{"categories":1627},[118],{"categories":1629},[1630],"Contract Review & E-Discovery",{"categories":1632},[70],{"categories":1634},[198],{"categories":1636},[70],{"categories":1638},[108],{"categories":1640},[70],{"categories":1642},[152],{"categories":1644},[70],{"categories":1646},[70],{"categories":1648},[227],{"categories":1650},[130],{"categories":1652},[70],{"categories":1654},[70],{"categories":1656},[118],{"categories":1658},[118],{"categories":1660},[837],{"categories":1662},[70],{"categories":1664},[70],{"categories":1666},[118],{"categories":1668},[118],{"categories":1670},[70],{"categories":1672},[70],{"categories":1674},[118],{"categories":1676},[70],{"categories":1678},[70],{"categories":1680},[435],{"categories":1682},[412],{"categories":1684},[70],{"categories":1686},[118],{"categories":1688},[70],{"categories":1690},[1691],"Law-Firm Practice & Adoption",{"categories":1693},[70],{"categories":1695},[118],{"categories":1697},[198],{"categories":1699},[70],{"categories":1701},[70],{"categories":1703},[70],{"categories":1705},[],{"categories":1707},[],{"categories":1709},[130],{"categories":1711},[70],{"categories":1713},[],{"categories":1715},[118],{"categories":1717},[108],{"categories":1719},[264],{"categories":1721},[70],{"categories":1723},[],{"categories":1725},[108],{"categories":1727},[113],{"categories":1729},[70],{"categories":1731},[227],{"categories":1733},[],{"categories":1735},[113],{"categories":1737},[113],{"categories":1739},[],{"categories":1741},[70],{"categories":1743},[121],{"categories":1745},[70],{"categories":1747},[130],{"categories":1749},[],{"categories":1751},[],{"categories":1753},[],{"categories":1755},[],{"categories":1757},[70],{"categories":1759},[118],{"categories":1761},[264],{"categories":1763},[70],{"categories":1765},[108],{"categories":1767},[130],{"categories":1769},[70],{"categories":1771},[70],{"categories":1773},[130],{"categories":1775},[121],{"categories":1777},[70],{"categories":1779},[70],{"categories":1781},[70],{"categories":1783},[862],{"categories":1785},[70],{"categories":1787},[70],{"categories":1789},[227],{"categories":1791},[130],{"categories":1793},[113],{"categories":1795},[70],{"categories":1797},[70],{"categories":1799},[198],{"categories":1801},[70],{"categories":1803},[70],{"categories":1805},[70],{"categories":1807},[70],{"categories":1809},[118],{"categories":1811},[70,108],{"categories":1813},[435],{"categories":1815},[70],{"categories":1817},[70],{"categories":1819},[130],{"categories":1821},[130],{"categories":1823},[198],{"categories":1825},[118],{"categories":1827},[130],{"categories":1829},[70],{"categories":1831},[70],{"categories":1833},[],{"categories":1835},[],{"categories":1837},[70],{"categories":1839},[118],{"categories":1841},[],{"categories":1843},[70],{"categories":1845},[130],{"categories":1847},[155],{"categories":1849},[152],{"categories":1851},[198],{"categories":1853},[70],{"categories":1855},[70],{"categories":1857},[130],{"categories":1859},[],{"categories":1861},[118],{"categories":1863},[70],{"categories":1865},[70],{"categories":1867},[70],{"categories":1869},[70],{"categories":1871},[],{"categories":1873},[118],{"categories":1875},[70],{"categories":1877},[70],{"categories":1879},[],{"categories":1881},[118],{"categories":1883},[70],{"categories":1885},[70],{"categories":1887},[113],{"categories":1889},[70],{"categories":1891},[70],{"categories":1893},[],{"categories":1895},[108],{"categories":1897},[70],{"categories":1899},[70],{"categories":1901},[198],{"categories":1903},[130],{"categories":1905},[70],{"categories":1907},[108],{"categories":1909},[70],{"categories":1911},[130],{"categories":1913},[227],{"categories":1915},[118],{"categories":1917},[118],{"categories":1919},[70],{"categories":1921},[70],{"categories":1923},[70,198],{"categories":1925},[70],{"categories":1927},[118],{"categories":1929},[152],{"categories":1931},[70],{"categories":1933},[152],{"categories":1935},[118],{"categories":1937},[198],{"categories":1939},[70],{"categories":1941},[],{"categories":1943},[130],{"categories":1945},[264],{"categories":1947},[198],{"categories":1949},[130],{"categories":1951},[70],{"categories":1953},[121],{"categories":1955},[70],{"categories":1957},[70],{"categories":1959},[118],{"categories":1961},[],{"categories":1963},[],{"categories":1965},[70],{"categories":1967},[],{"categories":1969},[],{"categories":1971},[121],{"categories":1973},[130],{"categories":1975},[70],{"categories":1977},[118],{"categories":1979},[118],{"categories":1981},[113],{"categories":1983},[118],{"categories":1985},[264],{"categories":1987},[70],{"categories":1989},[70],{"categories":1991},[70],{"categories":1993},[141],{"categories":1995},[70],{"categories":1997},[70],{"categories":1999},[130],{"categories":2001},[118],{"categories":2003},[70],{"categories":2005},[70],{"categories":2007},[379],{"categories":2009},[837],{"categories":2011},[],{"categories":2013},[198],{"categories":2015},[1691],{"categories":2017},[130],{"categories":2019},[],{"categories":2021},[],{"categories":2023},[118],{"categories":2025},[],{"categories":2027},[],{"categories":2029},[70],{"categories":2031},[227],{"categories":2033},[70],{"categories":2035},[227],{"categories":2037},[118],{"categories":2039},[70],{"categories":2041},[130],{"categories":2043},[121],{"categories":2045},[],{"categories":2047},[70],{"categories":2049},[70],{"categories":2051},[130],{"categories":2053},[1630],{"categories":2055},[198],{"categories":2057},[198],{"categories":2059},[70],{"categories":2061},[118],{"categories":2063},[108],{"categories":2065},[70],{"categories":2067},[70],{"categories":2069},[70],{"categories":2071},[198],{"categories":2073},[198],{"categories":2075},[118],{"categories":2077},[118],{"categories":2079},[118],{"categories":2081},[70],{"categories":2083},[70],{"categories":2085},[],{"categories":2087},[70],{"categories":2089},[],{"categories":2091},[2092],"Interaction & Product Design",{"categories":2094},[70],{"categories":2096},[118],{"categories":2098},[130],{"categories":2100},[293],{"categories":2102},[152],{"categories":2104},[130],{"categories":2106},[70],{"categories":2108},[70],{"categories":2110},[130],{"categories":2112},[108],{"categories":2114},[118],{"categories":2116},[70],{"categories":2118},[],{"categories":2120},[118],{"categories":2122},[118],{"categories":2124},[],{"categories":2126},[130],{"categories":2128},[70],{"categories":2130},[108],{"categories":2132},[2092],{"categories":2134},[70],{"categories":2136},[108],{"categories":2138},[108],{"categories":2140},[],{"categories":2142},[118],{"categories":2144},[130],{"categories":2146},[],{"categories":2148},[118],{"categories":2150},[152],{"categories":2152},[70],{"categories":2154},[118],{"categories":2156},[70],{"categories":2158},[118],{"categories":2160},[70],{"categories":2162},[70],{"categories":2164},[152],{"categories":2166},[155],{"categories":2168},[70],{"categories":2170},[121],{"categories":2172},[130],{"categories":2174},[2175],"Coding Agents & Dev Productivity",{"categories":2177},[152],{"categories":2179},[198],{"categories":2181},[70],{"categories":2183},[70],{"categories":2185},[],{"categories":2187},[70],{"categories":2189},[837],{"categories":2191},[],{"categories":2193},[70],{"categories":2195},[264],{"categories":2197},[70],{"categories":2199},[152],{"categories":2201},[],{"categories":2203},[],{"categories":2205},[70],{"categories":2207},[],{"categories":2209},[118],{"categories":2211},[70],{"categories":2213},[],{"categories":2215},[130],{"categories":2217},[130],{"categories":2219},[70],{"categories":2221},[155],{"categories":2223},[],{"categories":2225},[70],{"categories":2227},[70],{"categories":2229},[70],{"categories":2231},[155],{"categories":2233},[130],{"categories":2235},[118],{"categories":2237},[],{"categories":2239},[],{"categories":2241},[70],{"categories":2243},[70],{"categories":2245},[118],{"categories":2247},[118],{"categories":2249},[356],{"categories":2251},[130],{"categories":2253},[130],{"categories":2255},[118],{"categories":2257},[152],{"categories":2259},[152],{"categories":2261},[118],{"categories":2263},[118],{"categories":2265},[70],{"categories":2267},[108],{"categories":2269},[2092],{"categories":2271},[70,264],{"categories":2273},[155],{"categories":2275},[],{"categories":2277},[198],{"categories":2279},[130],{"categories":2281},[108],{"categories":2283},[70],{"categories":2285},[118],{"categories":2287},[2288],"The Designer's Role & Craft",{"categories":2290},[198],{"categories":2292},[],{"categories":2294},[118],{"categories":2296},[70],{"categories":2298},[118],{"categories":2300},[118],{"categories":2302},[70],{"categories":2304},[227],{"categories":2306},[70],{"categories":2308},[130],{"categories":2310},[70],{"categories":2312},[198],{"categories":2314},[70],{"categories":2316},[],{"categories":2318},[118],{"categories":2320},[198],{"categories":2322},[70],{"categories":2324},[70],{"categories":2326},[70],{"categories":2328},[2329],"AI UX