[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-d140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary":3,"summaries-facets-categories":134,"summary-related-d140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary":6552},{"id":4,"title":5,"ai":6,"body":13,"categories":91,"created_at":93,"date_modified":93,"description":85,"extension":94,"faq":93,"featured":95,"kicker_label":93,"meta":96,"navigation":113,"path":114,"published_at":115,"question":93,"scraped_at":116,"seo":117,"sitemap":118,"source_id":119,"source_name":120,"source_type":121,"source_url":122,"stem":123,"tags":124,"thumbnail_url":129,"tldr":130,"tweet":131,"unknown_tags":132,"__hash__":133},"summaries\u002Fsummaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary.md","Decoupling AI Tasks from Model Implementation with DSPy",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",6928,659,3401,0.0027205,{"type":14,"value":15,"toc":84},"minimark",[16,21,30,34,37,59,63,66,69],[17,18,20],"h2",{"id":19},"the-case-for-functional-ai-programming","The Case for Functional AI Programming",[22,23,24,25,29],"p",{},"Modern AI development often suffers from \"prompt engineering\" fragility, where workflows are tightly coupled to specific model behaviors or prompt templates. DSPy proposes treating AI tasks as standard software functions: reusable, composable, and testable. By defining a clear contract—a ",[26,27,28],"strong",{},"Signature","—that specifies inputs and outputs, developers can treat the underlying AI implementation as a black box. This separation allows developers to swap models, integrate new techniques (like agents or tools), or change prompting strategies without altering the business logic.",[17,31,33],{"id":32},"the-three-pillars-of-task-specification","The Three Pillars of Task Specification",[22,35,36],{},"To move beyond manual prompt tuning and enable automatic optimization, DSPy requires three distinct components to fully specify a task:",[38,39,40,47,53],"ol",{},[41,42,43,46],"li",{},[26,44,45],{},"Instructions (Specs):"," Natural language definitions of what the task should achieve, independent of the model provider or specific prompt format.",[41,48,49,52],{},[26,50,51],{},"Code (Constraints):"," Programmatic logic that enforces requirements. This allows for \"loop engineering,\" where the system can automatically retry tasks, validate outputs (e.g., ensuring a value is not negative), or branch into more complex reasoning (Chain-of-Thought) if a simple pass fails.",[41,54,55,58],{},[26,56,57],{},"Evals (What Good Looks Like):"," A metric-driven approach to performance. By defining what success looks like, developers can use optimizers to automatically tune prompts, few-shot examples, and even model harnesses to climb the performance \"hill.\"",[17,60,62],{"id":61},"future-proofing-with-modular-ecosystems","Future-Proofing with Modular Ecosystems",[22,64,65],{},"This architecture enables \"last-mile\" AI engineering. Because the implementation is decoupled from the signature, developers can integrate cutting-edge research—such as Recursive Language Models (RLMs) or new prompt optimizers—with minimal code changes.",[22,67,68],{},"Looking ahead, the DSPy team is moving toward:",[70,71,72,78],"ul",{},[41,73,74,77],{},[26,75,76],{},"DSPy Flex:"," Learning a custom harness over time to solve specific functions, moving beyond simple prompt optimization to code-level optimization.",[41,79,80,83],{},[26,81,82],{},"Qualitative Learning:"," Using real-world production feedback (traces, user actions) to automatically refine evaluation metrics. The goal is to allow models to interpret textual feedback and iteratively improve their own performance against the actual business problem, rather than relying on static, hand-crafted benchmarks.",{"title":85,"searchDepth":86,"depth":86,"links":87},"",2,[88,89,90],{"id":19,"depth":86,"text":20},{"id":32,"depth":86,"text":33},{"id":61,"depth":86,"text":62},[92],"AI & LLMs",null,"md",false,{"content_references":97,"triage":108},[98,103],{"type":99,"title":100,"url":101,"context":102},"tool","DSPy","https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002Fdspy","recommended",{"type":104,"title":105,"author":106,"context":107},"paper","Recursive Language Models","Alex Zang","mentioned",{"relevance":109,"novelty":110,"quality":110,"actionability":110,"composite":111,"reasoning":112},5,4,4.35,"Category: AI & LLMs. The article provides a detailed framework for decoupling AI tasks from model implementation, addressing a key pain point for developers who struggle with prompt engineering fragility. It offers actionable insights on how to define AI tasks through signatures, which can be directly applied to improve AI workflows.",true,"\u002Fsummaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary","2026-07-23 17:45:06","2026-07-23 18:18:48",{"title":5,"description":85},{"loc":114},"d140953fe4179f6a","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=GgLQ02aO-hs","summaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary",[125,126,127,128],"llm","ai-tools","python","software-engineering","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FGgLQ02aO-hs\u002Fhqdefault.jpg","By defining AI tasks through signatures (inputs\u002Foutputs) rather than specific prompts, developers can treat LLM logic as modular, optimizable functions, allowing them to swap models and techniques without rewriting the core workflow.","This talk advocates for using [DSPy](https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002Fdspy) to decouple AI task definitions from their underlying implementation. The speakers explain how defining \"signatures\" (inputs and outputs) allows developers to swap models, prompts, and optimization strategies without rewriting the core application logic.",[128],"ueRl4GqktWNaHS5uTcd2aMBmfMzJjo31qUFmsz5zzcI",[135,137,140,142,145,147,150,153,155,157,159,162,164,166,168,170,173,175,177,179,181,184,187,189,191,193,195,197,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,230,232,234,236,238,240,242,244,246,248,250,252,254,256,259,261,263,265,267,269,271,273,275,277,279,281,283,285,287,289,291,293,296,298,300,302,304,306,308,310,312,314,316,318,320,322,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,388,390,392,394,396,398,400,402,404,406,408,411,413,415,417,419,421,423,425,427,429,431,433,435,437,439,441,444,446,448,450,452,454,456,458,460,462,464,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,509,511,513,515,517,519,522,524,526,529,531,533,535,537,539,541,543,545,547,549,551,553,555,558,560,562,564,566,568,570,572,574,576,578,580,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,855,858,860,862,864,866,869,871,873,875,877,879,881,883,885,887,889,891,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1723,1725,1727,1729,1731,1733,1735,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2207,2209,2211,2213,2215,2217,2219,2221,2223,2225,2227,2229,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2320,2322,2324,2326,2328,2330,2332,2334,2336,2338,2340,2342,2344,2346,2348,2350,2352,2354,2356,2358,2361,2363,2365,2367,2369,2371,2373,2375,2377,2379,2381,2383,2385,2387,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2962,2964,2966,2968,2970,2972,2974,2976,2978,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3077,3079,3081,3083,3085,3087,3089,3091,3093,3095,3097,3099,3101,3103,3105,3107,3109,3111,3113,3115,3117,3119,3121,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4264,4266,4268,4270,4272,4274,4276,4278,4280,4282,4284,4286,4288,4290,4292,4294,4296,4298,4300,4302,4304,4306,4308,4310,4312,4314,4316,4318,4320,4322,4324,4326,4328,4330,4332,4334,4336,4338,4340,4342,4344,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5061,5063,5065,5067,5069,5071,5073,5075,5077,5079,5081,5083,5085,5087,5089,5091,5093,5095,5097,5099,5101,5103,5105,5107,5109,5111,5113,5115,5117,5119,5121,5123,5125,5127,5129,5131,5133,5135,5137,5139,5141,5143,5145,5147,5149,5151,5153,5155,5157,5159,5161,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5252,5254,5256,5258,5260,5262,5264,5266,5268,5270,5272,5274,5276,5278,5280,5282,5284,5286,5288,5290,5292,5294,5296,5298,5300,5302,5304,5306,5308,5310,5312,5314,5316,5318,5320,5322,5324,5326,5328,5330,5332,5334,5336,5338,5340,5342,5344,5346,5348,5350,5352,5354,5356,5358,5360,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550],{"categories":136},[92],{"categories":138},[139],"Developer Productivity",{"categories":141},[92],{"categories":143},[144],"Business & SaaS",{"categories":146},[92],{"categories":148},[149],"AI Automation",{"categories":151},[152],"Product Strategy",{"categories":154},[92],{"categories":156},[139],{"categories":158},[149],{"categories":160},[161],"Software Engineering",{"categories":163},[92],{"categories":165},[144],{"categories":167},[],{"categories":169},[92],{"categories":171},[172],"Inference & Serving",{"categories":174},[92],{"categories":176},[92],{"categories":178},[149],{"categories":180},[],{"categories":182},[183],"AI News & Trends",{"categories":185},[186],"Data Science & Visualization",{"categories":188},[149],{"categories":190},[92],{"categories":192},[92],{"categories":194},[144],{"categories":196},[139],{"categories":198},[92],{"categories":200},[149],{"categories":202},[183],{"categories":204},[149],{"categories":206},[149],{"categories":208},[92],{"categories":210},[149],{"categories":212},[92],{"categories":214},[92],{"categories":216},[92],{"categories":218},[183],{"categories":220},[92],{"categories":222},[92],{"categories":224},[92],{"categories":226},[],{"categories":228},[229],"Design & Frontend",{"categories":231},[186],{"categories":233},[183],{"categories":235},[92],{"categories":237},[92],{"categories":239},[92],{"categories":241},[],{"categories":243},[92],{"categories":245},[92],{"categories":247},[149],{"categories":249},[161],{"categories":251},[92],{"categories":253},[149],{"categories":255},[92],{"categories":257},[258],"Marketing & Growth",{"categories":260},[229],{"categories":262},[92],{"categories":264},[149],{"categories":266},[92],{"categories":268},[161],{"categories":270},[],{"categories":272},[],{"categories":274},[229],{"categories":276},[92],{"categories":278},[149],{"categories":280},[139],{"categories":282},[161],{"categories":284},[149],{"categories":286},[229],{"categories":288},[152],{"categories":290},[92],{"categories":292},[161],{"categories":294},[295],"DevOps & Cloud",{"categories":297},[149],{"categories":299},[152],{"categories":301},[183],{"categories":303},[92],{"categories":305},[],{"categories":307},[92],{"categories":309},[92],{"categories":311},[],{"categories":313},[149],{"categories":315},[161],{"categories":317},[],{"categories":319},[161],{"categories":321},[92],{"categories":323},[324],"Governance & Standards",{"categories":326},[144],{"categories":328},[],{"categories":330},[],{"categories":332},[92],{"categories":334},[92],{"categories":336},[149],{"categories":338},[92],{"categories":340},[92],{"categories":342},[149],{"categories":344},[92],{"categories":346},[92],{"categories":348},[92],{"categories":350},[],{"categories":352},[161],{"categories":354},[],{"categories":356},[],{"categories":358},[92],{"categories":360},[161],{"categories":362},[],{"categories":364},[161],{"categories":366},[92],{"categories":368},[92],{"categories":370},[258],{"categories":372},[92],{"categories":374},[92],{"categories":376},[229],{"categories":378},[229],{"categories":380},[92],{"categories":382},[161],{"categories":384},[149],{"categories":386},[387],"GovTech & Public-Sector Adoption",{"categories":389},[161],{"categories":391},[92],{"categories":393},[92],{"categories":395},[92],{"categories":397},[149],{"categories":399},[149],{"categories":401},[186],{"categories":403},[92],{"categories":405},[183],{"categories":407},[149],{"categories":409},[410],"Legal AI Tools",{"categories":412},[92],{"categories":414},[149],{"categories":416},[92],{"categories":418},[258],{"categories":420},[149],{"categories":422},[152],{"categories":424},[92],{"categories":426},[161],{"categories":428},[387],{"categories":430},[],{"categories":432},[149],{"categories":434},[],{"categories":436},[144],{"categories":438},[149],{"categories":440},[149],{"categories":442},[443],"RAG & Retrieval",{"categories":445},[144],{"categories":447},[92],{"categories":449},[161],{"categories":451},[161],{"categories":453},[295],{"categories":455},[229],{"categories":457},[149],{"categories":459},[92],{"categories":461},[92],{"categories":463},[],{"categories":465},[466],"Agents & Orchestration",{"categories":468},[161],{"categories":470},[92],{"categories":472},[],{"categories":474},[149],{"categories":476},[144],{"categories":478},[],{"categories":480},[92],{"categories":482},[],{"categories":484},[92],{"categories":486},[139],{"categories":488},[161],{"categories":490},[144],{"categories":492},[92],{"categories":494},[149],{"categories":496},[92],{"categories":498},[183],{"categories":500},[92],{"categories":502},[],{"categories":504},[92],{"categories":506},[],{"categories":508},[161],{"categories":510},[92],{"categories":512},[186],{"categories":514},[],{"categories":516},[92],{"categories":518},[229],{"categories":520},[521],"Models & Frontier Labs",{"categories":523},[],{"categories":525},[229],{"categories":527},[528],"Regulation & Governance of AI",{"categories":530},[149],{"categories":532},[],{"categories":534},[92],{"categories":536},[92],{"categories":538},[149],{"categories":540},[183],{"categories":542},[144],{"categories":544},[92],{"categories":546},[],{"categories":548},[161],{"categories":550},[149],{"categories":552},[92],{"categories":554},[152],{"categories":556},[557],"AI Policy & Regulation",{"categories":559},[],{"categories":561},[92],{"categories":563},[149],{"categories":565},[152],{"categories":567},[149],{"categories":569},[92],{"categories":571},[92],{"categories":573},[92],{"categories":575},[149],{"categories":577},[],{"categories":579},[186],{"categories":581},[582],"Evals & Reliability",{"categories":584},[92],{"categories":586},[92],{"categories":588},[],{"categories":590},[139],{"categories":592},[387],{"categories":594},[557],{"categories":596},[92],{"categories":598},[144],{"categories":600},[92],{"categories":602},[149],{"categories":604},[92],{"categories":606},[149],{"categories":608},[466],{"categories":610},[92],{"categories":612},[161],{"categories":614},[92],{"categories":616},[],{"categories":618},[],{"categories":620},[92],{"categories":622},[387],{"categories":624},[92],{"categories":626},[92],{"categories":628},[92],{"categories":630},[],{"categories":632},[229],{"categories":634},[],{"categories":636},[92],{"categories":638},[],{"categories":640},[149],{"categories":642},[92],{"categories":644},[229],{"categories":646},[],{"categories":648},[92],{"categories":650},[92],{"categories":652},[186],{"categories":654},[149],{"categories":656},[92],{"categories":658},[144],{"categories":660},[149],{"categories":662},[92],{"categories":664},[92],{"categories":666},[161],{"categories":668},[229],{"categories":670},[92],{"categories":672},[149],{"categories":674},[],{"categories":676},[161],{"categories":678},[149],{"categories":680},[186],{"categories":682},[],{"categories":684},[92],{"categories":686},[183],{"categories":688},[92],{"categories":690},[],{"categories":692},[92],{"categories":694},[92],{"categories":696},[92],{"categories":698},[144,258],{"categories":700},[],{"categories":702},[92],{"categories":704},[92],{"categories":706},[149],{"categories":708},[92],{"categories":710},[],{"categories":712},[],{"categories":714},[92],{"categories":716},[229],{"categories":718},[92],{"categories":720},[],{"categories":722},[92],{"categories":724},[295],{"categories":726},[],{"categories":728},[149],{"categories":730},[183],{"categories":732},[92],{"categories":734},[92],{"categories":736},[229],{"categories":738},[],{"categories":740},[183],{"categories":742},[92],{"categories":744},[172],{"categories":746},[92],{"categories":748},[92],{"categories":750},[149],{"categories":752},[183],{"categories":754},[521],{"categories":756},[92],{"categories":758},[258],{"categories":760},[],{"categories":762},[149],{"categories":764},[144],{"categories":766},[161],{"categories":768},[92],{"categories":770},[149],{"categories":772},[],{"categories":774},[92,295],{"categories":776},[92],{"categories":778},[92],{"categories":780},[92],{"categories":782},[149],{"categories":784},[92,161],{"categories":786},[186],{"categories":788},[92],{"categories":790},[92],{"categories":792},[161],{"categories":794},[92],{"categories":796},[149],{"categories":798},[557],{"categories":800},[258],{"categories":802},[92],{"categories":804},[149],{"categories":806},[92],{"categories":808},[92],{"categories":810},[149],{"categories":812},[],{"categories":814},[149],{"categories":816},[92],{"categories":818},[92],{"categories":820},[149],{"categories":822},[92],{"categories":824},[92,144],{"categories":826},[92],{"categories":828},[144],{"categories":830},[],{"categories":832},[229],{"categories":834},[229],{"categories":836},[92],{"categories":838},[],{"categories":840},[],{"categories":842},[92],{"categories":844},[183],{"categories":846},[],{"categories":848},[139],{"categories":850},[92],{"categories":852},[161],{"categories":854},[92],{"categories":856},[857],"Generative UI & Design-to-Code",{"categories":859},[92],{"categories":861},[92],{"categories":863},[229],{"categories":865},[92],{"categories":867},[868],"Algorithmic Accountability",{"categories":870},[149],{"categories":872},[161],{"categories":874},[183],{"categories":876},[229],{"categories":878},[92],{"categories":880},[],{"categories":882},[152],{"categories":884},[92],{"categories":886},[92],{"categories":888},[92],{"categories":890},[149],{"categories":892},[893],"MLOps & Infrastructure",{"categories":895},[92],{"categories":897},[92],{"categories":899},[92],{"categories":901},[92],{"categories":903},[92],{"categories":905},[183],{"categories":907},[152],{"categories":909},[139],{"categories":911},[92],{"categories":913},[149],{"categories":915},[295],{"categories":917},[92],{"categories":919},[144],{"categories":921},[92],{"categories":923},[229],{"categories":925},[92],{"categories":927},[92],{"categories":929},[149],{"categories":931},[],{"categories":933},[],{"categories":935},[92],{"categories":937},[172],{"categories":939},[229],{"categories":941},[183],{"categories":943},[186],{"categories":945},[],{"categories":947},[92],{"categories":949},[92],{"categories":951},[144],{"categories":953},[149],{"categories":955},[92],{"categories":957},[92],{"categories":959},[92],{"categories":961},[92],{"categories":963},[183],{"categories":965},[172],{"categories":967},[92],{"categories":969},[229],{"categories":971},[92],{"categories":973},[],{"categories":975},[149],{"categories":977},[161],{"categories":979},[],{"categories":981},[92],{"categories":983},[92],{"categories":985},[149],{"categories":987},[161],{"categories":989},[92],{"categories":991},[186],{"categories":993},[],{"categories":995},[92],{"categories":997},[],{"categories":999},[92],{"categories":1001},[],{"categories":1003},[152],{"categories":1005},[144],{"categories":1007},[149],{"categories":1009},[149],{"categories":1011},[],{"categories":1013},[139],{"categories":1015},[92],{"categories":1017},[92],{"categories":1019},[144],{"categories":1021},[183],{"categories":1023},[139],{"categories":1025},[],{"categories":1027},[92],{"categories":1029},[],{"categories":1031},[],{"categories":1033},[183],{"categories":1035},[183],{"categories":1037},[],{"categories":1039},[466],{"categories":1041},[92],{"categories":1043},[229],{"categories":1045},[161],{"categories":1047},[],{"categories":1049},[410],{"categories":1051},[149],{"categories":1053},[144],{"categories":1055},[],{"categories":1057},[],{"categories":1059},[139],{"categories":1061},[186],{"categories":1063},[],{"categories":1065},[258],{"categories":1067},[149],{"categories":1069},[144],{"categories":1071},[149],{"categories":1073},[144],{"categories":1075},[92],{"categories":1077},[161],{"categories":1079},[],{"categories":1081},[172],{"categories":1083},[152],{"categories":1085},[92],{"categories":1087},[229],{"categories":1089},[161],{"categories":1091},[144],{"categories":1093},[92],{"categories":1095},[149],{"categories":1097},[144],{"categories":1099},[92],{"categories":1101},[92],{"categories":1103},[92],{"categories":1105},[92],{"categories":1107},[92],{"categories":1109},[],{"categories":1111},[],{"categories":1113},[161],{"categories":1115},[186],{"categories":1117},[152],{"categories":1119},[92],{"categories":1121},[149],{"categories":1123},[161],{"categories":1125},[92],{"categories":1127},[],{"categories":1129},[183],{"categories":1131},[152],{"categories":1133},[161],{"categories":1135},[92],{"categories":1137},[582],{"categories":1139},[295],{"categories":1141},[],{"categories":1143},[149],{"categories":1145},[92],{"categories":1147},[],{"categories":1149},[139],{"categories":1151},[],{"categories":1153},[92],{"categories":1155},[92],{"categories":1157},[92],{"categories":1159},[229],{"categories":1161},[258],{"categories":1163},[92],{"categories":1165},[161],{"categories":1167},[92],{"categories":1169},[149],{"categories":1171},[],{"categories":1173},[161],{"categories":1175},[92],{"categories":1177},[139],{"categories":1179},[],{"categories":1181},[144],{"categories":1183},[92],{"categories":1185},[183],{"categories":1187},[92,295],{"categories":1189},[92],{"categories":1191},[1192],"Design Systems for AI",{"categories":1194},[92],{"categories":1196},[92],{"categories":1198},[183],{"categories":1200},[92],{"categories":1202},[92],{"categories":1204},[92],{"categories":1206},[144],{"categories":1208},[92],{"categories":1210},[92],{"categories":1212},[92],{"categories":1214},[],{"categories":1216},[92],{"categories":1218},[92],{"categories":1220},[144],{"categories":1222},[92],{"categories":1224},[],{"categories":1226},[149],{"categories":1228},[161],{"categories":1230},[183],{"categories":1232},[161],{"categories":1234},[92],{"categories":1236},[229],{"categories":1238},[183],{"categories":1240},[186],{"categories":1242},[92],{"categories":1244},[92],{"categories":1246},[149],{"categories":1248},[139],{"categories":1250},[557],{"categories":1252},[92],{"categories":1254},[149],{"categories":1256},[92],{"categories":1258},[161],{"categories":1260},[161],{"categories":1262},[],{"categories":1264},[],{"categories":1266},[149],{"categories":1268},[152],{"categories":1270},[],{"categories":1272},[144],{"categories":1274},[92],{"categories":1276},[],{"categories":1278},[229],{"categories":1280},[149],{"categories":1282},[161],{"categories":1284},[229],{"categories":1286},[92],{"categories":1288},[92],{"categories":1290},[229],{"categories":1292},[],{"categories":1294},[],{"categories":1296},[183],{"categories":1298},[149],{"categories":1300},[149],{"categories":1302},[92],{"categories":1304},[92],{"categories":1306},[92],{"categories":1308},[92],{"categories":1310},[144],{"categories":1312},[92],{"categories":1314},[92],{"categories":1316},[],{"categories":1318},[161],{"categories":1320},[161],{"categories":1322},[92],{"categories":1324},[161],{"categories":1326},[144],{"categories":1328},[],{"categories":1330},[92],{"categories":1332},[92],{"categories":1334},[92],{"categories":1336},[92],{"categories":1338},[92],{"categories":1340},[149],{"categories":1342},[139],{"categories":1344},[144],{"categories":1346},[92],{"categories":1348},[149],{"categories":1350},[183],{"categories":1352},[149],{"categories":1354},[172],{"categories":1356},[258],{"categories":1358},[92],{"categories":1360},[149],{"categories":1362},[92],{"categories":1364},[92],{"categories":1366},[],{"categories":1368},[229],{"categories":1370},[],{"categories":1372},[92],{"categories":1374},[92],{"categories":1376},[],{"categories":1378},[161],{"categories":1380},[144],{"categories":1382},[1383],"Visual & Generative Media",{"categories":1385},[149],{"categories":1387},[],{"categories":1389},[92],{"categories":1391},[92],{"categories":1393},[161],{"categories":1395},[295],{"categories":1397},[186],{"categories":1399},[557],{"categories":1401},[161],{"categories":1403},[258],{"categories":1405},[92],{"categories":1407},[229],{"categories":1409},[92],{"categories":1411},[92],{"categories":1413},[161],{"categories":1415},[149],{"categories":1417},[92],{"categories":1419},[],{"categories":1421},[],{"categories":1423},[149],{"categories":1425},[161],{"categories":1427},[139],{"categories":1429},[149],{"categories":1431},[521],{"categories":1433},[92],{"categories":1435},[152],{"categories":1437},[92],{"categories":1439},[144],{"categories":1441},[],{"categories":1443},[92],{"categories":1445},[152],{"categories":1447},[92],{"categories":1449},[92],{"categories":1451},[92],{"categories":1453},[152],{"categories":1455},[92],{"categories":1457},[92],{"categories":1459},[258],{"categories":1461},[92],{"categories":1463},[466],{"categories":1465},[92],{"categories":1467},[149],{"categories":1469},[92],{"categories":1471},[92],{"categories":1473},[92],{"categories":1475},[92],{"categories":1477},[229],{"categories":1479},[149],{"categories":1481},[],{"categories":1483},[149],{"categories":1485},[],{"categories":1487},[295],{"categories":1489},[161],{"categories":1491},[],{"categories":1493},[521],{"categories":1495},[92],{"categories":1497},[149],{"categories":1499},[92],{"categories":1501},[229,92],{"categories":1503},[139],{"categories":1505},[92],{"categories":1507},[229],{"categories":1509},[],{"categories":1511},[92],{"categories":1513},[139],{"categories":1515},[1516],"Medical Imaging & Radiology",{"categories":1518},[92],{"categories":1520},[229],{"categories":1522},[149],{"categories":1524},[161],{"categories":1526},[],{"categories":1528},[92],{"categories":1530},[92],{"categories":1532},[92],{"categories":1534},[],{"categories":1536},[],{"categories":1538},[92],{"categories":1540},[466],{"categories":1542},[92],{"categories":1544},[139],{"categories":1546},[92],{"categories":1548},[92],{"categories":1550},[],{"categories":1552},[149],{"categories":1554},[92],{"categories":1556},[152],{"categories":1558},[161],{"categories":1560},[92],{"categories":1562},[466],{"categories":1564},[92],{"categories":1566},[149],{"categories":1568},[92],{"categories":1570},[92],{"categories":1572},[92],{"categories":1574},[229],{"categories":1576},[149],{"categories":1578},[295],{"categories":1580},[229],{"categories":1582},[144],{"categories":1584},[149],{"categories":1586},[183],{"categories":1588},[92],{"categories":1590},[92],{"categories":1592},[152],{"categories":1594},[92],{"categories":1596},[92],{"categories":1598},[92],{"categories":1600},[149],{"categories":1602},[161],{"categories":1604},[161],{"categories":1606},[92],{"categories":1608},[152],{"categories":1610},[],{"categories":1612},[183],{"categories":1614},[],{"categories":1616},[152],{"categories":1618},[149],{"categories":1620},[92],{"categories":1622},[149],{"categories":1624},[1192],{"categories":1626},[1192],{"categories":1628},[229],{"categories":1630},[92],{"categories":1632},[92],{"categories":1634},[149],{"categories":1636},[161],{"categories":1638},[229],{"categories":1640},[149],{"categories":1642},[183],{"categories":1644},[],{"categories":1646},[92],{"categories":1648},[],{"categories":1650},[92],{"categories":1652},[92],{"categories":1654},[92],{"categories":1656},[92],{"categories":1658},[149],{"categories":1660},[1661],"Contract Review & E-Discovery",{"categories":1663},[92],{"categories":1665},[229],{"categories":1667},[92],{"categories":1669},[139],{"categories":1671},[92],{"categories":1673},[183],{"categories":1675},[92],{"categories":1677},[92],{"categories":1679},[258],{"categories":1681},[161],{"categories":1683},[92],{"categories":1685},[92],{"categories":1687},[149],{"categories":1689},[149],{"categories":1691},[868],{"categories":1693},[92],{"categories":1695},[92],{"categories":1697},[149],{"categories":1699},[149],{"categories":1701},[92],{"categories":1703},[92],{"categories":1705},[149],{"categories":1707},[92],{"categories":1709},[92],{"categories":1711},[466],{"categories":1713},[443],{"categories":1715},[92],{"categories":1717},[149],{"categories":1719},[92],{"categories":1721},[1722],"Law-Firm Practice & Adoption",{"categories":1724},[92],{"categories":1726},[149],{"categories":1728},[229],{"categories":1730},[92],{"categories":1732},[92],{"categories":1734},[92],{"categories":1736},[],{"categories":1738},[],{"categories":1740},[161],{"categories":1742},[92],{"categories":1744},[],{"categories":1746},[149],{"categories":1748},[139],{"categories":1750},[295],{"categories":1752},[92],{"categories":1754},[],{"categories":1756},[139],{"categories":1758},[144],{"categories":1760},[92],{"categories":1762},[258],{"categories":1764},[],{"categories":1766},[144],{"categories":1768},[144],{"categories":1770},[],{"categories":1772},[92],{"categories":1774},[152],{"categories":1776},[92],{"categories":1778},[161],{"categories":1780},[],{"categories":1782},[],{"categories":1784},[],{"categories":1786},[],{"categories":1788},[92],{"categories":1790},[149],{"categories":1792},[295],{"categories":1794},[92],{"categories":1796},[139],{"categories":1798},[161],{"categories":1800},[92],{"categories":1802},[92],{"categories":1804},[161],{"categories":1806},[152],{"categories":1808},[92],{"categories":1810},[92],{"categories":1812},[92],{"categories":1814},[893],{"categories":1816},[92],{"categories":1818},[92],{"categories":1820},[258],{"categories":1822},[161],{"categories":1824},[144],{"categories":1826},[92],{"categories":1828},[92],{"categories":1830},[229],{"categories":1832},[92],{"categories":1834},[92],{"categories":1836},[92],{"categories":1838},[92],{"categories":1840},[149],{"categories":1842},[92,139],{"categories":1844},[466],{"categories":1846},[92],{"categories":1848},[92],{"categories":1850},[161],{"categories":1852},[161],{"categories":1854},[229],{"categories":1856},[149],{"categories":1858},[161],{"categories":1860},[92],{"categories":1862},[92],{"categories":1864},[],{"categories":1866},[],{"categories":1868},[92],{"categories":1870},[149],{"categories":1872},[],{"categories":1874},[92],{"categories":1876},[161],{"categories":1878},[186],{"categories":1880},[183],{"categories":1882},[229],{"categories":1884},[92],{"categories":1886},[92],{"categories":1888},[161],{"categories":1890},[],{"categories":1892},[149],{"categories":1894},[92],{"categories":1896},[92],{"categories":1898},[92],{"categories":1900},[92],{"categories":1902},[],{"categories":1904},[149],{"categories":1906},[92],{"categories":1908},[92],{"categories":1910},[],{"categories":1912},[149],{"categories":1914},[92],{"categories":1916},[92],{"categories":1918},[144],{"categories":1920},[92],{"categories":1922},[92],{"categories":1924},[],{"categories":1926},[139],{"categories":1928},[92],{"categories":1930},[92],{"categories":1932},[229],{"categories":1934},[161],{"categories":1936},[92],{"categories":1938},[139],{"categories":1940},[92],{"categories":1942},[161],{"categories":1944},[258],{"categories":1946},[149],{"categories":1948},[149],{"categories":1950},[92],{"categories":1952},[92],{"categories":1954},[92,229],{"categories":1956},[92],{"categories":1958},[149],{"categories":1960},[183],{"categories":1962},[92],{"categories":1964},[183],{"categories":1966},[149],{"categories":1968},[229],{"categories":1970},[92],{"categories":1972},[],{"categories":1974},[161],{"categories":1976},[295],{"categories":1978},[229],{"categories":1980},[161],{"categories":1982},[92],{"categories":1984},[152],{"categories":1986},[92],{"categories":1988},[92],{"categories":1990},[149],{"categories":1992},[],{"categories":1994},[],{"categories":1996},[92],{"categories":1998},[],{"categories":2000},[],{"categories":2002},[152],{"categories":2004},[161],{"categories":2006},[92],{"categories":2008},[149],{"categories":2010},[149],{"categories":2012},[144],{"categories":2014},[149],{"categories":2016},[295],{"categories":2018},[92],{"categories":2020},[92],{"categories":2022},[92],{"categories":2024},[172],{"categories":2026},[92],{"categories":2028},[92],{"categories":2030},[161],{"categories":2032},[149],{"categories":2034},[92],{"categories":2036},[92],{"categories":2038},[410],{"categories":2040},[868],{"categories":2042},[],{"categories":2044},[229],{"categories":2046},[1722],{"categories":2048},[161],{"categories":2050},[],{"categories":2052},[],{"categories":2054},[149],{"categories":2056},[],{"categories":2058},[],{"categories":2060},[92],{"categories":2062},[258],{"categories":2064},[92],{"categories":2066},[258],{"categories":2068},[149],{"categories":2070},[92],{"categories":2072},[161],{"categories":2074},[152],{"categories":2076},[],{"categories":2078},[92],{"categories":2080},[92],{"categories":2082},[161],{"categories":2084},[1661],{"categories":2086},[229],{"categories":2088},[229],{"categories":2090},[92],{"categories":2092},[149],{"categories":2094},[139],{"categories":2096},[92],{"categories":2098},[92],{"categories":2100},[92],{"categories":2102},[229],{"categories":2104},[229],{"categories":2106},[149],{"categories":2108},[149],{"categories":2110},[149],{"categories":2112},[92],{"categories":2114},[92],{"categories":2116},[],{"categories":2118},[92],{"categories":2120},[],{"categories":2122},[2123],"Interaction & Product