Patterns",{"categories":2331},[118],{"categories":2333},[118],{"categories":2335},[118],{"categories":2337},[118],{"categories":2339},[227],{"categories":2341},[155],{"categories":2343},[70],{"categories":2345},[118],{"categories":2347},[70],{"categories":2349},[1161],{"categories":2351},[],{"categories":2353},[227],{"categories":2355},[118],{"categories":2357},[152],{"categories":2359},[130],{"categories":2361},[70],{"categories":2363},[118],{"categories":2365},[],{"categories":2367},[],{"categories":2369},[70],{"categories":2371},[118],{"categories":2373},[70],{"categories":2375},[118],{"categories":2377},[356],{"categories":2379},[198],{"categories":2381},[70],{"categories":2383},[152],{"categories":2385},[130],{"categories":2387},[70],{"categories":2389},[118],{"categories":2391},[118],{"categories":2393},[],{"categories":2395},[70],{"categories":2397},[],{"categories":2399},[],{"categories":2401},[70],{"categories":2403},[70],{"categories":2405},[70],{"categories":2407},[118],{"categories":2409},[130],{"categories":2411},[],{"categories":2413},[],{"categories":2415},[155],{"categories":2417},[141],{"categories":2419},[70],{"categories":2421},[70],{"categories":2423},[155],{"categories":2425},[70],{"categories":2427},[152],{"categories":2429},[70],{"categories":2431},[70],{"categories":2433},[70],{"categories":2435},[118],{"categories":2437},[70],{"categories":2439},[118],{"categories":2441},[70],{"categories":2443},[70],{"categories":2445},[118],{"categories":2447},[],{"categories":2449},[],{"categories":2451},[70],{"categories":2453},[264],{"categories":2455},[70],{"categories":2457},[],{"categories":2459},[],{"categories":2461},[198],{"categories":2463},[862],{"categories":2465},[118],{"categories":2467},[108],{"categories":2469},[2288],{"categories":2471},[],{"categories":2473},[],{"categories":2475},[70],{"categories":2477},[],{"categories":2479},[],{"categories":2481},[130],{"categories":2483},[152],{"categories":2485},[227],{"categories":2487},[113],{"categories":2489},[70],{"categories":2491},[70],{"categories":2493},[113],{"categories":2495},[],{"categories":2497},[198],{"categories":2499},[121],{"categories":2501},[70],{"categories":2503},[70],{"categories":2505},[118],{"categories":2507},[113],{"categories":2509},[70],{"categories":2511},[70],{"categories":2513},[108],{"categories":2515},[70],{"categories":2517},[],{"categories":2519},[108],{"categories":2521},[70],{"categories":2523},[227],{"categories":2525},[118],{"categories":2527},[152],{"categories":2529},[70],{"categories":2531},[130],{"categories":2533},[70],{"categories":2535},[70],{"categories":2537},[113],{"categories":2539},[70],{"categories":2541},[70],{"categories":2543},[70],{"categories":2545},[118],{"categories":2547},[],{"categories":2549},[70],{"categories":2551},[130],{"categories":2553},[108],{"categories":2555},[70],{"categories":2557},[70],{"categories":2559},[70],{"categories":2561},[],{"categories":2563},[70],{"categories":2565},[435],{"categories":2567},[118],{"categories":2569},[113],{"categories":2571},[152],{"categories":2573},[70],{"categories":2575},[70],{"categories":2577},[],{"categories":2579},[113],{"categories":2581},[113],{"categories":2583},[70],{"categories":2585},[70],{"categories":2587},[121],{"categories":2589},[70],{"categories":2591},[70],{"categories":2593},[70],{"categories":2595},[70],{"categories":2597},[130],{"categories":2599},[130],{"categories":2601},[70],{"categories":2603},[],{"categories":2605},[130],{"categories":2607},[70],{"categories":2609},[130],{"categories":2611},[118],{"categories":2613},[526],{"categories":2615},[],{"categories":2617},[],{"categories":2619},[70],{"categories":2621},[152],{"categories":2623},[],{"categories":2625},[264],{"categories":2627},[70],{"categories":2629},[70],{"categories":2631},[198],{"categories":2633},[826],{"categories":2635},[],{"categories":2637},[70],{"categories":2639},[70],{"categories":2641},[70],{"categories":2643},[130],{"categories":2645},[70],{"categories":2647},[70],{"categories":2649},[70,264],{"categories":2651},[70],{"categories":2653},[70],{"categories":2655},[198],{"categories":2657},[118],{"categories":2659},[],{"categories":2661},[118],{"categories":2663},[118],{"categories":2665},[70],{"categories":2667},[70],{"categories":2669},[70],{"categories":2671},[70],{"categories":2673},[155],{"categories":2675},[70],{"categories":2677},[2329],{"categories":2679},[108],{"categories":2681},[155],{"categories":2683},[108],{"categories":2685},[130],{"categories":2687},[198],{"categories":2689},[118],{"categories":2691},[70],{"categories":2693},[],{"categories":2695},[113],{"categories":2697},[70],{"categories":2699},[70],{"categories":2701},[152],{"categories":2703},[70],{"categories":2705},[70],{"categories":2707},[118],{"categories":2709},[70],{"categories":2711},[70],{"categories":2713},[70],{"categories":2715},[113],{"categories":2717},[],{"categories":2719},[264],{"categories":2721},[70],{"categories":2723},[356],{"categories":2725},[198],{"categories":2727},[198],{"categories":2729},[130],{"categories":2731},[118],{"categories":2733},[70],{"categories":2735},[113],{"categories":2737},[152],{"categories":2739},[70],{"categories":2741},[70],{"categories":2743},[198],{"categories":2745},[118],{"categories":2747},[118],{"categories":2749},[70],{"categories":2751},[70],{"categories":2753},[490],{"categories":2755},[],{"categories":2757},[70],{"categories":2759},[70],{"categories":2761},[70],{"categories":2763},[],{"categories":2765},[],{"categories":2767},[70],{"categories":2769},[70],{"categories":2771},[118],{"categories":2773},[70],{"categories":2775},[70],{"categories":2777},[70],{"categories":2779},[130],{"categories":2781},[70],{"categories":2783},[70],{"categories":2785},[118],{"categories":2787},[70],{"categories":2789},[70],{"categories":2791},[70],{"categories":2793},[70],{"categories":2795},[70],{"categories":2797},[],{"categories":2799},[130],{"categories":2801},[155],{"categories":2803},[70],{"categories":2805},[118],{"categories":2807},[70],{"categories":2809},[],{"categories":2811},[],{"categories":2813},[70],{"categories":2815},[70],{"categories":2817},[70],{"categories":2819},[152],{"categories":2821},[155],{"categories":2823},[],{"categories":2825},[70],{"categories":2827},[198],{"categories":2829},[70],{"categories":2831},[264],{"categories":2833},[1691],{"categories":2835},[152],{"categories":2837},[130],{"categories":2839},[130],{"categories":2841},[130],{"categories":2843},[70],{"categories":2845},[70],{"categories":2847},[152],{"categories":2849},[152],{"categories":2851},[264],{"categories":2853},[118],{"categories":2855},[],{"categories":2857},[152],{"categories":2859},[70],{"categories":2861},[108],{"categories":2863},[130],{"categories":2865},[70],{"categories":2867},[152],{"categories":2869},[],{"categories":2871},[70],{"categories":2873},[130],{"categories":2875},[130],{"categories":2877},[155],{"categories":2879},[70],{"categories":2881},[152],{"categories":2883},[70],{"categories":2885},[130],{"categories":2887},[118],{"categories":2889},[152],{"categories":2891},[118],{"categories":2893},[264],{"categories":2895},[118],{"categories":2897},[70],{"categories":2899},[70],{"categories":2901},[70],{"categories":2903},[70],{"categories":2905},[130],{"categories":2907},[70],{"categories":2909},[],{"categories":2911},[118],{"categories":2913},[113],{"categories":2915},[130],{"categories":2917},[],{"categories":2919},[],{"categories":2921},[70],{"categories":2923},[118],{"categories":2925},[70],{"categories":2927},[70],{"categories":2929},[2930],"Frameworks & Tooling",{"categories":2932},[70],{"categories":2934},[70],{"categories":2936},[130],{"categories":2938},[70],{"categories":2940},[70],{"categories":2942},[],{"categories":2944},[155],{"categories":2946},[155],{"categories":2948},[108],{"categories":2950},[70],{"categories":2952},[118],{"categories":2954},[70],{"categories":2956},[198],{"categories":2958},[],{"categories":2960},[1691],{"categories":2962},[70],{"categories":2964},[130],{"categories":2966},[70],{"categories":2968},[264],{"categories":2970},[264],{"categories":2972},[],{"categories":2974},[118],{"categories":2976},[70],{"categories":2978},[152],{"categories":2980},[152],{"categories":2982},[70],{"categories":2984},[118],{"categories":2986},[],{"categories":2988},[198],{"categories":2990},[70],{"categories":2992},[70],{"categories":2994},[],{"categories":2996},[70],{"categories":2998},[118],{"categories":3000},[70],{"categories":3002},[70],{"categories":3004},[],{"categories":3006},[130],{"categories":3008},[70],{"categories":3010},[130],{"categories":3012},[264],{"categories":3014},[70],{"categories":3016},[70],{"categories":3018},[130],{"categories":3020},[113],{"categories":3022},[70],{"categories":3024},[1691],{"categories":3026},[],{"categories":3028},[118],{"categories":3030},[108],{"categories":3032},[70],{"categories":3034},[108],{"categories":3036},[70],{"categories":3038},[],{"categories":3040},[118],{"categories":3042},[70],{"categories":3044},[3045],"AI Design Tooling",{"categories":3047},[198],{"categories":3049},[70],{"categories":3051},[70],{"categories":3053},[130],{"categories":3055},[198],{"categories":3057},[70],{"categories":3059},[130],{"categories":3061},[152],{"categories":3063},[121],{"categories":3065},[130],{"categories":3067},[70],{"categories":3069},[70],{"categories":3071},[118],{"categories":3073},[70],{"categories":3075},[],{"categories":3077},[70],{"categories":3079},[70],{"categories":3081},[118],{"categories":3083},[70],{"categories":3085},[70],{"categories":3087},[70],{"categories":3089},[118],{"categories":3091},[],{"categories":3093},[118],{"categories":3095},[2930],{"categories":3097},[70],{"categories":3099},[70],{"categories":3101},[118],{"categories":3103},[118],{"categories":3105},[130],{"categories":3107},[130],{"categories":3109},[],{"categories":3111},[130],{"categories":3113},[70],{"categories":3115},[70],{"categories":3117},[118],{"categories":3119},[113],{"categories":3121},[70],{"categories":3123},[],{"categories":3125},[70],{"categories":3127},[70],{"categories":3129},[2092],{"categories":3131},[],{"categories":3133},[70],{"categories":3135},[70],{"categories":3137},[70],{"categories":3139},[70],{"categories":3141},[198],{"categories":3143},[70],{"categories":3145},[],{"categories":3147},[70],{"categories":3149},[70],{"categories":3151},[70],{"categories":3153},[227],{"categories":3155},[152],{"categories":3157},[70],{"categories":3159},[70],{"categories":3161},[1691],{"categories":3163},[108],{"categories":3165},[70],{"categories":3167},[70],{"categories":3169},[155],{"categories":3171},[70],{"categories":3173},[70],{"categories":3175},[152],{"categories":3177},[118],{"categories":3179},[],{"categories":3181},[70],{"categories":3183},[70],{"categories":3185},[198],{"categories":3187},[70],{"categories":3189},[227],{"categories":3191},[118],{"categories":3193},[70],{"categories":3195},[118],{"categories":3197},[],{"categories":3199},[],{"categories":3201},[],{"categories":3203},[108],{"categories":3205},[152],{"categories":3207},[118],{"categories":3209},[70],{"categories":3211},[70],{"categories":3213},[70],{"categories":3215},[70],{"categories":3217},[379],{"categories":3219},[198],{"categories":3221},[118],{"categories":3223},[70],{"categories":3225},[],{"categories":3227},[118],{"categories":3229},[118],{"categories":3231},[],{"categories":3233},[70],{"categories":3235},[118],{"categories":3237},[70],{"categories":3239},[],{"categories":3241},[70],{"categories":3243},[70],{"categories":3245},[152],{"categories":3247},[198],{"categories":3249},[118],{"categories":3251},[198],{"categories":3253},[118],{"categories":3255},[70],{"categories":3257},[113],{"categories":3259},[],{"categories":3261},[],{"categories":3263},[70],{"categories":3265},[70],{"categories":3267},[108],{"categories":3269},[118],{"categories":3271},[152],{"categories":3273},[],{"categories":3275},[198],{"categories":3277},[],{"categories":3279},[130],{"categories":3281},[70],{"categories":3283},[130],{"categories":3285},[198],{"categories":3287},[130],{"categories":3289},[70],{"categories":3291},[],{"categories":3293},[70],{"categories":3295},[70],{"categories":3297},[],{"categories":3299},[70],{"categories":3301},[227],{"categories":3303},[70],{"categories":3305},[264],{"categories":3307},[130],{"categories":3309},[70],{"categories":3311},[],{"categories":3313},[118],{"categories":3315},[70],{"categories":3317},[108],{"categories":3319},[490],{"categories":3321},[70],{"categories":3323},[118],{"categories":3325},[70],{"categories":3327},[118],{"categories":3329},[70],{"categories":3331},[70],{"categories":3333},[70],{"categories":3335},[],{"categories":3337},[70],{"categories":3339},[108],{"categories":3341},[70],{"categories":3343},[113],{"categories":3345},[130],{"categories":3347},[198],{"categories":3349},[],{"categories":3351},[70],{"categories":3353},[],{"categories":3355},[],{"categories":3357},[118],{"categories":3359},[70],{"categories":3361},[130],{"categories":3363},[198],{"categories":3365},[152],{"categories":3367},[70],{"categories":3369},[152],{"categories":3371},[118],{"categories":3373},[198],{"categories":3375},[70],{"categories":3377},[],{"categories":3379},[70],{"categories":3381},[141],{"categories":3383},[118],{"categories":3385},[198],{"categories":3387},[152],{"categories":3389},[113],{"categories":3391},[130],{"categories":3393},[70],{"categories":3395},[70],{"categories":3397},[152],{"categories":3399},[227],{"categories":3401},[],{"categories":3403},[],{"categories":3405},[155],{"categories":3407},[435],{"categories":3409},[70],{"categories":3411},[118],{"categories":3413},[70,130],{"categories":3415},[152],{"categories":3417},[70],{"categories":3419},[70],{"categories":3421},[70],{"categories":3423},[70],{"categories":3425},[118],{"categories":3427},[70],{"categories":3429},[118],{"categories":3431},[70],{"categories":3433},[70],{"categories":3435},[70],{"categories":3437},[],{"categories":3439},[70],{"categories":3441},[1161],{"categories":3443},[130],{"categories":3445},[198],{"categories":3447},[70],{"categories":3449},[70],{"categories":3451},[70],{"categories":3453},[155],{"categories":3455},[118],{"categories":3457},[227],{"categories":3459},[264],{"categories":3461},[],{"categories":3463},[70],{"categories":3465},[113],{"categories":3467},[118],{"categories":3469},[108],{"categories":3471},[118],{"categories":3473},[70],{"categories":3475},[118],{"categories":3477},[118],{"categories":3479},[121],{"categories":3481},[130],{"categories":3483},[70],{"categories":3485},[70],{"categories":3487},[],{"categories":3489},[],{"categories":3491},[],{"categories":3493},[264],{"categories":3495},[70],{"categories":3497},[152],{"categories":3499},[70],{"categories":3501},[70],{"categories":3503},[70],{"categories":3505},[70],{"categories":3507},[],{"categories":3509},[70],{"categories":3511},[155],{"categories":3513},[113],{"categories":3515},[118],{"categories":3517},[70],{"categories":3519},[],{"categories":3521},[70],{"categories":3523},[118],{"categories":3525},[70],{"categories":3527},[264],{"categories":3529},[],{"categories":3531},[198],{"categories":3533},[198],{"categories":3535},[],{"categories":3537},[130],{"categories":3539},[70],{"categories":3541},[198],{"categories":3543},[70],{"categories":3545},[113],{"categories":3547},[118],{"categories":3549},[70],{"categories":3551},[],{"categories":3553},[152],{"categories":3555},[70],{"categories":3557},[70],{"categories":3559},[70],{"categories":3561},[198],{"categories":3563},[118],{"categories":3565},[152],{"categories":3567},[],{"categories":3569},[118],{"categories":3571},[113],{"categories":3573},[118],{"categories":3575},[198],{"categories":3577},[70],{"categories":3579},[70],{"categories":3581},[70],{"categories":3583},[435],{"categories":3585},[70],{"categories":3587},[],{"categories":3589},[70],{"categories":3591},[70],{"categories":3593},[264],{"categories":3595},[152],{"categories":3597},[155],{"categories":3599},[526],{"categories":3601},[155],{"categories":3603},[70],{"categories":3605},[],{"categories":3607},[],{"categories":3609},[],{"categories":3611},[118],{"categories":3613},[118],{"categories":3615},[130],{"categories":3617},[70],{"categories":3619},[412],{"categories":3621},[130],{"categories":3623},[70],{"categories":3625},[70],{"categories":3627},[70],{"categories":3629},[70],{"categories":3631},[118],{"categories":3633},[],{"categories":3635},[],{"categories":3637},[70],{"categories":3639},[],{"categories":3641},[70],{"categories":3643},[118],{"categories":3645},[198],{"categories":3647},[70],{"categories":3649},[70],{"categories":3651},[],{"categories":3653},[118],{"categories":3655},[121],{"categories":3657},[70],{"categories":3659},[198],{"categories":3661},[70],{"categories":3663},[118],{"categories":3665},[113],{"categories":3667},[70],{"categories":3669},[227],{"categories":3671},[118],{"categories":3673},[70],{"categories":3675},[70],{"categories":3677},[826],{"categories":3679},[70],{"categories":3681},[118],{"categories":3683},[70],{"categories":3685},[130],{"categories":3687},[70],{"categories":3689},[490],{"categories":3691},[198],{"categories":3693},[],{"categories":3695},[70],{"categories":3697},[152],{"categories":3699},[435],{"categories":3701},[118],{"categories":3703},[70],{"categories":3705},[],{"categories":3707},[152],{"categories":3709},[356],{"categories":3711},[118],{"categories":3713},[118],{"categories":3715},[118],{"categories":3717},[70],{"categories":3719},[70],{"categories":3721},[118],{"categories":3723},[],{"categories":3725},[113],{"categories":3727},[70],{"categories":3729},[113],{"categories":3731},[118],{"categories":3733},[],{"categories":3735},[130],{"categories":3737},[70],{"categories":3739},[70],{"categories":3741},[108],{"categories":3743},[152],{"categories":3745},[264],{"categories":3747},[141],{"categories":3749},[118],{"categories":3751},[118],{"categories":3753},[70],{"categories":3755},[118],{"categories":3757},[70],{"categories":3759},[108],{"categories":3761},[],{"categories":3763},[70],{"categories":3765},[70],{"categories":3767},[70],{"categories":3769},[118],{"categories":3771},[70],{"categories":3773},[],{"categories":3775},[],{"categories":3777},[198],{"categories":3779},[118],{"categories":3781},[70,113],{"categories":3783},[118],{"categories":3785},[70],{"categories":3787},[],{"categories":3789},[108],{"categories":3791},[155],{"categories":3793},[113],{"categories":3795},[70],{"categories":3797},[130],{"categories":3799},[70],{"categories":3801},[70],{"categories":3803},[118],{"categories":3805},[70],{"categories":3807},[70],{"categories":3809},[70],{"categories":3811},[152],{"categories":3813},[1161],{"categories":3815},[118],{"categories":3817},[70],{"categories":3819},[],{"categories":3821},[],{"categories":3823},[70],{"categories":3825},[118],{"categories":3827},[70],{"categories":3829},[70],{"categories":3831},[264],{"categories":3833},[],{"categories":3835},[70],{"categories":3837},[118],{"categories":3839},[141],{"categories":3841},[118],{"categories":3843},[435],{"categories":3845},[],{"categories":3847},[379],{"categories":3849},[118],{"categories":3851},[70],{"categories":3853},[227],{"categories":3855},[118],{"categories":3857},[70],{"categories":3859},[155],{"categories":3861},[121],{"categories":3863},[118],{"categories":3865},[70],{"categories":3867},[435],{"categories":3869},[70],{"categories":3871},[264],{"categories":3873},[],{"categories":3875},[70],{"categories":3877},[227],{"categories":3879},[198],{"categories":3881},[70],{"categories":3883},[70],{"categories":3885},[70],{"categories":3887},[],{"categories":3889},[227],{"categories":3891},[152],{"categories":3893},[70],{"categories":3895},[70],{"categories":3897},[70],{"categories":3899},[526],{"categories":3901},[108],{"categories":3903},[70],{"categories":3905},[70],{"categories":3907},[],{"categories":3909},[],{"categories":3911},[198],{"categories":3913},[70],{"categories":3915},[155],{"categories":3917},[227],{"categories":3919},[118],{"categories":3921},[70],{"categories":3923},[70],{"categories":3925},[227],{"categories":3927},[152],{"categories":3929},[],{"categories":3931},[70],{"categories":3933},[70],{"categories":3935},[],{"categories":3937},[70],{"categories":3939},[70],{"categories":3941},[551],{"categories":3943},[70],{"categories":3945},[70],{"categories":3947},[118],{"categories":3949},[130],{"categories":3951},[435],{"categories":3953},[70],{"categories":3955},[70],{"categories":3957},[70],{"categories":3959},[],{"categories":3961},[70,130],{"categories":3963},[152],{"categories":3965},[118],{"categories":3967},[130],{"categories":3969},[118],{"categories":3971},[862],{"categories":3973},[130],{"categories":3975},[118],{"categories":3977},[70],{"categories":3979},[108],{"categories":3981},[],{"categories":3983},[],{"categories":3985},[118],{"categories":3987},[70],{"categories":3989},[130],{"categories":3991},[70],{"categories":3993},[108],{"categories":3995},[130],{"categories":3997},[130],{"categories":3999},[70],{"categories":4001},[227],{"categories":4003},[70],{"categories":4005},[130],{"categories":4007},[70],{"categories":4009},[],{"categories":4011},[70],{"categories":4013},[198,70],{"categories":4015},[264],{"categories":4017},[108],{"categories":4019},[70],{"categories":4021},[],{"categories":4023},[70],{"categories":4025},[70],{"categories":4027},[113],{"categories":4029},[70],{"categories":4031},[113],{"categories":4033},[70],{"categories":4035},[70],{"categories":4037},[356],{"categories":4039},[70],{"categories":4041},[113],{"categories":4043},[130],{"categories":4045},[155],{"categories":4047},[118],{"categories":4049},[130],{"categories":4051},[70],{"categories":4053},[70],{"categories":4055},[152],{"categories":4057},[227],{"categories":4059},[198],{"categories":4061},[70],{"categories":4063},[70],{"categories":4065},[70],{"categories":4067},[70],{"categories":4069},[108],{"categories":4071},[70],{"categories":4073},[118],{"categories":4075},[118],{"categories":4077},[130],{"categories":4079},[152],{"categories":4081},[130],{"categories":4083},[130],{"categories":4085},[70],{"categories":4087},[70],{"categories":4089},[],{"categories":4091},[],{"categories":4093},[155],{"categories":4095},[70],{"categories":4097},[130],{"categories":4099},[70],{"categories":4101},[198],{"categories":4103},[435],{"categories":4105},[379],{"categories":4107},[356],{"categories":4109},[70],{"categories":4111},[70],{"categories":4113},[70],{"categories":4115},[155],{"categories":4117},[70],{"categories":4119},[70],{"categories":4121},[70],{"categories":4123},[70],{"categories":4125},[70],{"categories":4127},[70],{"categories":4129},[118],{"categories":4131},[108],{"categories":4133},[118],{"categories":4135},[70,113],{"categories":4137},[],{"categories":4139},[198],{"categories":4141},[],{"categories":4143},[121],{"categories":4145},[70],{"categories":4147},[152],{"categories":4149},[108],{"categories":4151},[70],{"categories":4153},[108],{"categories":4155},[118],{"categories":4157},[155],{"categories":4159},[118],{"categories":4161},[118],{"categories":4163},[70],{"categories":4165},[70],{"categories":4167},[113],{"categories":4169},[118],{"categories":4171},[130],{"categories":4173},[227],{"categories":4175},[70],{"categories":4177},[],{"categories":4179},[152],{"categories":4181},[70],{"categories":4183},[70],{"categories":4185},[70],{"categories":4187},[70],{"categories":4189},[70],{"categories":4191},[70],{"categories":4193},[130],{"categories":4195},[152],{"categories":4197},[130],{"categories":4199},[130],{"categories":4201},[70],{"categories":4203},[70],{"categories":4205},[70],{"categories":4207},[379],{"categories":4209},[70],{"categories":4211},[118],{"categories":4213},[152],{"categories":4215},[70],{"categories":4217},[70],{"categories":4219},[70],{"categories":4221},[118],{"categories":4223},[70],{"categories":4225},[70],{"categories":4227},[70],{"categories":4229},[2930],{"categories":4231},[4232],"Clinical AI",{"categories":4234},[198],{"categories":4236},[70],{"categories":4238},[70],{"categories":4240},[70],{"categories":4242},[264],{"categories":4244},[2329],{"categories":4246},[70],{"categories":4248},[121],{"categories":4250},[70],{"categories":4252},[118],{"categories":4254},[70],{"categories":4256},[70],{"categories":4258},[152],{"categories":4260},[70],{"categories":4262},[118],{"categories":4264},[130],{"categories":4266},[227],{"categories":4268},[70],{"categories":4270},[70],{"categories":4272},[113],{"categories":4274},[70],{"categories":4276},[70],{"categories":4278},[490],{"categories":4280},[70],{"categories":4282},[],{"categories":4284},[70],{"categories":4286},[130],{"categories":4288},[108],{"categories":4290},[70],{"categories":4292},[],{"categories":4294},[],{"categories":4296},[70],{"categories":4298},[],{"categories":4300},[113],{"categories":4302},[70],{"categories":4304},[70],{"categories":4306},[118],{"categories":4308},[152],{"categories":4310},[152],{"categories":4312},[152],{"categories":4314},[152],{"categories":4316},[],{"categories":4318},[108],{"categories":4320},[118],{"categories":4322},[152],{"categories":4324},[70],{"categories":4326},[551],{"categories":4328},[121],{"categories":4330},[70],{"categories":4332},[108],{"categories":4334},[70],{"categories":4336},[118],{"categories":4338},[70],{"categories":4340},[70],{"categories":4342},[70,118],{"categories":4344},[118],{"categories":4346},[264],{"categories":4348},[152],{"categories":4350},[118],{"categories":4352},[152],{"categories":4354},[118],{"categories":4356},[70],{"categories":4358},[],{"categories":4360},[152],{"categories":4362},[227],{"categories":4364},[108],{"categories":4366},[70],{"categories":4368},[70],{"categories":4370},[],{"categories":4372},[130],{"categories":4374},[],{"categories":4376},[108],{"categories":4378},[118],{"categories":4380},[152],{"categories":4382},[70],{"categories":4384},[152],{"categories":4386},[108],{"categories":4388},[152],{"categories":4390},[152],{"categories":4392},[],{"categories":4394},[113],{"categories":4396},[118],{"categories":4398},[152],{"categories":4400},[152],{"categories":4402},[152],{"categories":4404},[152],{"categories":4406},[152],{"categories":4408},[152],{"categories":4410},[152],{"categories":4412},[152],{"categories":4414},[152],{"categories":4416},[152],{"categories":4418},[155],{"categories":4420},[108],{"categories":4422},[70],{"categories":4424},[70],{"categories":4426},[118],{"categories":4428},[118],{"categories":4430},[],{"categories":4432},[70],{"categories":4434},[70,108],{"categories":4436},[],{"categories":4438},[118],{"categories":4440},[70],{"categories":4442},[152],{"categories":4444},[118],{"categories":4446},[862],{"categories":4448},[70],{"categories":4450},[70],{"categories":4452},[70],{"categories":4454},[70],{"categories":4456},[70],{"categories":4458},[356],{"categories":4460},[70],{"categories":4462},[70],{"categories":4464},[118],{"categories":4466},[70],{"categories":4468},[113],{"categories":4470},[121],{"categories":4472},[118],{"categories":4474},[118],{"categories":4476},[],{"categories":4478},[118],{"categories":4480},[198],{"categories":4482},[152],{"categories":4484},[70],{"categories":4486},[],{"categories":4488},[121],{"categories":4490},[],{"categories":4492},[130],{"categories":4494},[118],{"categories":4496},[198],{"categories":4498},[70],{"categories":4500},[],{"categories":4502},[70],{"categories":4504},[],{"categories":4506},[227],{"categories":4508},[70],{"categories":4510},[],{"categories":4512},[],{"categories":4514},[152],{"categories":4516},[108],{"categories":4518},[70],{"categories":4520},[70],{"categories":4522},[113],{"categories":4524},[70],{"categories":4526},[70],{"categories":4528},[70],{"categories":4530},[113],{"categories":4532},[113],{"categories":4534},[198],{"categories":4536},[],{"categories":4538},[70],{"categories":4540},[152],{"categories":4542},[],{"categories":4544},[70],{"categories":4546},[70],{"categories":4548},[198],{"categories":4550},[70],{"categories":4552},[227],{"categories":4554},[70],{"categories":4556},[264],{"categories":4558},[],{"categories":4560},[118],{"categories":4562},[227],{"categories":4564},[130],{"categories":4566},[],{"categories":4568},[70],{"categories":4570},[],{"categories":4572},[118],{"categories":4574},[198],{"categories":4576},[130],{"categories":4578},[],{"categories":4580},[2930],{"categories":4582},[113],{"categories":4584},[108],{"categories":4586},[70],{"categories":4588},[155],{"categories":4590},[118],{"categories":4592},[198],{"categories":4594},[130],{"categories":4596},[],{"categories":4598},[],{"categories":4600},[70],{"categories":4602},[108],{"categories":4604},[70],{"categories":4606},[227],{"categories":4608},[],{"categories":4610},[118],{"categories":4612},[118],{"categories":4614},[70],{"categories":4616},[118],{"categories":4618},[70],{"categories":4620},[152],{"categories":4622},[130],{"categories":4624},[70],{"categories":4626},[118],{"categories":4628},[121],{"categories":4630},[70],{"categories":4632},[70],{"categories":4634},[118],{"categories":4636},[70],{"categories":4638},[121],{"categories":4640},[227],{"categories":4642},[152],{"categories":4644},[],{"categories":4646},[227],{"categories":4648},[70],{"categories":4650},[],{"categories":4652},[130],{"categories":4654},[118],{"categories":4656},[],{"categories":4658},[70],{"categories":4660},[70],{"categories":4662},[70],{"categories":4664},[70],{"categories":4666},[70],{"categories":4668},[118],{"categories":4670},[113],{"categories":4672},[108],{"categories":4674},[70],{"categories":4676},[198],{"categories":4678},[130],{"categories":4680},[130],{"categories":4682},[70],{"categories":4684},[155],{"categories":4686},[118],{"categories":4688},[70],{"categories":4690},[70],{"categories":4692},[118],{"categories":4694},[70],{"categories":4696},[113],{"categories":4698},[198],{"categories":4700},[130],{"categories":4702},[118],{"categories":4704},[70],{"categories":4706},[121],{"categories":4708},[70],{"categories":4710},[118],{"categories":4712},[70],{"categories":4714},[70],{"categories":4716},[152],{"categories":4718},[70],{"categories":4720},[],{"categories":4722},[108],{"categories":4724},[70],{"categories":4726},[70],{"categories":4728},[70],{"categories":4730},[130],{"categories":4732},[130],{"categories":4734},[70],{"categories":4736},[130],{"categories":4738},[70],{"categories":4740},[118],{"categories":4742},[70],{"categories":4744},[70],{"categories":4746},[70],{"categories":4748},[70],{"categories":4750},[70],{"categories":4752},[],{"categories":4754},[70],{"categories":4756},[198],{"categories":4758},[113],{"categories":4760},[152],{"categories":4762},[70],{"categories":4764},[118],{"categories":4766},[70],{"categories":4768},[118],{"categories":4770},[70],{"categories":4772},[70],{"categories":4774},[198],{"categories":4776},[118],{"categories":4778},[70],{"categories":4780},[227],{"categories":4782},[70],{"categories":4784},[155],{"categories":4786},[70],{"categories":4788},[70],{"categories":4790},[152],{"categories":4792},[70],{"categories":4794},[70],{"categories":4796},[70],{"categories":4798},[70],{"categories":4800},[118],{"categories":4802},[264],{"categories":4804},[70],{"categories":4806},[130],{"categories":4808},[118],{"categories":4810},[155],{"categories":4812},[],{"categories":4814},[118],{"categories":4816},[130],{"categories":4818},[70],{"categories":4820},[70],{"categories":4822},[2175],{"categories":4824},[198],{"categories":4826},[293],{"categories":4828},[70],{"categories":4830},[70],{"categories":4832},[70],{"categories":4834},[70],{"categories":4836},[108],{"categories":4838},[70],{"categories":4840},[70],{"categories":4842},[130],{"categories":4844},[113],{"categories":4846},[130],{"categories":4848},[70],{"categories":4850},[],{"categories":4852},[118],{"categories":4854},[118],{"categories":4856},[70],{"categories":4858},[70],{"categories":4860},[155],{"categories":4862},[],{"categories":4864},[152],{"categories":4866},[],{"categories":4868},[152],{"categories":4870},[70],{"categories":4872},[70],{"categories":4874},[118],{"categories":4876},[70],{"categories":4878},[118],{"categories":4880},[118],{"categories":4882},[],{"categories":4884},[152],{"categories":4886},[70],{"categories":4888},[],{"categories":4890},[70],{"categories":4892},[70],{"categories":4894},[],{"categories":4896},[70],{"categories":4898},[198],{"categories":4900},[130],{"categories":4902},[118],{"categories":4904},[70],{"categories":4906},[70],{"categories":4908},[70],{"categories":4910},[227],{"categories":4912},[70],{"categories":4914},[70],{"categories":4916},[70],{"categories":4918},[108],{"categories":4920},[70],{"categories":4922},[70],{"categories":4924},[],{"categories":4926},[70],{"categories":4928},[70],{"categories":4930},[],{"categories":4932},[108],{"categories":4934},[70],{"categories":4936},[152],{"categories":4938},[130],{"categories":4940},[121],{"categories":4942},[435],{"categories":4944},[70],{"categories":4946},[70],{"categories":4948},[70],{"categories":4950},[130],{"categories":4952},[152],{"categories":4954},[198],{"categories":4956},[70],{"categories":4958},[70],{"categories":4960},[70],{"categories":4962},[70],{"categories":4964},[152],{"categories":4966},[198],{"categories":4968},[70],{"categories":4970},[70],{"categories":4972},[152],{"categories":4974},[198],{"categories":4976},[70],{"categories":4978},[152],{"categories":4980},[70],{"categories":4982},[118],{"categories":4984},[118],{"categories":4986},[118],{"categories":4988},[130],{"categories":4990},[152],{"categories":4992},[118],{"categories":4994},[118],{"categories":4996},[70],{"categories":4998},[130],{"categories":5000},[198],{"categories":5002},[70],{"categories":5004},[70],{"categories":5006},[70],{"categories":5008},[],{"categories":5010},[118],{"categories":5012},[],{"categories":5014},[70],{"categories":5016},[70],{"categories":5018},[],{"categories":5020},[],{"categories":5022},[118],{"categories":5024},[113],{"categories":5026},[118],{"categories":5028},[5029],"Liability & Ethics",{"categories":5031},[70],{"categories":5033},[70],{"categories":5035},[118],{"categories":5037},[108],{"categories":5039},[118],{"categories":5041},[113],{"categories":5043},[227],{"categories":5045},[118],{"categories":5047},[70],{"categories":5049},[70],{"categories":5051},[],{"categories":5053},[526],{"categories":5055},[118],{"categories":5057},[],{"categories":5059},[70],{"categories":5061},[108],{"categories":5063},[118],{"categories":5065},[],{"categories":5067},[118],{"categories":5069},[70],{"categories":5071},[70],{"categories":5073},[130],{"categories":5075},[70],{"categories":5077},[152],{"categories":5079},[70],{"categories":5081},[70],{"categories":5083},[118],{"categories":5085},[70],{"categories":5087},[70],{"categories":5089},[70],{"categories":5091},[152],{"categories":5093},[118],{"categories":5095},[130],{"categories":5097},[198],{"categories":5099},[108],{"categories":5101},[70],{"categories":5103},[70],{"categories":5105},[],{"categories":5107},[118],{"categories":5109},[118],{"categories":5111},[118],{"categories":5113},[435],{"categories":5115},[198],{"categories":5117},[118],{"categories":5119},[264],{"categories":5121},[130],{"categories":5123},[152],{"categories":5125},[70],{"categories":5127},[198],{"categories":5129},[70],{"categories":5131},[108],{"categories":5133},[],{"categories":5135},[118],{"categories":5137},[70],{"categories":5139},[70],{"categories":5141},[70],{"categories":5143},[118],{"categories":5145},[70],{"categories":5147},[198],{"categories":5149},[],{"categories":5151},[118],{"categories":5153},[121],{"categories":5155},[152],{"categories":5157},[118],{"categories":5159},[113],{"categories":5161},[],{"categories":5163},[70],{"categories":5165},[70],{"categories":5167},[121],{"categories":5169},[70],{"categories":5171},[118],{"categories":5173},[152],{"categories":5175},[108],{"categories":5177},[264],{"categories":5179},[70],{"categories":5181},[70],{"categories":5183},[70],{"categories":5185},[152],{"categories":5187},[113],{"categories":5189},[70],{"categories":5191},[198],{"categories":5193},[152],{"categories":5195},[264],{"categories":5197},[70],{"categories":5199},[118],{"categories":5201},[],{"categories":5203},[490],{"categories":5205},[],{"categories":5207},[70],{"categories":5209},[264],{"categories":5211},[70],{"categories":5213},[155],{"categories":5215},[118],{"categories":5217},[118],{"categories":5219},[5220],"Design News & Tools",{"categories":5222},[70],{"categories":5224},[152],{"categories":5226},[70],{"categories":5228},[70],{"categories":5230},[108],{"categories":5232},[70],{"categories":5234},[198],{"categories":5236},[118],{"categories":5238},[118],{"categories":5240},[198],{"categories":5242},[70],{"categories":5244},[435],{"categories":5246},[118],{"categories":5248},[70],{"categories":5250},[70],{"categories":5252},[435],{"categories":5254},[70],{"categories":5256},[227],{"categories":5258},[70],{"categories":5260},[118],{"categories":5262},[],{"categories":5264},[70],{"categories":5266},[70],{"categories":5268},[70],{"categories":5270},[152],{"categories":5272},[108],{"categories":5274},[],{"categories":5276},[70],{"categories":5278},[70],{"categories":5280},[70],{"categories":5282},[130],{"categories":5284},[551],{"categories":5286},[130],{"categories":5288},[198],{"categories":5290},[70],{"categories":5292},[70,118],{"categories":5294},[227,113],{"categories":5296},[130],{"categories":5298},[70],{"categories":5300},[70],{"categories":5302},[70],{"categories":5304},[70],{"categories":5306},[],{"categories":5308},[118],{"categories":5310},[70],{"categories":5312},[],{"categories":5314},[70],{"categories":5316},[130],{"categories":5318},[70],{"categories":5320},[130],{"categories":5322},[],{"categories":5324},[118],{"categories":5326},[70],{"categories":5328},[113],{"categories":5330},[70],{"categories":5332},[152],{"categories":5334},[70],{"categories":5336},[],{"categories":5338},[118],{"categories":5340},[70],{"categories":5342},[],{"categories":5344},[198],{"categories":5346},[70],{"categories":5348},[70],{"categories":5350},[118],{"categories":5352},[70],{"categories":5354},[70],{"categories":5356},[108],{"categories":5358},[118],{"categories":5360},[70],{"categories":5362},[],{"categories":5364},[264],{"categories":5366},[227],{"categories":5368},[113],{"categories":5370},[113],{"categories":5372},[70],{"categories":5374},[108],{"categories":5376},[108],{"categories":5378},[70],{"categories":5380},[118],{"categories":5382},[70],{"categories":5384},[70],{"categories":5386},[70],{"categories":5388},[70],{"categories":5390},[130],{"categories":5392},[70],{"categories":5394},[108],{"categories":5396},[70],{"categories":5398},[118],{"categories":5400},[70],{"categories":5402},[227],{"categories":5404},[70],{"categories":5406},[152],{"categories":5408},[70],{"categories":5410},[70],{"categories":5412},[118],{"categories":5414},[70],{"categories":5416},[118],{"categories":5418},[],{"categories":5420},[130],{"categories":5422},[],{"categories":5424},[130],{"categories":5426},[118],{"categories":5428},[108],{"categories":5430},[],{"categories":5432},[155],{"categories":5434},[264],{"categories":5436},[70],{"categories":5438},[130],{"categories":5440},[70],{"categories":5442},[],{"categories":5444},[152],{"categories":5446},[118],{"categories":5448},[130],{"categories":5450},[198],{"categories":5452},[70],{"categories":5454},[70],{"categories":5456},[118],{"categories":5458},[130],{"categories":5460},[118],{"categories":5462},[152],{"categories":5464},[70],{"categories":5466},[121],{"categories":5468},[108],{"categories":5470},[121],{"categories":5472},[152],{"categories":5474},[70],{"categories":5476},[130],{"categories":5478},[70],{"categories":5480},[198],{"categories":5482},[113],{"categories":5484},[70],{"categories":5486},[70],{"categories":5488},[70],{"categories":5490},[70],{"categories":5492},[70],{"categories":5494},[70],{"categories":5496},[118],{"categories":5498},[70],{"categories":5500},[118],{"categories":5502},[70],{"categories":5504},[70],{"categories":5506},[108],{"categories":5508},[70],{"categories":5510},[118],{"categories":5512},[118],{"categories":5514},[198],{"categories":5516},[118],{"categories":5518},[118],{"categories":5520},[108],{"categories":5522},[118],{"categories":5524},[198],{"categories":5526},[],{"categories":5528},[70],{"categories":5530},[155],{"categories":5532},[435],{"categories":5534},[70],{"categories":5536},[70],{"categories":5538},[70],{"categories":5540},[130],{"categories":5542},[70],{"categories":5544},[],{"categories":5546},[70],{"categories":5548},[118],{"categories":5550},[70],{"categories":5552},[227],{"categories":5554},[70],{"categories":5556},[152],{"categories":5558},[118],{"categories":5560},[70],{"categories":5562},[227],{"categories":5564},[118],{"categories":5566},[113],{"categories":5568},[113],{"categories":5570},[70],{"categories":5572},[70],{"categories":5574},[70],{"categories":5576},[70],{"categories":5578},[70],{"categories":5580},[108],{"categories":5582},[],{"categories":5584},[70],{"categories":5586},[70],{"categories":5588},[118],{"categories":5590},[118],{"categories":5592},[70],{"categories":5594},[70],{"categories":5596},[70],{"categories":5598},[130],{"categories":5600},[],{"categories":5602},[108],{"categories":5604},[70],{"categories":5606},[70],{"categories":5608},[118],{"categories":5610},[118],{"categories":5612},[],{"categories":5614},[130],{"categories":5616},[130],{"categories":5618},[70],{"categories":5620},[227],{"categories":5622},[113],{"categories":5624},[198],{"categories":5626},[],{"categories":5628},[70],{"categories":5630},[118],{"categories":5632},[108],{"categories":5634},[70],{"categories":5636},[70],{"categories":5638},[130],{"categories":5640},[108],{"categories":5642},[70],{"categories":5644},[70],{"categories":5646},[152],{"categories":5648},[155],{"categories":5650},[152],{"categories":5652},[118],{"categories":5654},[70],{"categories":5656},[],{"categories":5658},[152],{"categories":5660},[118],{"categories":5662},[198],{"categories":5664},[155],{"categories":5666},[70],{"categories":5668},[70],{"categories":5670},[],{"categories":5672},[118],{"categories":5674},[118],{"categories":5676},[118],{"categories":5678},[2930],{"categories":5680},[152],{"categories":5682},[70],{"categories":5684},[130],{"categories":5686},[70],{"categories":5688},[70],{"categories":5690},[70],{"categories":5692},[70],{"categories":5694},[113],{"categories":5696},[70],{"categories":5698},[108],{"categories":5700},[1691],{"categories":5702},[264],{"categories":5704},[108],{"categories":5706},[],{"categories":5708},[70],{"categories":5710},[],{"categories":5712},[152],{"categories":5714},[118],{"categories":5716},[198],{"categories":5718},[70],{"categories":5720},[70],{"categories":5722},[152],{"categories":5724},[],{"categories":5726},[118],{"categories":5728},[118],{"categories":5730},[118],{"categories":5732},[],{"categories":5734},[70],{"categories":5736},[],{"categories":5738},[152],{"categories":5740},[108],{"categories":5742},[198],{"categories":5744},[70],{"categories":5746},[118],{"categories":5748},[152],{"categories":5750},[70],{"categories":5752},[152],{"categories":5754},[],{"categories":5756},[152],{"categories":5758},[108],{"categories":5760},[435],{"categories":5762},[118],{"categories":5764},[70],{"categories":5766},[],{"categories":5768},[130],{"categories":5770},[118],{"categories":5772},[121],{"categories":5774},[118],{"categories":5776},[108],{"categories":5778},[],{"categories":5780},[],{"categories":5782},[],{"categories":5784},[198],{"categories":5786},[118],{"categories":5788},[70],{"categories":5790},[70],{"categories":5792},[],{"categories":5794},[],{"categories":5796},[],{"categories":5798},[70],{"categories":5800},[198],{"categories":5802},[70],{"categories":5804},[],{"categories":5806},[118],{"categories":5808},[70],{"categories":5810},[70],{"categories":5812},[108],{"categories":5814},[],{"categories":5816},[],{"categories":5818},[70],{"categories":5820},[198],{"categories":5822},[70],{"categories":5824},[152],{"categories":5826},[],{"categories":5828},[70],{"categories":5830},[227],{"categories":5832},[152],{"categories":5834},[227],{"categories":5836},[155],{"categories":5838},[70],{"categories":5840},[70],{"categories":5842},[],{"categories":5844},[],{"categories":5846},[118],{"categories":5848},[],{"categories":5850},[70],{"categories":5852},[435],{"categories":5854},[70],{"categories":5856},[70],{"categories":5858},[70],{"categories":5860},[70],{"categories":5862},[],{"categories":5864},[118],{"categories":5866},[70],{"categories":5868},[70],{"categories":5870},[],{"categories":5872},[118],{"categories":5874},[70],{"categories":5876},[152],{"categories":5878},[70],{"categories":5880},[227],{"categories":5882},[113],{"categories":5884},[70],{"categories":5886},[70],{"categories":5888},[118],{"categories":5890},[155],{"categories":5892},[118],{"categories":5894},[118],{"categories":5896},[],{"categories":5898},[118],{"categories":5900},[],{"categories":5902},[70],{"categories":5904},[],{"categories":5906},[152],{"categories":5908},[113],{"categories":5910},[],{"categories":5912},[70],{"categories":5914},[70],{"categories":5916},[],{"categories":5918},[198],{"categories":5920},[108],{"categories":5922},[],{"categories":5924},[113],{"categories":5926},[227],{"categories":5928},[70],{"categories":5930},[130],{"categories":5932},[108],{"categories":5934},[155],{"categories":5936},[113],{"categories":5938},[130],{"categories":5940},[118],{"categories":5942},[130],{"categories":5944},[],{"categories":5946},[70],{"categories":5948},[121],{"categories":5950},[70],{"categories":5952},[],{"categories":5954},[118],{"categories":5956},[108],{"categories":5958},[198],{"categories":5960},[70],{"categories":5962},[108],{"categories":5964},[118],{"categories":5966},[264],{"categories":5968},[70],{"categories":5970},[70],{"categories":5972},[70],{"categories":5974},[108],{"categories":5976},[155],{"categories":5978},[118],{"categories":5980},[],{"categories":5982},[70],{"categories":5984},[70],{"categories":5986},[70],{"categories":5988},[130],{"categories":5990},[118],{"categories":5992},[152],{"categories":5994},[130],{"categories":5996},[70],{"categories":5998},[121],{"categories":6000},[],{"categories":6002},[198],{"categories":6004},[130],{"categories":6006},[152],{"categories":6008},[108],{"categories":6010},[118],{"categories":6012},[70],{"categories":6014},[70],{"categories":6016},[118],{"categories":6018},[121],{"categories":6020},[70],{"categories":6022},[118],{"categories":6024},[70],{"categories":6026},[113],{"categories":6028},[118],{"categories":6030},[118,264],{"categories":6032},[70],{"categories":6034},[70],{"categories":6036},[118],{"categories":6038},[130],{"categories":6040},[70],{"categories":6042},[70],{"categories":6044},[155],{"categories":6046},[118],{"categories":6048},[227],{"categories":6050},[118],{"categories":6052},[113],{"categories":6054},[],{"categories":6056},[118],{"categories":6058},[70],{"categories":6060},[113],{"categories":6062},[],{"categories":6064},[],{"categories":6066},[130],{"categories":6068},[70],{"categories":6070},[70],{"categories":6072},[118],{"categories":6074},[155],{"categories":6076},[227],{"categories":6078},[70],{"categories":6080},[70],{"categories":6082},[118],{"categories":6084},[],{"categories":6086},[118],{"categories":6088},[152],{"categories":6090},[118],{"categories":6092},[70],{"categories":6094},[],{"categories":6096},[152],{"categories":6098},[130],{"categories":6100},[2930],{"categories":6102},[108],{"categories":6104},[130],{"categories":6106},[70],{"categories":6108},[118],{"categories":6110},[70],{"categories":6112},[70],{"categories":6114},[227],{"categories":6116},[130],{"categories":6118},[],{"categories":6120},[152],{"categories":6122},[70],{"categories":6124},[],{"categories":6126},[118],{"categories":6128},[70],{"categories":6130},[70],{"categories":6132},[70],{"categories":6134},[70],{"categories":6136},[118],{"categories":6138},[70],{"categories":6140},[70],{"categories":6142},[121],{"categories":6144},[70],{"categories":6146},[118],{"categories":6148},[70],{"categories":6150},[70],{"categories":6152},[70],{"categories":6154},[70],{"categories":6156},[70],{"categories":6158},[70],{"categories":6160},[70],{"categories":6162},[113],{"categories":6164},[],{"categories":6166},[121],{"categories":6168},[152],{"categories":6170},[118],{"categories":6172},[70],{"categories":6174},[130],{"categories":6176},[],{"categories":6178},[130],{"categories":6180},[130],{"categories":6182},[118],{"categories":6184},[130],{"categories":6186},[70],{"categories":6188},[70],{"categories":6190},[70],{"categories":6192},[118],{"categories":6194},[130],{"categories":6196},[70],{"categories":6198},[70],{"categories":6200},[70],{"categories":6202},[118],{"categories":6204},[152],{"categories":6206},[70],{"categories":6208},[70],{"categories":6210},[70],{"categories":6212},[113],{"categories":6214},[70],{"categories":6216},[118],{"categories":6218},[198],{"categories":6220},[],{"categories":6222},[70],{"categories":6224},[155],{"categories":6226},[118],{"categories":6228},[70],{"categories":6230},[70],{"categories":6232},[],{"categories":6234},[70],{"categories":6236},[70],{"categories":6238},[152],{"categories":6240},[70],{"categories":6242},[70],{"categories":6244},[118],{"categories":6246},[227],{"categories":6248},[],{"categories":6250},[],{"categories":6252},[130],{"categories":6254},[70],{"categories":6256},[152],{"categories":6258},[70],{"categories":6260},[130],{"categories":6262},[152],{"categories":6264},[70],{"categories":6266},[227],{"categories":6268},[155],{"categories":6270},[70],{"categories":6272},[70],{"categories":6274},[108],{"categories":6276},[118],{"categories":6278},[70],{"categories":6280},[70],{"categories":6282},[118],{"categories":6284},[118],{"categories":6286},[70],{"categories":6288},[113],{"categories":6290},[],{"categories":6292},[155],{"categories":6294},[70],{"categories":6296},[],{"categories":6298},[152],{"categories":6300},[70],{"categories":6302},[155],{"categories":6304},[70],{"categories":6306},[130],{"categories":6308},[130],{"categories":6310},[130],{"categories":6312},[118],{"categories":6314},[118],{"categories":6316},[70],{"categories":6318},[118],{"categories":6320},[70],{"categories":6322},[70],{"categories":6324},[198],{"categories":6326},[155],{"categories":6328},[155],{"categories":6330},[],{"categories":6332},[152],{"categories":6334},[70],{"categories":6336},[70],{"categories":6338},[130],{"categories":6340},[],{"categories":6342},[152],{"categories":6344},[152],{"categories":6346},[152],{"categories":6348},[],{"categories":6350},[118],{"categories":6352},[70],{"categories":6354},[],{"categories":6356},[108],{"categories":6358},[113],{"categories":6360},[],{"categories":6362},[70],{"categories":6364},[70],{"categories":6366},[],{"categories":6368},[130],{"categories":6370},[],{"categories":6372},[],{"categories":6374},[],{"categories":6376},[],{"categories":6378},[70],{"categories":6380},[152],{"categories":6382},[],{"categories":6384},[],{"categories":6386},[70],{"categories":6388},[70],{"categories":6390},[70],{"categories":6392},[155],{"categories":6394},[70],{"categories":6396},[155],{"categories":6398},[],{"categories":6400},[155],{"categories":6402},[155],{"categories":6404},[264],{"categories":6406},[118],{"categories":6408},[130],{"categories":6410},[],{"categories":6412},[],{"categories":6414},[155],{"categories":6416},[130],{"categories":6418},[130],{"categories":6420},[130],{"categories":6422},[],{"categories":6424},[108],{"categories":6426},[130],{"categories":6428},[130],{"categories":6430},[108],{"categories":6432},[130],{"categories":6434},[113],{"categories":6436},[130],{"categories":6438},[130],{"categories":6440},[130],{"categories":6442},[155],{"categories":6444},[152],{"categories":6446},[152],{"categories":6448},[70],{"categories":6450},[130],{"categories":6452},[155],{"categories":6454},[264],{"categories":6456},[155],{"categories":6458},[155],{"categories":6460},[155],{"categories":6462},[],{"categories":6464},[113],{"categories":6466},[],{"categories":6468},[264],{"categories":6470},[130],{"categories":6472},[130],{"categories":6474},[130],{"categories":6476},[118],{"categories":6478},[152,113],{"categories":6480},[155],{"categories":6482},[],{"categories":6484},[],{"categories":6486},[155],{"categories":6488},[],{"categories":6490},[155],{"categories":6492},[152],{"categories":6494},[118],{"categories":6496},[],{"categories":6498},[130],{"categories":6500},[70],{"categories":6502},[198],{"categories":6504},[],{"categories":6506},[70],{"categories":6508},[],{"categories":6510},[152],{"categories":6512},[108],{"categories":6514},[155],{"categories":6516},[],{"categories":6518},[130],{"categories":6520},[152],[6522,6621,6698,6815],{"id":6523,"title":6524,"ai":6525,"body":6530,"categories":6598,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":6599,"navigation":87,"path":6608,"published_at":6609,"question":71,"scraped_at":6610,"seo":6611,"sitemap":6612,"source_id":6613,"source_name":6614,"source_type":94,"source_url":6615,"stem":6616,"tags":6617,"thumbnail_url":71,"tldr":6618,"tweet":71,"unknown_tags":6619,"__hash__":6620},"summaries\u002Fsummaries\u002F58aa82efe57a452b-vector-search-explained-from-brute-force-to-ann-summary.md","Vector Search Explained: From Brute Force to ANN",{"provider":7,"model":8,"input_tokens":6526,"output_tokens":6527,"processing_time_ms":6528,"cost_usd":6529},4838,590,3656,0.0020945,{"type":14,"value":6531,"toc":6593},[6532,6536,6539,6543,6546,6566,6570,6573],[17,6533,6535],{"id":6534},"the-scaling-problem-brute-force-vs-indexing","The Scaling Problem: Brute Force vs. Indexing",[22,6537,6538],{},"Vector search involves finding the nearest neighbors to a query vector within a massive dataset. A 'brute-force' approach—a linear scan—compares the query against every single item in the database. While this guarantees the most accurate result, it is computationally prohibitive at scale (e.g., millions of vectors). For small datasets (a few thousand vectors), brute force is sufficient, but for production-scale applications, it creates a performance bottleneck.",[17,6540,6542],{"id":6541},"the-aisle-strategy-approximate-nearest-neighbor-ann","The 'Aisle' Strategy: Approximate Nearest Neighbor (ANN)",[22,6544,6545],{},"To achieve speed, systems use Approximate Nearest Neighbor (ANN) search, which mimics a supermarket's organization. Instead of searching the entire store, the system uses an indexing method to create 'aisles' (clusters).",[33,6547,6548,6554,6560],{},[36,6549,6550,6553],{},[39,6551,6552],{},"Clustering",": Similar vectors naturally clump together. The system draws boundaries around these clumps and assigns a 'signpost' (centroid) representing the average position of the items within that cluster.",[36,6555,6556,6559],{},[39,6557,6558],{},"The Two-Step Search",": When a query arrives, the system compares it only against the signposts. It then selects the nearest aisle(s) and performs a scan only within that subset.",[36,6561,6562,6565],{},[39,6563,6564],{},"The Trade-off",": This method is 'approximate' because a relevant item might be miscategorized or missed if the query is directed to the wrong aisle. This trade-off between speed and perfect accuracy is fundamental to high-dimensional search.",[17,6567,6569],{"id":6568},"libraries-vs-databases","Libraries vs. Databases",[22,6571,6572],{},"There is a critical distinction between a search library like FAISS and a full-featured vector database. A library provides the shelving method (e.g., IVF index), but a production-ready database adds the operational infrastructure required for real-world applications:",[33,6574,6575,6581,6587],{},[36,6576,6577,6580],{},[39,6578,6579],{},"Persistence and Updates",": Managing stock while the store is open and ensuring data survives system restarts.",[36,6582,6583,6586],{},[39,6584,6585],{},"Metadata Filtering",": The ability to restrict searches by specific criteria (e.g., 'only this user's documents'). This is technically difficult because filters often conflict with the pre-indexed 'aisles,' requiring complex engineering to maintain performance.",[36,6588,6589,6592],{},[39,6590,6591],{},"Hybrid Search",": Combining vector similarity with traditional keyword or structured data filtering.",{"title":63,"searchDepth":64,"depth":64,"links":6594},[6595,6596,6597],{"id":6534,"depth":64,"text":6535},{"id":6541,"depth":64,"text":6542},{"id":6568,"depth":64,"text":6569},[70],{"content_references":6600,"triage":6606},[6601],{"type":6602,"title":6603,"url":6604,"context":6605},"tool","FAISS","https:\u002F\u002Fgithub.com\u002Ffacebookresearch\u002Ffaiss","mentioned",{"relevance":82,"novelty":84,"quality":83,"actionability":83,"composite":85,"reasoning":6607},"Category: AI & LLMs. The article provides a detailed explanation of vector search techniques, specifically focusing on Approximate Nearest Neighbor (ANN) methods, which are crucial for AI-powered product builders dealing with large datasets. It offers actionable insights into the trade-offs between speed and accuracy in search systems, making it relevant for developers looking to implement efficient search functionalities.","\u002Fsummaries\u002F58aa82efe57a452b-vector-search-explained-from-brute-force-to-ann-summary","2026-06-23 04:50:43","2026-06-23 12:56:47",{"title":6524,"description":63},{"loc":6608},"58aa82efe57a452b","Level Up Coding","https:\u002F\u002Flevelup.gitconnected.com\u002Fvector-search-explained-visually-how-databases-find-a-needle-in-5-million-vectors-bb67825b1a75?source=rss----5517fd7b58a6---4","summaries\u002F58aa82efe57a452b-vector-search-explained-from-brute-force-to-ann-summary",[97,98,99],"Vector search scales by replacing linear scans with 'aisles'—grouping similar vectors into clusters defined by centroids—allowing systems to ignore irrelevant data and return results in milliseconds.",[],"HK3k-5y-hEVvC2ZT8cQOkj4KbzVl2TV_np9iv9o01iE",{"id":6622,"title":6623,"ai":6624,"body":6629,"categories":6677,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":6678,"navigation":87,"path":6687,"published_at":6688,"question":71,"scraped_at":6688,"seo":6689,"sitemap":6690,"source_id":6691,"source_name":93,"source_type":94,"source_url":6682,"stem":6692,"tags":6693,"thumbnail_url":71,"tldr":6695,"tweet":71,"unknown_tags":6696,"__hash__":6697},"summaries\u002Fsummaries\u002Fe04c2533e2234751-nl2shacl-bench-evaluating-llm-performance-on-shacl-summary.md","NL2SHACL-Bench: Evaluating LLM Performance on SHACL Generation",{"provider":7,"model":8,"input_tokens":6625,"output_tokens":6626,"processing_time_ms":6627,"cost_usd":6628},4050,516,2775,0.0017865,{"type":14,"value":6630,"toc":6672},[6631,6635,6638,6642,6645,6649,6652],[17,6632,6634],{"id":6633},"the-challenge-of-natural-language-to-shacl-translation","The Challenge of Natural Language to SHACL Translation",[22,6636,6637],{},"SHACL (Shapes Constraint Language) is the standard for validating RDF graphs, but writing it manually is complex, error-prone, and requires deep knowledge of semantic web technologies. While Large Language Models (LLMs) show promise in generating code from natural language, there has been a lack of standardized evaluation methods to measure their proficiency in generating valid, semantically correct SHACL shapes.",[17,6639,6641],{"id":6640},"introducing-nl2shacl-bench","Introducing NL2SHACL-Bench",[22,6643,6644],{},"NL2SHACL-Bench addresses this gap by providing a structured benchmark suite designed to test LLM performance in this specific domain. The benchmark focuses on the translation process—converting human-readable constraints into the formal, machine-readable SHACL syntax. By establishing a rigorous testing environment, the authors aim to move beyond anecdotal evidence of LLM capabilities and provide a quantifiable metric for model performance in knowledge graph engineering tasks.",[17,6646,6648],{"id":6647},"evaluation-methodology-and-impact","Evaluation Methodology and Impact",[22,6650,6651],{},"The benchmark suite allows researchers and developers to assess models across varying levels of complexity, from basic property constraints to more advanced logical conditions. By standardizing the input-output pairs, NL2SHACL-Bench enables:",[33,6653,6654,6660,6666],{},[36,6655,6656,6659],{},[39,6657,6658],{},"Comparative Analysis:"," Benchmarking different LLM architectures against a consistent set of validation requirements.",[36,6661,6662,6665],{},[39,6663,6664],{},"Error Identification:"," Pinpointing where models fail—whether in understanding the natural language intent, mapping to the correct SHACL vocabulary, or handling complex logical nesting.",[36,6667,6668,6671],{},[39,6669,6670],{},"Production Readiness:"," Establishing a baseline for using AI-assisted tools to automate the creation of data validation schemas, reducing the barrier to entry for maintaining high-quality knowledge graphs.",{"title":63,"searchDepth":64,"depth":64,"links":6673},[6674,6675,6676],{"id":6633,"depth":64,"text":6634},{"id":6640,"depth":64,"text":6641},{"id":6647,"depth":64,"text":6648},[70],{"content_references":6679,"triage":6684},[6680],{"type":77,"title":6681,"url":6682,"context":6683},"NL2SHACL-Bench: A Benchmark Suite for Natural Language to SHACL Translation","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.07530","reviewed",{"relevance":84,"novelty":84,"quality":83,"actionability":64,"composite":6685,"reasoning":6686},3.05,"Category: AI & LLMs. The article discusses a benchmark suite for evaluating LLMs in generating SHACL, which is relevant to AI engineering. However, it lacks direct actionable insights for product builders looking to implement AI features, focusing more on research evaluation.","\u002Fsummaries\u002Fe04c2533e2234751-nl2shacl-bench-evaluating-llm-performance-on-shacl-summary","2026-08-12 03:21:22",{"title":6623,"description":63},{"loc":6687},"e04c2533e2234751","summaries\u002Fe04c2533e2234751-nl2shacl-bench-evaluating-llm-performance-on-shacl-summary",[97,99,6694,98],"research","NL2SHACL-Bench provides a standardized benchmark suite to evaluate how effectively Large Language Models can translate natural language requirements into SHACL (Shapes Constraint Language) for RDF data validation.",[],"1k7LKdcioXTjopvy8XGi7UFPWZDV7xIx3gJl58z8d6Y",{"id":6699,"title":6700,"ai":6701,"body":6706,"categories":6783,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":6784,"navigation":87,"path":6798,"published_at":6799,"question":71,"scraped_at":6800,"seo":6801,"sitemap":6802,"source_id":6803,"source_name":6804,"source_type":6805,"source_url":6806,"stem":6807,"tags":6808,"thumbnail_url":6810,"tldr":6811,"tweet":6812,"unknown_tags":6813,"__hash__":6814},"summaries\u002Fsummaries\u002F14ef085d7faf2bc0-data-quality-as-a-compute-multiplier-summary.md","Data Quality as a Compute Multiplier",{"provider":7,"model":8,"input_tokens":6702,"output_tokens":6703,"processing_time_ms":6704,"cost_usd":6705},8507,730,3684,0.00322175,{"type":14,"value":6707,"toc":6778},[6708,6712,6715,6719,6722,6748,6752],[17,6709,6711],{"id":6710},"the-case-for-data-as-a-compute-multiplier","The Case for Data as a Compute Multiplier",[22,6713,6714],{},"In an era of constrained compute and rising hardware costs, data quality serves as a critical multiplier. The core objective is to maximize the marginal information gain per data point. By shifting focus from raw token volume to signal density, builders can achieve the same model performance with a fraction of the compute budget. This approach effectively 'bends' traditional scaling laws, allowing smaller, high-quality models to outperform larger ones trained on noisier datasets.",[17,6716,6718],{"id":6717},"the-four-pillars-of-data-refinement","The Four Pillars of Data Refinement",[22,6720,6721],{},"DatologyAI treats data processing like