Design",{"categories":2125},[92],{"categories":2127},[149],{"categories":2129},[161],{"categories":2131},[324],{"categories":2133},[183],{"categories":2135},[161],{"categories":2137},[92],{"categories":2139},[92],{"categories":2141},[161],{"categories":2143},[139],{"categories":2145},[149],{"categories":2147},[92],{"categories":2149},[],{"categories":2151},[149],{"categories":2153},[149],{"categories":2155},[],{"categories":2157},[161],{"categories":2159},[92],{"categories":2161},[139],{"categories":2163},[2123],{"categories":2165},[92],{"categories":2167},[139],{"categories":2169},[139],{"categories":2171},[],{"categories":2173},[149],{"categories":2175},[161],{"categories":2177},[],{"categories":2179},[149],{"categories":2181},[183],{"categories":2183},[92],{"categories":2185},[149],{"categories":2187},[92],{"categories":2189},[149],{"categories":2191},[92],{"categories":2193},[92],{"categories":2195},[183],{"categories":2197},[186],{"categories":2199},[92],{"categories":2201},[152],{"categories":2203},[161],{"categories":2205},[2206],"Coding Agents & Dev Productivity",{"categories":2208},[183],{"categories":2210},[229],{"categories":2212},[92],{"categories":2214},[92],{"categories":2216},[],{"categories":2218},[92],{"categories":2220},[868],{"categories":2222},[],{"categories":2224},[92],{"categories":2226},[295],{"categories":2228},[92],{"categories":2230},[183],{"categories":2232},[],{"categories":2234},[],{"categories":2236},[92],{"categories":2238},[],{"categories":2240},[149],{"categories":2242},[92],{"categories":2244},[],{"categories":2246},[161],{"categories":2248},[161],{"categories":2250},[92],{"categories":2252},[186],{"categories":2254},[],{"categories":2256},[92],{"categories":2258},[92],{"categories":2260},[92],{"categories":2262},[186],{"categories":2264},[161],{"categories":2266},[149],{"categories":2268},[],{"categories":2270},[],{"categories":2272},[92],{"categories":2274},[92],{"categories":2276},[149],{"categories":2278},[149],{"categories":2280},[387],{"categories":2282},[161],{"categories":2284},[161],{"categories":2286},[149],{"categories":2288},[183],{"categories":2290},[183],{"categories":2292},[149],{"categories":2294},[149],{"categories":2296},[92],{"categories":2298},[139],{"categories":2300},[2123],{"categories":2302},[92,295],{"categories":2304},[186],{"categories":2306},[],{"categories":2308},[229],{"categories":2310},[161],{"categories":2312},[139],{"categories":2314},[92],{"categories":2316},[149],{"categories":2318},[2319],"The Designer's Role & Craft",{"categories":2321},[229],{"categories":2323},[],{"categories":2325},[149],{"categories":2327},[92],{"categories":2329},[149],{"categories":2331},[149],{"categories":2333},[92],{"categories":2335},[258],{"categories":2337},[92],{"categories":2339},[161],{"categories":2341},[92],{"categories":2343},[229],{"categories":2345},[92],{"categories":2347},[],{"categories":2349},[149],{"categories":2351},[229],{"categories":2353},[92],{"categories":2355},[92],{"categories":2357},[92],{"categories":2359},[2360],"AI UX Patterns",{"categories":2362},[149],{"categories":2364},[149],{"categories":2366},[149],{"categories":2368},[149],{"categories":2370},[258],{"categories":2372},[186],{"categories":2374},[92],{"categories":2376},[149],{"categories":2378},[92],{"categories":2380},[1192],{"categories":2382},[],{"categories":2384},[258],{"categories":2386},[149],{"categories":2388},[183],{"categories":2390},[161],{"categories":2392},[92],{"categories":2394},[149],{"categories":2396},[],{"categories":2398},[],{"categories":2400},[92],{"categories":2402},[149],{"categories":2404},[92],{"categories":2406},[149],{"categories":2408},[387],{"categories":2410},[229],{"categories":2412},[92],{"categories":2414},[183],{"categories":2416},[161],{"categories":2418},[92],{"categories":2420},[149],{"categories":2422},[149],{"categories":2424},[],{"categories":2426},[92],{"categories":2428},[],{"categories":2430},[],{"categories":2432},[92],{"categories":2434},[92],{"categories":2436},[92],{"categories":2438},[149],{"categories":2440},[161],{"categories":2442},[],{"categories":2444},[],{"categories":2446},[186],{"categories":2448},[172],{"categories":2450},[92],{"categories":2452},[92],{"categories":2454},[186],{"categories":2456},[92],{"categories":2458},[183],{"categories":2460},[92],{"categories":2462},[92],{"categories":2464},[92],{"categories":2466},[149],{"categories":2468},[92],{"categories":2470},[149],{"categories":2472},[92],{"categories":2474},[92],{"categories":2476},[149],{"categories":2478},[],{"categories":2480},[],{"categories":2482},[92],{"categories":2484},[295],{"categories":2486},[92],{"categories":2488},[],{"categories":2490},[],{"categories":2492},[229],{"categories":2494},[893],{"categories":2496},[149],{"categories":2498},[139],{"categories":2500},[2319],{"categories":2502},[],{"categories":2504},[],{"categories":2506},[92],{"categories":2508},[],{"categories":2510},[],{"categories":2512},[161],{"categories":2514},[183],{"categories":2516},[258],{"categories":2518},[144],{"categories":2520},[92],{"categories":2522},[92],{"categories":2524},[144],{"categories":2526},[],{"categories":2528},[229],{"categories":2530},[152],{"categories":2532},[92],{"categories":2534},[92],{"categories":2536},[149],{"categories":2538},[144],{"categories":2540},[92],{"categories":2542},[92],{"categories":2544},[139],{"categories":2546},[92],{"categories":2548},[],{"categories":2550},[139],{"categories":2552},[92],{"categories":2554},[258],{"categories":2556},[149],{"categories":2558},[183],{"categories":2560},[92],{"categories":2562},[161],{"categories":2564},[92],{"categories":2566},[92],{"categories":2568},[144],{"categories":2570},[92],{"categories":2572},[92],{"categories":2574},[92],{"categories":2576},[149],{"categories":2578},[],{"categories":2580},[92],{"categories":2582},[161],{"categories":2584},[139],{"categories":2586},[92],{"categories":2588},[92],{"categories":2590},[92],{"categories":2592},[],{"categories":2594},[92],{"categories":2596},[466],{"categories":2598},[149],{"categories":2600},[144],{"categories":2602},[183],{"categories":2604},[92],{"categories":2606},[92],{"categories":2608},[],{"categories":2610},[144],{"categories":2612},[144],{"categories":2614},[92],{"categories":2616},[92],{"categories":2618},[152],{"categories":2620},[92],{"categories":2622},[92],{"categories":2624},[92],{"categories":2626},[92],{"categories":2628},[161],{"categories":2630},[161],{"categories":2632},[92],{"categories":2634},[],{"categories":2636},[161],{"categories":2638},[92],{"categories":2640},[161],{"categories":2642},[149],{"categories":2644},[557],{"categories":2646},[],{"categories":2648},[],{"categories":2650},[92],{"categories":2652},[183],{"categories":2654},[],{"categories":2656},[295],{"categories":2658},[92],{"categories":2660},[92],{"categories":2662},[229],{"categories":2664},[857],{"categories":2666},[],{"categories":2668},[92],{"categories":2670},[92],{"categories":2672},[92],{"categories":2674},[161],{"categories":2676},[92],{"categories":2678},[92],{"categories":2680},[92,295],{"categories":2682},[92],{"categories":2684},[92],{"categories":2686},[229],{"categories":2688},[149],{"categories":2690},[],{"categories":2692},[149],{"categories":2694},[149],{"categories":2696},[92],{"categories":2698},[92],{"categories":2700},[92],{"categories":2702},[92],{"categories":2704},[186],{"categories":2706},[92],{"categories":2708},[2360],{"categories":2710},[139],{"categories":2712},[186],{"categories":2714},[139],{"categories":2716},[161],{"categories":2718},[229],{"categories":2720},[149],{"categories":2722},[92],{"categories":2724},[],{"categories":2726},[144],{"categories":2728},[92],{"categories":2730},[92],{"categories":2732},[183],{"categories":2734},[92],{"categories":2736},[92],{"categories":2738},[149],{"categories":2740},[92],{"categories":2742},[92],{"categories":2744},[92],{"categories":2746},[144],{"categories":2748},[],{"categories":2750},[295],{"categories":2752},[92],{"categories":2754},[387],{"categories":2756},[229],{"categories":2758},[229],{"categories":2760},[161],{"categories":2762},[149],{"categories":2764},[92],{"categories":2766},[144],{"categories":2768},[183],{"categories":2770},[92],{"categories":2772},[92],{"categories":2774},[229],{"categories":2776},[149],{"categories":2778},[149],{"categories":2780},[92],{"categories":2782},[92],{"categories":2784},[521],{"categories":2786},[],{"categories":2788},[92],{"categories":2790},[92],{"categories":2792},[92],{"categories":2794},[],{"categories":2796},[],{"categories":2798},[92],{"categories":2800},[92],{"categories":2802},[149],{"categories":2804},[92],{"categories":2806},[92],{"categories":2808},[92],{"categories":2810},[161],{"categories":2812},[92],{"categories":2814},[92],{"categories":2816},[149],{"categories":2818},[92],{"categories":2820},[92],{"categories":2822},[92],{"categories":2824},[92],{"categories":2826},[92],{"categories":2828},[],{"categories":2830},[161],{"categories":2832},[186],{"categories":2834},[92],{"categories":2836},[149],{"categories":2838},[92],{"categories":2840},[],{"categories":2842},[],{"categories":2844},[92],{"categories":2846},[92],{"categories":2848},[92],{"categories":2850},[183],{"categories":2852},[186],{"categories":2854},[],{"categories":2856},[92],{"categories":2858},[229],{"categories":2860},[92],{"categories":2862},[295],{"categories":2864},[1722],{"categories":2866},[183],{"categories":2868},[161],{"categories":2870},[161],{"categories":2872},[161],{"categories":2874},[92],{"categories":2876},[92],{"categories":2878},[183],{"categories":2880},[183],{"categories":2882},[295],{"categories":2884},[149],{"categories":2886},[],{"categories":2888},[183],{"categories":2890},[92],{"categories":2892},[139],{"categories":2894},[161],{"categories":2896},[92],{"categories":2898},[183],{"categories":2900},[],{"categories":2902},[92],{"categories":2904},[161],{"categories":2906},[161],{"categories":2908},[186],{"categories":2910},[92],{"categories":2912},[183],{"categories":2914},[92],{"categories":2916},[161],{"categories":2918},[149],{"categories":2920},[183],{"categories":2922},[149],{"categories":2924},[295],{"categories":2926},[149],{"categories":2928},[92],{"categories":2930},[92],{"categories":2932},[92],{"categories":2934},[92],{"categories":2936},[161],{"categories":2938},[92],{"categories":2940},[],{"categories":2942},[149],{"categories":2944},[144],{"categories":2946},[161],{"categories":2948},[],{"categories":2950},[],{"categories":2952},[92],{"categories":2954},[149],{"categories":2956},[92],{"categories":2958},[92],{"categories":2960},[2961],"Frameworks & Tooling",{"categories":2963},[92],{"categories":2965},[92],{"categories":2967},[161],{"categories":2969},[92],{"categories":2971},[92],{"categories":2973},[],{"categories":2975},[186],{"categories":2977},[186],{"categories":2979},[139],{"categories":2981},[92],{"categories":2983},[149],{"categories":2985},[92],{"categories":2987},[229],{"categories":2989},[],{"categories":2991},[1722],{"categories":2993},[92],{"categories":2995},[161],{"categories":2997},[92],{"categories":2999},[295],{"categories":3001},[295],{"categories":3003},[],{"categories":3005},[149],{"categories":3007},[92],{"categories":3009},[183],{"categories":3011},[183],{"categories":3013},[92],{"categories":3015},[149],{"categories":3017},[],{"categories":3019},[229],{"categories":3021},[92],{"categories":3023},[92],{"categories":3025},[],{"categories":3027},[92],{"categories":3029},[149],{"categories":3031},[92],{"categories":3033},[92],{"categories":3035},[],{"categories":3037},[161],{"categories":3039},[92],{"categories":3041},[161],{"categories":3043},[295],{"categories":3045},[92],{"categories":3047},[92],{"categories":3049},[161],{"categories":3051},[144],{"categories":3053},[92],{"categories":3055},[1722],{"categories":3057},[],{"categories":3059},[149],{"categories":3061},[139],{"categories":3063},[92],{"categories":3065},[139],{"categories":3067},[92],{"categories":3069},[],{"categories":3071},[149],{"categories":3073},[92],{"categories":3075},[3076],"AI