an oil refinery, utilizing a four-stage pipeline to transform raw inputs into high-signal training sets:",[33,6723,6724,6730,6736,6742],{},[36,6725,6726,6729],{},[39,6727,6728],{},"Clean:"," Beyond basic heuristic filtering (e.g., removing short or nonsensical documents), rigorous benchmark decontamination is essential to ensure valid performance evaluation.",[36,6731,6732,6735],{},[39,6733,6734],{},"Curate:"," This involves using quality classifiers and redundancy reduction to remove semantically similar data that adds little new information. Balancing data distribution to match target tasks is key to robustness.",[36,6737,6738,6741],{},[39,6739,6740],{},"Create:"," Synthetic data generation, specifically through 'rephrasing' (transforming existing documents into new formats like Q&A), increases diversity without the risk of model collapse, as the source information remains grounded in the original document.",[36,6743,6744,6747],{},[39,6745,6746],{},"Compose:"," Sequencing data across multiple training stages—and potentially using continuous curricula—is now standard for frontier models. Proper composition prevents catastrophic forgetting when adapting models to specific domains.",[17,6749,6751],{"id":6750},"practical-outcomes-and-efficiency","Practical Outcomes and Efficiency",[33,6753,6754,6760,6766,6772],{},[36,6755,6756,6759],{},[39,6757,6758],{},"Inference Efficiency:"," High-quality data leads to more concise model responses, reducing the token count per request and lowering inference costs.",[36,6761,6762,6765],{},[39,6763,6764],{},"Cross-Lingual Transfer:"," Curating English data improves performance in other languages due to cross-lingual transfer effects, which correlate with linguistic similarity.",[36,6767,6768,6771],{},[39,6769,6770],{},"Domain Adaptation:"," Mid-training on proprietary data (e.g., legal datasets) can improve domain-specific capabilities by 5% without sacrificing general performance, while simultaneously making subsequent post-training (instruction tuning) 2-3x more effective.",[36,6773,6774,6777],{},[39,6775,6776],{},"Cost-Effectiveness:"," Building frontier-competitive models is achievable for high-six-figure budgets rather than hundreds of millions, provided the data curation strategy is sound and avoids redundant training runs.",{"title":63,"searchDepth":64,"depth":64,"links":6779},[6780,6781,6782],{"id":6710,"depth":64,"text":6711},{"id":6717,"depth":64,"text":6718},{"id":6750,"depth":64,"text":6751},[70],{"content_references":6785,"triage":6795},[6786,6790,6793],{"type":77,"title":6787,"author":6788,"publisher":6789,"context":80},"Beyond Scaling Laws","Ari Morcos","NeurIPS",{"type":6602,"title":6791,"url":6792,"context":6605},"DatologyAI","https:\u002F\u002Fwww.datology.ai\u002F",{"type":6602,"title":6794,"context":6605},"Arcee Trinity",{"relevance":82,"novelty":83,"quality":83,"actionability":83,"composite":6796,"reasoning":6797},4.35,"Category: Data Science & Visualization. The article discusses how data quality can significantly enhance model performance while reducing compute costs, addressing a key pain point for builders looking to optimize AI models. It provides a structured approach to data refinement, which is actionable for developers and product builders.","\u002Fsummaries\u002F14ef085d7faf2bc0-data-quality-as-a-compute-multiplier-summary","2026-07-31 23:00:06","2026-08-01 03:12:11",{"title":6700,"description":63},{"loc":6798},"14ef085d7faf2bc0","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=_PdK6x7PQNM","summaries\u002F14ef085d7faf2bc0-data-quality-as-a-compute-multiplier-summary",[97,98,99,6809],"machine-learning","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002F_PdK6x7PQNM\u002Fhqdefault.jpg","Data quality is the most underinvested lever in model training. By curating for signal-per-token rather than raw volume, builders can achieve frontier-level performance with significantly less compute, effectively bending scaling laws.","This talk argues that data curation is a more cost-effective way to improve model performance than simply buying more compute. The speaker outlines a \"data refinery\" approach—cleaning, curating, creating, and composing—to maximize signal per token, using [DatologyAI](https:\u002F\u002Fwww.datologyai.com) research to show how smaller, better-curated datasets can outperform much larger ones.",[],"jLCTFGwKfDqtfWo0-3Vg5oqTxB4srFJ-4YRqdT0Nlw8",{"id":6816,"title":6817,"ai":6818,"body":6823,"categories":6903,"created_at":71,"date_modified":71,"description":63,"extension":72,"faq":71,"featured":73,"kicker_label":71,"meta":6904,"navigation":87,"path":6918,"published_at":6919,"question":71,"scraped_at":6920,"seo":6921,"sitemap":6922,"source_id":6923,"source_name":6804,"source_type":6805,"source_url":6924,"stem":6925,"tags":6926,"thumbnail_url":6928,"tldr":6929,"tweet":6930,"unknown_tags":6931,"__hash__":6932},"summaries\u002Fsummaries\u002Fbe0fbb5c7da0813b-data-curation-strategies-for-post-training-llms-an-summary.md","Data Curation Strategies for Post-Training LLMs and Agents",{"provider":7,"model":8,"input_tokens":6819,"output_tokens":6820,"processing_time_ms":6821,"cost_usd":6822},7171,648,2835,0.00276475,{"type":14,"value":6824,"toc":6898},[6825,6829,6832,6836,6839,6865,6869,6872],[17,6826,6828],{"id":6827},"the-shift-from-knowledge-to-agency","The Shift from Knowledge to Agency",[22,6830,6831],{},"Modern AI development has moved beyond testing models on static knowledge benchmarks toward evaluating agentic autonomy. The primary barrier to long-horizon agent reliability is not model architecture, but the quality of the data and reinforcement learning (RL) environments used during post-training. Bespoke Labs argues that RL environments are essentially a specialized form of data, and treating them with the same rigor as supervised fine-tuning (SFT) sets is critical for production success.",[17,6833,6835],{"id":6834},"curation-recipes-and-counterintuitive-lessons","Curation Recipes and Counterintuitive Lessons",[22,6837,6838],{},"Through the development of the OpenThoughts reasoning dataset, the team identified that a disciplined curation stack is the primary driver of model capability. Key findings include:",[33,6840,6841,6847,6853,6859],{},[36,6842,6843,6846],{},[39,6844,6845],{},"Diversity over volume:"," Sampling multiple reasoning traces for a single question is more effective than simply increasing the number of unique questions. This diversity in reasoning paths improves model robustness.",[36,6848,6849,6852],{},[39,6850,6851],{},"Teacher selection:"," Stronger models are not always the best teachers. Specific models (e.g., Qwen) often outperform larger, more general models (e.g., Claude) in specific reasoning tasks.",[36,6854,6855,6858],{},[39,6856,6857],{},"SFT remains foundational:"," While RL is powerful for final performance gains, SFT provides the bulk of the capability improvements for most enterprise use cases.",[36,6860,6861,6864],{},[39,6862,6863],{},"Task-specific tagging:"," In production scenarios, such as credit card compliance, adding structural tags to data helps models focus on compliance rules rather than hallucinating specific numerical values, significantly improving metrics and reducing latency.",[17,6866,6868],{"id":6867},"the-emerging-post-training-stack","The Emerging Post-Training Stack",[22,6870,6871],{},"Building reliable agents requires a multi-layered infrastructure stack that goes beyond simple model training. This includes:",[33,6873,6874,6880,6886,6892],{},[36,6875,6876,6879],{},[39,6877,6878],{},"Environment Orchestration:"," Tools to manage sandboxes, generate rollouts, and handle checkpointing\u002Fsnapshotting for long-horizon tasks.",[36,6881,6882,6885],{},[39,6883,6884],{},"Curation Tooling:"," Systems like Curator that manage the pipeline from source prompts to filtered, high-quality training data.",[36,6887,6888,6891],{},[39,6889,6890],{},"Prompt Optimization:"," Integrating techniques like Japa (LLM-based prompt optimization via reflection) to refine system prompts and harnesses alongside model weights.",[36,6893,6894,6897],{},[39,6895,6896],{},"Measurement:"," Tracking versioning and quality metrics across both data and environment configurations to ensure reproducible improvements.",{"title":63,"searchDepth":64,"depth":64,"links":6899},[6900,6901,6902],{"id":6827,"depth":64,"text":6828},{"id":6834,"depth":64,"text":6835},{"id":6867,"depth":64,"text":6868},[70],{"content_references":6905,"triage":6916},[6906,6909,6912,6914],{"type":6602,"title":6907,"context":6908},"Curator","recommended",{"type":6910,"title":6911,"context":80},"other","OpenThoughts",{"type":6910,"title":6913,"context":6605},"Terminal Bench",{"type":6910,"title":6915,"context":6605},"LiveCodeBench",{"relevance":82,"novelty":83,"quality":83,"actionability":83,"composite":6796,"reasoning":6917},"Category: AI & LLMs. The article discusses practical data curation strategies for enhancing the reliability of LLMs and agents, addressing a key pain point for developers looking to implement AI features effectively. It provides actionable insights like the importance of diversity in data sampling and task-specific tagging, which can be directly applied in product development.","\u002Fsummaries\u002Fbe0fbb5c7da0813b-data-curation-strategies-for-post-training-llms-an-summary","2026-07-31 22:00:06","2026-08-01 03:12:21",{"title":6817,"description":63},{"loc":6918},"be0fbb5c7da0813b","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=ewtOo0scUh0","summaries\u002Fbe0fbb5c7da0813b-data-curation-strategies-for-post-training-llms-an-summary",[97,6927,99,98],"agents","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FewtOo0scUh0\u002Fhqdefault.jpg","Reliability in autonomous agents is achieved through disciplined data and environment curation rather than just compute, utilizing techniques like multi-answer sampling and targeted SFT.","This talk outlines the philosophy behind [Bespoke Labs](https:\u002F\u002Fbespokelabs.ai), arguing that the primary bottleneck in post-training isn't compute, but the systematic curation of data and reinforcement learning environments. The speaker details lessons learned from building [OpenThoughts](https:\u002F\u002Fopen-thoughts.github.io), emphasizing that high-quality reasoning models are built through iterative ablations of data mixtures rather than just scaling raw volume.",[],"rnfDZKLQaLaYQpKHvIow598tIkepHqQPVw6WacqJZRo"]