Design Tooling",{"categories":3078},[229],{"categories":3080},[92],{"categories":3082},[92],{"categories":3084},[161],{"categories":3086},[229],{"categories":3088},[92],{"categories":3090},[161],{"categories":3092},[183],{"categories":3094},[152],{"categories":3096},[161],{"categories":3098},[92],{"categories":3100},[92],{"categories":3102},[149],{"categories":3104},[92],{"categories":3106},[],{"categories":3108},[92],{"categories":3110},[92],{"categories":3112},[149],{"categories":3114},[92],{"categories":3116},[92],{"categories":3118},[92],{"categories":3120},[149],{"categories":3122},[],{"categories":3124},[149],{"categories":3126},[2961],{"categories":3128},[92],{"categories":3130},[92],{"categories":3132},[149],{"categories":3134},[149],{"categories":3136},[161],{"categories":3138},[161],{"categories":3140},[],{"categories":3142},[161],{"categories":3144},[92],{"categories":3146},[92],{"categories":3148},[149],{"categories":3150},[144],{"categories":3152},[92],{"categories":3154},[],{"categories":3156},[92],{"categories":3158},[92],{"categories":3160},[2123],{"categories":3162},[],{"categories":3164},[92],{"categories":3166},[92],{"categories":3168},[92],{"categories":3170},[92],{"categories":3172},[229],{"categories":3174},[92],{"categories":3176},[],{"categories":3178},[92],{"categories":3180},[92],{"categories":3182},[92],{"categories":3184},[258],{"categories":3186},[183],{"categories":3188},[92],{"categories":3190},[92],{"categories":3192},[1722],{"categories":3194},[139],{"categories":3196},[92],{"categories":3198},[92],{"categories":3200},[186],{"categories":3202},[92],{"categories":3204},[92],{"categories":3206},[183],{"categories":3208},[149],{"categories":3210},[],{"categories":3212},[92],{"categories":3214},[92],{"categories":3216},[229],{"categories":3218},[92],{"categories":3220},[258],{"categories":3222},[149],{"categories":3224},[92],{"categories":3226},[149],{"categories":3228},[],{"categories":3230},[],{"categories":3232},[],{"categories":3234},[139],{"categories":3236},[183],{"categories":3238},[149],{"categories":3240},[92],{"categories":3242},[92],{"categories":3244},[92],{"categories":3246},[92],{"categories":3248},[410],{"categories":3250},[229],{"categories":3252},[149],{"categories":3254},[92],{"categories":3256},[],{"categories":3258},[149],{"categories":3260},[149],{"categories":3262},[],{"categories":3264},[92],{"categories":3266},[149],{"categories":3268},[92],{"categories":3270},[],{"categories":3272},[92],{"categories":3274},[92],{"categories":3276},[183],{"categories":3278},[229],{"categories":3280},[149],{"categories":3282},[229],{"categories":3284},[149],{"categories":3286},[92],{"categories":3288},[144],{"categories":3290},[],{"categories":3292},[],{"categories":3294},[92],{"categories":3296},[92],{"categories":3298},[139],{"categories":3300},[149],{"categories":3302},[183],{"categories":3304},[],{"categories":3306},[229],{"categories":3308},[],{"categories":3310},[161],{"categories":3312},[92],{"categories":3314},[161],{"categories":3316},[229],{"categories":3318},[161],{"categories":3320},[92],{"categories":3322},[],{"categories":3324},[92],{"categories":3326},[92],{"categories":3328},[],{"categories":3330},[92],{"categories":3332},[258],{"categories":3334},[92],{"categories":3336},[295],{"categories":3338},[161],{"categories":3340},[92],{"categories":3342},[],{"categories":3344},[149],{"categories":3346},[92],{"categories":3348},[139],{"categories":3350},[521],{"categories":3352},[92],{"categories":3354},[149],{"categories":3356},[92],{"categories":3358},[149],{"categories":3360},[92],{"categories":3362},[92],{"categories":3364},[92],{"categories":3366},[],{"categories":3368},[92],{"categories":3370},[139],{"categories":3372},[92],{"categories":3374},[144],{"categories":3376},[161],{"categories":3378},[229],{"categories":3380},[],{"categories":3382},[92],{"categories":3384},[],{"categories":3386},[],{"categories":3388},[149],{"categories":3390},[92],{"categories":3392},[161],{"categories":3394},[229],{"categories":3396},[183],{"categories":3398},[92],{"categories":3400},[183],{"categories":3402},[149],{"categories":3404},[229],{"categories":3406},[92],{"categories":3408},[],{"categories":3410},[92],{"categories":3412},[172],{"categories":3414},[149],{"categories":3416},[229],{"categories":3418},[183],{"categories":3420},[144],{"categories":3422},[161],{"categories":3424},[92],{"categories":3426},[92],{"categories":3428},[183],{"categories":3430},[258],{"categories":3432},[],{"categories":3434},[],{"categories":3436},[186],{"categories":3438},[466],{"categories":3440},[92],{"categories":3442},[149],{"categories":3444},[92,161],{"categories":3446},[183],{"categories":3448},[92],{"categories":3450},[92],{"categories":3452},[92],{"categories":3454},[92],{"categories":3456},[149],{"categories":3458},[92],{"categories":3460},[149],{"categories":3462},[92],{"categories":3464},[92],{"categories":3466},[92],{"categories":3468},[],{"categories":3470},[92],{"categories":3472},[1192],{"categories":3474},[161],{"categories":3476},[229],{"categories":3478},[92],{"categories":3480},[92],{"categories":3482},[92],{"categories":3484},[186],{"categories":3486},[149],{"categories":3488},[258],{"categories":3490},[295],{"categories":3492},[],{"categories":3494},[92],{"categories":3496},[144],{"categories":3498},[149],{"categories":3500},[139],{"categories":3502},[149],{"categories":3504},[92],{"categories":3506},[149],{"categories":3508},[149],{"categories":3510},[152],{"categories":3512},[161],{"categories":3514},[92],{"categories":3516},[92],{"categories":3518},[],{"categories":3520},[],{"categories":3522},[],{"categories":3524},[295],{"categories":3526},[92],{"categories":3528},[183],{"categories":3530},[92],{"categories":3532},[92],{"categories":3534},[92],{"categories":3536},[92],{"categories":3538},[],{"categories":3540},[92],{"categories":3542},[186],{"categories":3544},[144],{"categories":3546},[149],{"categories":3548},[92],{"categories":3550},[],{"categories":3552},[92],{"categories":3554},[149],{"categories":3556},[92],{"categories":3558},[295],{"categories":3560},[],{"categories":3562},[229],{"categories":3564},[229],{"categories":3566},[],{"categories":3568},[161],{"categories":3570},[92],{"categories":3572},[229],{"categories":3574},[92],{"categories":3576},[144],{"categories":3578},[149],{"categories":3580},[92],{"categories":3582},[],{"categories":3584},[183],{"categories":3586},[92],{"categories":3588},[92],{"categories":3590},[92],{"categories":3592},[229],{"categories":3594},[149],{"categories":3596},[183],{"categories":3598},[],{"categories":3600},[149],{"categories":3602},[144],{"categories":3604},[149],{"categories":3606},[229],{"categories":3608},[92],{"categories":3610},[92],{"categories":3612},[92],{"categories":3614},[466],{"categories":3616},[92],{"categories":3618},[],{"categories":3620},[92],{"categories":3622},[92],{"categories":3624},[295],{"categories":3626},[183],{"categories":3628},[186],{"categories":3630},[557],{"categories":3632},[186],{"categories":3634},[92],{"categories":3636},[],{"categories":3638},[],{"categories":3640},[],{"categories":3642},[149],{"categories":3644},[149],{"categories":3646},[161],{"categories":3648},[92],{"categories":3650},[443],{"categories":3652},[161],{"categories":3654},[92],{"categories":3656},[92],{"categories":3658},[92],{"categories":3660},[92],{"categories":3662},[149],{"categories":3664},[],{"categories":3666},[],{"categories":3668},[92],{"categories":3670},[],{"categories":3672},[92],{"categories":3674},[149],{"categories":3676},[229],{"categories":3678},[92],{"categories":3680},[92],{"categories":3682},[],{"categories":3684},[149],{"categories":3686},[152],{"categories":3688},[92],{"categories":3690},[229],{"categories":3692},[92],{"categories":3694},[149],{"categories":3696},[144],{"categories":3698},[92],{"categories":3700},[258],{"categories":3702},[149],{"categories":3704},[92],{"categories":3706},[92],{"categories":3708},[857],{"categories":3710},[92],{"categories":3712},[149],{"categories":3714},[92],{"categories":3716},[161],{"categories":3718},[92],{"categories":3720},[521],{"categories":3722},[229],{"categories":3724},[],{"categories":3726},[92],{"categories":3728},[183],{"categories":3730},[466],{"categories":3732},[149],{"categories":3734},[92],{"categories":3736},[],{"categories":3738},[183],{"categories":3740},[387],{"categories":3742},[149],{"categories":3744},[149],{"categories":3746},[149],{"categories":3748},[92],{"categories":3750},[92],{"categories":3752},[149],{"categories":3754},[],{"categories":3756},[144],{"categories":3758},[92],{"categories":3760},[144],{"categories":3762},[149],{"categories":3764},[],{"categories":3766},[161],{"categories":3768},[92],{"categories":3770},[92],{"categories":3772},[139],{"categories":3774},[183],{"categories":3776},[295],{"categories":3778},[172],{"categories":3780},[149],{"categories":3782},[149],{"categories":3784},[92],{"categories":3786},[149],{"categories":3788},[92],{"categories":3790},[139],{"categories":3792},[],{"categories":3794},[92],{"categories":3796},[92],{"categories":3798},[92],{"categories":3800},[149],{"categories":3802},[92],{"categories":3804},[],{"categories":3806},[],{"categories":3808},[229],{"categories":3810},[149],{"categories":3812},[92,144],{"categories":3814},[149],{"categories":3816},[92],{"categories":3818},[],{"categories":3820},[139],{"categories":3822},[186],{"categories":3824},[144],{"categories":3826},[92],{"categories":3828},[161],{"categories":3830},[92],{"categories":3832},[92],{"categories":3834},[149],{"categories":3836},[92],{"categories":3838},[92],{"categories":3840},[92],{"categories":3842},[183],{"categories":3844},[1192],{"categories":3846},[149],{"categories":3848},[92],{"categories":3850},[],{"categories":3852},[],{"categories":3854},[92],{"categories":3856},[149],{"categories":3858},[92],{"categories":3860},[92],{"categories":3862},[295],{"categories":3864},[],{"categories":3866},[92],{"categories":3868},[149],{"categories":3870},[172],{"categories":3872},[149],{"categories":3874},[466],{"categories":3876},[],{"categories":3878},[410],{"categories":3880},[149],{"categories":3882},[92],{"categories":3884},[258],{"categories":3886},[149],{"categories":3888},[92],{"categories":3890},[186],{"categories":3892},[152],{"categories":3894},[149],{"categories":3896},[92],{"categories":3898},[466],{"categories":3900},[92],{"categories":3902},[295],{"categories":3904},[],{"categories":3906},[92],{"categories":3908},[258],{"categories":3910},[229],{"categories":3912},[92],{"categories":3914},[92],{"categories":3916},[92],{"categories":3918},[],{"categories":3920},[258],{"categories":3922},[183],{"categories":3924},[92],{"categories":3926},[92],{"categories":3928},[92],{"categories":3930},[557],{"categories":3932},[139],{"categories":3934},[92],{"categories":3936},[92],{"categories":3938},[],{"categories":3940},[],{"categories":3942},[229],{"categories":3944},[92],{"categories":3946},[186],{"categories":3948},[258],{"categories":3950},[149],{"categories":3952},[92],{"categories":3954},[92],{"categories":3956},[258],{"categories":3958},[183],{"categories":3960},[],{"categories":3962},[92],{"categories":3964},[92],{"categories":3966},[],{"categories":3968},[92],{"categories":3970},[92],{"categories":3972},[582],{"categories":3974},[92],{"categories":3976},[92],{"categories":3978},[149],{"categories":3980},[161],{"categories":3982},[466],{"categories":3984},[92],{"categories":3986},[92],{"categories":3988},[92],{"categories":3990},[],{"categories":3992},[92,161],{"categories":3994},[183],{"categories":3996},[149],{"categories":3998},[161],{"categories":4000},[149],{"categories":4002},[893],{"categories":4004},[161],{"categories":4006},[149],{"categories":4008},[92],{"categories":4010},[139],{"categories":4012},[],{"categories":4014},[],{"categories":4016},[149],{"categories":4018},[92],{"categories":4020},[161],{"categories":4022},[92],{"categories":4024},[139],{"categories":4026},[161],{"categories":4028},[161],{"categories":4030},[92],{"categories":4032},[258],{"categories":4034},[92],{"categories":4036},[161],{"categories":4038},[92],{"categories":4040},[],{"categories":4042},[92],{"categories":4044},[229,92],{"categories":4046},[295],{"categories":4048},[139],{"categories":4050},[92],{"categories":4052},[],{"categories":4054},[92],{"categories":4056},[92],{"categories":4058},[144],{"categories":4060},[92],{"categories":4062},[144],{"categories":4064},[92],{"categories":4066},[92],{"categories":4068},[387],{"categories":4070},[92],{"categories":4072},[144],{"categories":4074},[161],{"categories":4076},[186],{"categories":4078},[149],{"categories":4080},[161],{"categories":4082},[92],{"categories":4084},[92],{"categories":4086},[183],{"categories":4088},[258],{"categories":4090},[229],{"categories":4092},[92],{"categories":4094},[92],{"categories":4096},[92],{"categories":4098},[92],{"categories":4100},[139],{"categories":4102},[92],{"categories":4104},[149],{"categories":4106},[149],{"categories":4108},[161],{"categories":4110},[183],{"categories":4112},[161],{"categories":4114},[161],{"categories":4116},[92],{"categories":4118},[92],{"categories":4120},[],{"categories":4122},[],{"categories":4124},[186],{"categories":4126},[92],{"categories":4128},[161],{"categories":4130},[92],{"categories":4132},[229],{"categories":4134},[466],{"categories":4136},[410],{"categories":4138},[387],{"categories":4140},[92],{"categories":4142},[92],{"categories":4144},[92],{"categories":4146},[186],{"categories":4148},[92],{"categories":4150},[92],{"categories":4152},[92],{"categories":4154},[92],{"categories":4156},[92],{"categories":4158},[92],{"categories":4160},[149],{"categories":4162},[139],{"categories":4164},[149],{"categories":4166},[92,144],{"categories":4168},[],{"categories":4170},[229],{"categories":4172},[],{"categories":4174},[152],{"categories":4176},[92],{"categories":4178},[183],{"categories":4180},[139],{"categories":4182},[92],{"categories":4184},[139],{"categories":4186},[149],{"categories":4188},[186],{"categories":4190},[149],{"categories":4192},[149],{"categories":4194},[92],{"categories":4196},[92],{"categories":4198},[144],{"categories":4200},[149],{"categories":4202},[161],{"categories":4204},[258],{"categories":4206},[92],{"categories":4208},[],{"categories":4210},[183],{"categories":4212},[92],{"categories":4214},[92],{"categories":4216},[92],{"categories":4218},[92],{"categories":4220},[92],{"categories":4222},[92],{"categories":4224},[161],{"categories":4226},[183],{"categories":4228},[161],{"categories":4230},[161],{"categories":4232},[92],{"categories":4234},[92],{"categories":4236},[92],{"categories":4238},[410],{"categories":4240},[92],{"categories":4242},[149],{"categories":4244},[183],{"categories":4246},[92],{"categories":4248},[92],{"categories":4250},[92],{"categories":4252},[149],{"categories":4254},[92],{"categories":4256},[92],{"categories":4258},[92],{"categories":4260},[2961],{"categories":4262},[4263],"Clinical AI",{"categories":4265},[229],{"categories":4267},[92],{"categories":4269},[92],{"categories":4271},[92],{"categories":4273},[295],{"categories":4275},[2360],{"categories":4277},[92],{"categories":4279},[152],{"categories":4281},[92],{"categories":4283},[149],{"categories":4285},[92],{"categories":4287},[92],{"categories":4289},[183],{"categories":4291},[92],{"categories":4293},[149],{"categories":4295},[161],{"categories":4297},[258],{"categories":4299},[92],{"categories":4301},[92],{"categories":4303},[144],{"categories":4305},[92],{"categories":4307},[92],{"categories":4309},[521],{"categories":4311},[92],{"categories":4313},[],{"categories":4315},[92],{"categories":4317},[161],{"categories":4319},[139],{"categories":4321},[92],{"categories":4323},[],{"categories":4325},[],{"categories":4327},[92],{"categories":4329},[],{"categories":4331},[144],{"categories":4333},[92],{"categories":4335},[92],{"categories":4337},[149],{"categories":4339},[183],{"categories":4341},[183],{"categories":4343},[183],{"categories":4345},[183],{"categories":4347},[],{"categories":4349},[139],{"categories":4351},[149],{"categories":4353},[183],{"categories":4355},[92],{"categories":4357},[582],{"categories":4359},[152],{"categories":4361},[92],{"categories":4363},[139],{"categories":4365},[92],{"categories":4367},[149],{"categories":4369},[92],{"categories":4371},[92],{"categories":4373},[92,149],{"categories":4375},[149],{"categories":4377},[295],{"categories":4379},[183],{"categories":4381},[149],{"categories":4383},[183],{"categories":4385},[149],{"categories":4387},[92],{"categories":4389},[],{"categories":4391},[183],{"categories":4393},[258],{"categories":4395},[139],{"categories":4397},[92],{"categories":4399},[92],{"categories":4401},[],{"categories":4403},[161],{"categories":4405},[],{"categories":4407},[139],{"categories":4409},[149],{"categories":4411},[183],{"categories":4413},[92],{"categories":4415},[183],{"categories":4417},[139],{"categories":4419},[183],{"categories":4421},[183],{"categories":4423},[],{"categories":4425},[144],{"categories":4427},[149],{"categories":4429},[183],{"categories":4431},[183],{"categories":4433},[183],{"categories":4435},[183],{"categories":4437},[183],{"categories":4439},[183],{"categories":4441},[183],{"categories":4443},[183],{"categories":4445},[183],{"categories":4447},[183],{"categories":4449},[186],{"categories":4451},[139],{"categories":4453},[92],{"categories":4455},[92],{"categories":4457},[149],{"categories":4459},[149],{"categories":4461},[],{"categories":4463},[92],{"categories":4465},[92,139],{"categories":4467},[],{"categories":4469},[149],{"categories":4471},[92],{"categories":4473},[183],{"categories":4475},[149],{"categories":4477},[893],{"categories":4479},[92],{"categories":4481},[92],{"categories":4483},[92],{"categories":4485},[92],{"categories":4487},[92],{"categories":4489},[387],{"categories":4491},[92],{"categories":4493},[92],{"categories":4495},[149],{"categories":4497},[92],{"categories":4499},[144],{"categories":4501},[152],{"categories":4503},[149],{"categories":4505},[149],{"categories":4507},[],{"categories":4509},[149],{"categories":4511},[229],{"categories":4513},[183],{"categories":4515},[92],{"categories":4517},[],{"categories":4519},[152],{"categories":4521},[],{"categories":4523},[161],{"categories":4525},[149],{"categories":4527},[229],{"categories":4529},[92],{"categories":4531},[],{"categories":4533},[92],{"categories":4535},[],{"categories":4537},[258],{"categories":4539},[92],{"categories":4541},[],{"categories":4543},[],{"categories":4545},[183],{"categories":4547},[139],{"categories":4549},[92],{"categories":4551},[92],{"categories":4553},[144],{"categories":4555},[92],{"categories":4557},[92],{"categories":4559},[92],{"categories":4561},[144],{"categories":4563},[144],{"categories":4565},[229],{"categories":4567},[],{"categories":4569},[92],{"categories":4571},[183],{"categories":4573},[],{"categories":4575},[92],{"categories":4577},[92],{"categories":4579},[229],{"categories":4581},[92],{"categories":4583},[258],{"categories":4585},[92],{"categories":4587},[295],{"categories":4589},[],{"categories":4591},[149],{"categories":4593},[258],{"categories":4595},[161],{"categories":4597},[],{"categories":4599},[92],{"categories":4601},[],{"categories":4603},[149],{"categories":4605},[229],{"categories":4607},[161],{"categories":4609},[],{"categories":4611},[2961],{"categories":4613},[144],{"categories":4615},[139],{"categories":4617},[92],{"categories":4619},[186],{"categories":4621},[149],{"categories":4623},[229],{"categories":4625},[161],{"categories":4627},[],{"categories":4629},[],{"categories":4631},[92],{"categories":4633},[139],{"categories":4635},[92],{"categories":4637},[258],{"categories":4639},[],{"categories":4641},[149],{"categories":4643},[149],{"categories":4645},[92],{"categories":4647},[149],{"categories":4649},[92],{"categories":4651},[183],{"categories":4653},[161],{"categories":4655},[92],{"categories":4657},[149],{"categories":4659},[152],{"categories":4661},[92],{"categories":4663},[92],{"categories":4665},[149],{"categories":4667},[92],{"categories":4669},[152],{"categories":4671},[258],{"categories":4673},[183],{"categories":4675},[],{"categories":4677},[258],{"categories":4679},[92],{"categories":4681},[],{"categories":4683},[161],{"categories":4685},[149],{"categories":4687},[],{"categories":4689},[92],{"categories":4691},[92],{"categories":4693},[92],{"categories":4695},[92],{"categories":4697},[92],{"categories":4699},[149],{"categories":4701},[144],{"categories":4703},[139],{"categories":4705},[92],{"categories":4707},[229],{"categories":4709},[161],{"categories":4711},[161],{"categories":4713},[92],{"categories":4715},[186],{"categories":4717},[149],{"categories":4719},[92],{"categories":4721},[92],{"categories":4723},[149],{"categories":4725},[92],{"categories":4727},[144],{"categories":4729},[229],{"categories":4731},[161],{"categories":4733},[149],{"categories":4735},[92],{"categories":4737},[152],{"categories":4739},[92],{"categories":4741},[149],{"categories":4743},[92],{"categories":4745},[92],{"categories":4747},[183],{"categories":4749},[92],{"categories":4751},[],{"categories":4753},[139],{"categories":4755},[92],{"categories":4757},[92],{"categories":4759},[92],{"categories":4761},[161],{"categories":4763},[161],{"categories":4765},[92],{"categories":4767},[161],{"categories":4769},[92],{"categories":4771},[149],{"categories":4773},[92],{"categories":4775},[92],{"categories":4777},[92],{"categories":4779},[92],{"categories":4781},[92],{"categories":4783},[],{"categories":4785},[92],{"categories":4787},[229],{"categories":4789},[144],{"categories":4791},[183],{"categories":4793},[92],{"categories":4795},[149],{"categories":4797},[92],{"categories":4799},[149],{"categories":4801},[92],{"categories":4803},[92],{"categories":4805},[229],{"categories":4807},[149],{"categories":4809},[92],{"categories":4811},[258],{"categories":4813},[92],{"categories":4815},[186],{"categories":4817},[92],{"categories":4819},[92],{"categories":4821},[183],{"categories":4823},[92],{"categories":4825},[92],{"categories":4827},[92],{"categories":4829},[92],{"categories":4831},[149],{"categories":4833},[295],{"categories":4835},[92],{"categories":4837},[161],{"categories":4839},[149],{"categories":4841},[186],{"categories":4843},[],{"categories":4845},[149],{"categories":4847},[161],{"categories":4849},[92],{"categories":4851},[92],{"categories":4853},[2206],{"categories":4855},[229],{"categories":4857},[324],{"categories":4859},[92],{"categories":4861},[92],{"categories":4863},[92],{"categories":4865},[92],{"categories":4867},[139],{"categories":4869},[92],{"categories":4871},[92],{"categories":4873},[161],{"categories":4875},[144],{"categories":4877},[161],{"categories":4879},[92],{"categories":4881},[],{"categories":4883},[149],{"categories":4885},[149],{"categories":4887},[92],{"categories":4889},[92],{"categories":4891},[186],{"categories":4893},[],{"categories":4895},[183],{"categories":4897},[],{"categories":4899},[183],{"categories":4901},[92],{"categories":4903},[92],{"categories":4905},[149],{"categories":4907},[92],{"categories":4909},[149],{"categories":4911},[149],{"categories":4913},[],{"categories":4915},[183],{"categories":4917},[92],{"categories":4919},[],{"categories":4921},[92],{"categories":4923},[92],{"categories":4925},[],{"categories":4927},[92],{"categories":4929},[229],{"categories":4931},[161],{"categories":4933},[149],{"categories":4935},[92],{"categories":4937},[92],{"categories":4939},[92],{"categories":4941},[258],{"categories":4943},[92],{"categories":4945},[92],{"categories":4947},[92],{"categories":4949},[139],{"categories":4951},[92],{"categories":4953},[92],{"categories":4955},[],{"categories":4957},[92],{"categories":4959},[92],{"categories":4961},[],{"categories":4963},[139],{"categories":4965},[92],{"categories":4967},[183],{"categories":4969},[161],{"categories":4971},[152],{"categories":4973},[466],{"categories":4975},[92],{"categories":4977},[92],{"categories":4979},[92],{"categories":4981},[161],{"categories":4983},[183],{"categories":4985},[229],{"categories":4987},[92],{"categories":4989},[92],{"categories":4991},[92],{"categories":4993},[92],{"categories":4995},[183],{"categories":4997},[229],{"categories":4999},[92],{"categories":5001},[92],{"categories":5003},[183],{"categories":5005},[229],{"categories":5007},[92],{"categories":5009},[183],{"categories":5011},[92],{"categories":5013},[149],{"categories":5015},[149],{"categories":5017},[149],{"categories":5019},[161],{"categories":5021},[183],{"categories":5023},[149],{"categories":5025},[149],{"categories":5027},[92],{"categories":5029},[161],{"categories":5031},[229],{"categories":5033},[92],{"categories":5035},[92],{"categories":5037},[92],{"categories":5039},[],{"categories":5041},[149],{"categories":5043},[],{"categories":5045},[92],{"categories":5047},[92],{"categories":5049},[],{"categories":5051},[],{"categories":5053},[149],{"categories":5055},[144],{"categories":5057},[149],{"categories":5059},[5060],"Liability & Ethics",{"categories":5062},[92],{"categories":5064},[92],{"categories":5066},[149],{"categories":5068},[139],{"categories":5070},[149],{"categories":5072},[144],{"categories":5074},[258],{"categories":5076},[149],{"categories":5078},[92],{"categories":5080},[92],{"categories":5082},[],{"categories":5084},[557],{"categories":5086},[149],{"categories":5088},[],{"categories":5090},[92],{"categories":5092},[139],{"categories":5094},[149],{"categories":5096},[],{"categories":5098},[149],{"categories":5100},[92],{"categories":5102},[92],{"categories":5104},[161],{"categories":5106},[92],{"categories":5108},[183],{"categories":5110},[92],{"categories":5112},[92],{"categories":5114},[149],{"categories":5116},[92],{"categories":5118},[92],{"categories":5120},[92],{"categories":5122},[183],{"categories":5124},[149],{"categories":5126},[161],{"categories":5128},[229],{"categories":5130},[139],{"categories":5132},[92],{"categories":5134},[92],{"categories":5136},[],{"categories":5138},[149],{"categories":5140},[149],{"categories":5142},[149],{"categories":5144},[466],{"categories":5146},[229],{"categories":5148},[149],{"categories":5150},[295],{"categories":5152},[161],{"categories":5154},[183],{"categories":5156},[92],{"categories":5158},[229],{"categories":5160},[92],{"categories":5162},[139],{"categories":5164},[],{"categories":5166},[149],{"categories":5168},[92],{"categories":5170},[92],{"categories":5172},[92],{"categories":5174},[149],{"categories":5176},[92],{"categories":5178},[229],{"categories":5180},[],{"categories":5182},[149],{"categories":5184},[152],{"categories":5186},[183],{"categories":5188},[149],{"categories":5190},[144],{"categories":5192},[],{"categories":5194},[92],{"categories":5196},[92],{"categories":5198},[152],{"categories":5200},[92],{"categories":5202},[149],{"categories":5204},[183],{"categories":5206},[139],{"categories":5208},[295],{"categories":5210},[92],{"categories":5212},[92],{"categories":5214},[92],{"categories":5216},[183],{"categories":5218},[144],{"categories":5220},[92],{"categories":5222},[229],{"categories":5224},[183],{"categories":5226},[295],{"categories":5228},[92],{"categories":5230},[149],{"categories":5232},[],{"categories":5234},[521],{"categories":5236},[],{"categories":5238},[92],{"categories":5240},[295],{"categories":5242},[92],{"categories":5244},[186],{"categories":5246},[149],{"categories":5248},[149],{"categories":5250},[5251],"Design News & Tools",{"categories":5253},[92],{"categories":5255},[183],{"categories":5257},[92],{"categories":5259},[92],{"categories":5261},[139],{"categories":5263},[92],{"categories":5265},[229],{"categories":5267},[149],{"categories":5269},[149],{"categories":5271},[229],{"categories":5273},[92],{"categories":5275},[466],{"categories":5277},[149],{"categories":5279},[92],{"categories":5281},[92],{"categories":5283},[466],{"categories":5285},[92],{"categories":5287},[258],{"categories":5289},[92],{"categories":5291},[149],{"categories":5293},[],{"categories":5295},[92],{"categories":5297},[92],{"categories":5299},[92],{"categories":5301},[183],{"categories":5303},[139],{"categories":5305},[],{"categories":5307},[92],{"categories":5309},[92],{"categories":5311},[92],{"categories":5313},[161],{"categories":5315},[582],{"categories":5317},[161],{"categories":5319},[229],{"categories":5321},[92],{"categories":5323},[92,149],{"categories":5325},[258,144],{"categories":5327},[161],{"categories":5329},[92],{"categories":5331},[92],{"categories":5333},[92],{"categories":5335},[92],{"categories":5337},[],{"categories":5339},[149],{"categories":5341},[92],{"categories":5343},[],{"categories":5345},[92],{"categories":5347},[161],{"categories":5349},[92],{"categories":5351},[161],{"categories":5353},[],{"categories":5355},[149],{"categories":5357},[92],{"categories":5359},[144],{"categories":5361},[92],{"categories":5363},[183],{"categories":5365},[92],{"categories":5367},[],{"categories":5369},[149],{"categories":5371},[92],{"categories":5373},[],{"categories":5375},[229],{"categories":5377},[92],{"categories":5379},[92],{"categories":5381},[149],{"categories":5383},[92],{"categories":5385},[92],{"categories":5387},[139],{"categories":5389},[149],{"categories":5391},[92],{"categories":5393},[],{"categories":5395},[295],{"categories":5397},[258],{"categories":5399},[144],{"categories":5401},[144],{"categories":5403},[92],{"categories":5405},[139],{"categories":5407},[139],{"categories":5409},[92],{"categories":5411},[149],{"categories":5413},[92],{"categories":5415},[92],{"categories":5417},[92],{"categories":5419},[92],{"categories":5421},[161],{"categories":5423},[92],{"categories":5425},[139],{"categories":5427},[92],{"categories":5429},[149],{"categories":5431},[92],{"categories":5433},[258],{"categories":5435},[92],{"categories":5437},[183],{"categories":5439},[92],{"categories":5441},[92],{"categories":5443},[149],{"categories":5445},[92],{"categories":5447},[149],{"categories":5449},[],{"categories":5451},[161],{"categories":5453},[],{"categories":5455},[161],{"categories":5457},[149],{"categories":5459},[139],{"categories":5461},[],{"categories":5463},[186],{"categories":5465},[295],{"categories":5467},[92],{"categories":5469},[161],{"categories":5471},[92],{"categories":5473},[],{"categories":5475},[183],{"categories":5477},[149],{"categories":5479},[161],{"categories":5481},[229],{"categories":5483},[92],{"categories":5485},[92],{"categories":5487},[149],{"categories":5489},[161],{"categories":5491},[149],{"categories":5493},[183],{"categories":5495},[92],{"categories":5497},[152],{"categories":5499},[139],{"categories":5501},[152],{"categories":5503},[183],{"categories":5505},[92],{"categories":5507},[161],{"categories":5509},[92],{"categories":5511},[229],{"categories":5513},[144],{"categories":5515},[92],{"categories":5517},[92],{"categories":5519},[92],{"categories":5521},[92],{"categories":5523},[92],{"categories":5525},[92],{"categories":5527},[149],{"categories":5529},[92],{"categories":5531},[149],{"categories":5533},[92],{"categories":5535},[92],{"categories":5537},[139],{"categories":5539},[92],{"categories":5541},[149],{"categories":5543},[149],{"categories":5545},[229],{"categories":5547},[149],{"categories":5549},[149],{"categories":5551},[139],{"categories":5553},[149],{"categories":5555},[229],{"categories":5557},[],{"categories":5559},[92],{"categories":5561},[186],{"categories":5563},[466],{"categories":5565},[92],{"categories":5567},[92],{"categories":5569},[92],{"categories":5571},[161],{"categories":5573},[92],{"categories":5575},[],{"categories":5577},[92],{"categories":5579},[149],{"categories":5581},[92],{"categories":5583},[258],{"categories":5585},[92],{"categories":5587},[183],{"categories":5589},[149],{"categories":5591},[92],{"categories":5593},[258],{"categories":5595},[149],{"categories":5597},[144],{"categories":5599},[144],{"categories":5601},[92],{"categories":5603},[92],{"categories":5605},[92],{"categories":5607},[92],{"categories":5609},[92],{"categories":5611},[139],{"categories":5613},[],{"categories":5615},[92],{"categories":5617},[92],{"categories":5619},[149],{"categories":5621},[149],{"categories":5623},[92],{"categories":5625},[92],{"categories":5627},[92],{"categories":5629},[161],{"categories":5631},[],{"categories":5633},[139],{"categories":5635},[92],{"categories":5637},[92],{"categories":5639},[149],{"categories":5641},[149],{"categories":5643},[],{"categories":5645},[161],{"categories":5647},[161],{"categories":5649},[92],{"categories":5651},[258],{"categories":5653},[144],{"categories":5655},[229],{"categories":5657},[],{"categories":5659},[92],{"categories":5661},[149],{"categories":5663},[139],{"categories":5665},[92],{"categories":5667},[92],{"categories":5669},[161],{"categories":5671},[139],{"categories":5673},[92],{"categories":5675},[92],{"categories":5677},[183],{"categories":5679},[186],{"categories":5681},[183],{"categories":5683},[149],{"categories":5685},[92],{"categories":5687},[],{"categories":5689},[183],{"categories":5691},[149],{"categories":5693},[229],{"categories":5695},[186],{"categories":5697},[92],{"categories":5699},[92],{"categories":5701},[],{"categories":5703},[149],{"categories":5705},[149],{"categories":5707},[149],{"categories":5709},[2961],{"categories":5711},[183],{"categories":5713},[92],{"categories":5715},[161],{"categories":5717},[92],{"categories":5719},[92],{"categories":5721},[92],{"categories":5723},[92],{"categories":5725},[144],{"categories":5727},[92],{"categories":5729},[139],{"categories":5731},[1722],{"categories":5733},[295],{"categories":5735},[139],{"categories":5737},[],{"categories":5739},[92],{"categories":5741},[],{"categories":5743},[183],{"categories":5745},[149],{"categories":5747},[229],{"categories":5749},[92],{"categories":5751},[92],{"categories":5753},[183],{"categories":5755},[],{"categories":5757},[149],{"categories":5759},[149],{"categories":5761},[149],{"categories":5763},[],{"categories":5765},[92],{"categories":5767},[],{"categories":5769},[183],{"categories":5771},[139],{"categories":5773},[229],{"categories":5775},[92],{"categories":5777},[149],{"categories":5779},[183],{"categories":5781},[92],{"categories":5783},[183],{"categories":5785},[],{"categories":5787},[183],{"categories":5789},[139],{"categories":5791},[466],{"categories":5793},[149],{"categories":5795},[92],{"categories":5797},[],{"categories":5799},[161],{"categories":5801},[149],{"categories":5803},[152],{"categories":5805},[149],{"categories":5807},[139],{"categories":5809},[],{"categories":5811},[],{"categories":5813},[],{"categories":5815},[229],{"categories":5817},[149],{"categories":5819},[92],{"categories":5821},[92],{"categories":5823},[],{"categories":5825},[],{"categories":5827},[],{"categories":5829},[92],{"categories":5831},[229],{"categories":5833},[92],{"categories":5835},[],{"categories":5837},[149],{"categories":5839},[92],{"categories":5841},[92],{"categories":5843},[139],{"categories":5845},[],{"categories":5847},[],{"categories":5849},[92],{"categories":5851},[229],{"categories":5853},[92],{"categories":5855},[183],{"categories":5857},[],{"categories":5859},[92],{"categories":5861},[258],{"categories":5863},[183],{"categories":5865},[258],{"categories":5867},[186],{"categories":5869},[92],{"categories":5871},[92],{"categories":5873},[],{"categories":5875},[],{"categories":5877},[149],{"categories":5879},[],{"categories":5881},[92],{"categories":5883},[466],{"categories":5885},[92],{"categories":5887},[92],{"categories":5889},[92],{"categories":5891},[92],{"categories":5893},[],{"categories":5895},[149],{"categories":5897},[92],{"categories":5899},[92],{"categories":5901},[],{"categories":5903},[149],{"categories":5905},[92],{"categories":5907},[183],{"categories":5909},[92],{"categories":5911},[258],{"categories":5913},[144],{"categories":5915},[92],{"categories":5917},[92],{"categories":5919},[149],{"categories":5921},[186],{"categories":5923},[149],{"categories":5925},[149],{"categories":5927},[],{"categories":5929},[149],{"categories":5931},[],{"categories":5933},[92],{"categories":5935},[],{"categories":5937},[183],{"categories":5939},[144],{"categories":5941},[],{"categories":5943},[92],{"categories":5945},[92],{"categories":5947},[],{"categories":5949},[229],{"categories":5951},[139],{"categories":5953},[],{"categories":5955},[144],{"categories":5957},[258],{"categories":5959},[92],{"categories":5961},[161],{"categories":5963},[139],{"categories":5965},[186],{"categories":5967},[144],{"categories":5969},[161],{"categories":5971},[149],{"categories":5973},[161],{"categories":5975},[],{"categories":5977},[92],{"categories":5979},[152],{"categories":5981},[92],{"categories":5983},[],{"categories":5985},[149],{"categories":5987},[139],{"categories":5989},[229],{"categories":5991},[92],{"categories":5993},[139],{"categories":5995},[149],{"categories":5997},[295],{"categories":5999},[92],{"categories":6001},[92],{"categories":6003},[92],{"categories":6005},[139],{"categories":6007},[186],{"categories":6009},[149],{"categories":6011},[],{"categories":6013},[92],{"categories":6015},[92],{"categories":6017},[92],{"categories":6019},[161],{"categories":6021},[149],{"categories":6023},[183],{"categories":6025},[161],{"categories":6027},[92],{"categories":6029},[152],{"categories":6031},[],{"categories":6033},[229],{"categories":6035},[161],{"categories":6037},[183],{"categories":6039},[139],{"categories":6041},[149],{"categories":6043},[92],{"categories":6045},[92],{"categories":6047},[149],{"categories":6049},[152],{"categories":6051},[92],{"categories":6053},[149],{"categories":6055},[92],{"categories":6057},[144],{"categories":6059},[149],{"categories":6061},[149,295],{"categories":6063},[92],{"categories":6065},[92],{"categories":6067},[149],{"categories":6069},[161],{"categories":6071},[92],{"categories":6073},[92],{"categories":6075},[186],{"categories":6077},[149],{"categories":6079},[258],{"categories":6081},[149],{"categories":6083},[144],{"categories":6085},[],{"categories":6087},[149],{"categories":6089},[92],{"categories":6091},[144],{"categories":6093},[],{"categories":6095},[],{"categories":6097},[161],{"categories":6099},[92],{"categories":6101},[92],{"categories":6103},[149],{"categories":6105},[186],{"categories":6107},[258],{"categories":6109},[92],{"categories":6111},[92],{"categories":6113},[149],{"categories":6115},[],{"categories":6117},[149],{"categories":6119},[183],{"categories":6121},[149],{"categories":6123},[92],{"categories":6125},[],{"categories":6127},[183],{"categories":6129},[161],{"categories":6131},[2961],{"categories":6133},[139],{"categories":6135},[161],{"categories":6137},[92],{"categories":6139},[149],{"categories":6141},[92],{"categories":6143},[92],{"categories":6145},[258],{"categories":6147},[161],{"categories":6149},[],{"categories":6151},[183],{"categories":6153},[92],{"categories":6155},[],{"categories":6157},[149],{"categories":6159},[92],{"categories":6161},[92],{"categories":6163},[92],{"categories":6165},[92],{"categories":6167},[149],{"categories":6169},[92],{"categories":6171},[92],{"categories":6173},[152],{"categories":6175},[92],{"categories":6177},[149],{"categories":6179},[92],{"categories":6181},[92],{"categories":6183},[92],{"categories":6185},[92],{"categories":6187},[92],{"categories":6189},[92],{"categories":6191},[92],{"categories":6193},[144],{"categories":6195},[],{"categories":6197},[152],{"categories":6199},[183],{"categories":6201},[149],{"categories":6203},[92],{"categories":6205},[161],{"categories":6207},[],{"categories":6209},[161],{"categories":6211},[161],{"categories":6213},[149],{"categories":6215},[161],{"categories":6217},[92],{"categories":6219},[92],{"categories":6221},[92],{"categories":6223},[149],{"categories":6225},[161],{"categories":6227},[92],{"categories":6229},[92],{"categories":6231},[92],{"categories":6233},[149],{"categories":6235},[183],{"categories":6237},[92],{"categories":6239},[92],{"categories":6241},[92],{"categories":6243},[144],{"categories":6245},[92],{"categories":6247},[149],{"categories":6249},[229],{"categories":6251},[],{"categories":6253},[92],{"categories":6255},[186],{"categories":6257},[149],{"categories":6259},[92],{"categories":6261},[92],{"categories":6263},[],{"categories":6265},[92],{"categories":6267},[92],{"categories":6269},[183],{"categories":6271},[92],{"categories":6273},[92],{"categories":6275},[149],{"categories":6277},[258],{"categories":6279},[],{"categories":6281},[],{"categories":6283},[161],{"categories":6285},[92],{"categories":6287},[183],{"categories":6289},[92],{"categories":6291},[161],{"categories":6293},[183],{"categories":6295},[92],{"categories":6297},[258],{"categories":6299},[186],{"categories":6301},[92],{"categories":6303},[92],{"categories":6305},[139],{"categories":6307},[149],{"categories":6309},[92],{"categories":6311},[92],{"categories":6313},[149],{"categories":6315},[149],{"categories":6317},[92],{"categories":6319},[144],{"categories":6321},[],{"categories":6323},[186],{"categories":6325},[92],{"categories":6327},[],{"categories":6329},[183],{"categories":6331},[92],{"categories":6333},[186],{"categories":6335},[92],{"categories":6337},[161],{"categories":6339},[161],{"categories":6341},[161],{"categories":6343},[149],{"categories":6345},[149],{"categories":6347},[92],{"categories":6349},[149],{"categories":6351},[92],{"categories":6353},[92],{"categories":6355},[229],{"categories":6357},[186],{"categories":6359},[186],{"categories":6361},[],{"categories":6363},[183],{"categories":6365},[92],{"categories":6367},[92],{"categories":6369},[161],{"categories":6371},[],{"categories":6373},[183],{"categories":6375},[183],{"categories":6377},[183],{"categories":6379},[],{"categories":6381},[149],{"categories":6383},[92],{"categories":6385},[],{"categories":6387},[139],{"categories":6389},[144],{"categories":6391},[],{"categories":6393},[92],{"categories":6395},[92],{"categories":6397},[],{"categories":6399},[161],{"categories":6401},[],{"categories":6403},[],{"categories":6405},[],{"categories":6407},[],{"categories":6409},[92],{"categories":6411},[183],{"categories":6413},[],{"categories":6415},[],{"categories":6417},[92],{"categories":6419},[92],{"categories":6421},[92],{"categories":6423},[186],{"categories":6425},[92],{"categories":6427},[186],{"categories":6429},[],{"categories":6431},[186],{"categories":6433},[186],{"categories":6435},[295],{"categories":6437},[149],{"categories":6439},[161],{"categories":6441},[],{"categories":6443},[],{"categories":6445},[186],{"categories":6447},[161],{"categories":6449},[161],{"categories":6451},[161],{"categories":6453},[],{"categories":6455},[139],{"categories":6457},[161],{"categories":6459},[161],{"categories":6461},[139],{"categories":6463},[161],{"categories":6465},[144],{"categories":6467},[161],{"categories":6469},[161],{"categories":6471},[161],{"categories":6473},[186],{"categories":6475},[183],{"categories":6477},[183],{"categories":6479},[92],{"categories":6481},[161],{"categories":6483},[186],{"categories":6485},[295],{"categories":6487},[186],{"categories":6489},[186],{"categories":6491},[186],{"categories":6493},[],{"categories":6495},[144],{"categories":6497},[],{"categories":6499},[295],{"categories":6501},[161],{"categories":6503},[161],{"categories":6505},[161],{"categories":6507},[149],{"categories":6509},[183,144],{"categories":6511},[186],{"categories":6513},[],{"categories":6515},[],{"categories":6517},[186],{"categories":6519},[],{"categories":6521},[186],{"categories":6523},[183],{"categories":6525},[149],{"categories":6527},[],{"categories":6529},[161],{"categories":6531},[92],{"categories":6533},[229],{"categories":6535},[],{"categories":6537},[92],{"categories":6539},[],{"categories":6541},[183],{"categories":6543},[139],{"categories":6545},[186],{"categories":6547},[],{"categories":6549},[161],{"categories":6551},[183],[6553,6660,6854,6929],{"id":6554,"title":6555,"ai":6556,"body":6562,"categories":6616,"created_at":93,"date_modified":93,"description":85,"extension":94,"faq":93,"featured":95,"kicker_label":93,"meta":6617,"navigation":113,"path":6646,"published_at":6647,"question":93,"scraped_at":6648,"seo":6649,"sitemap":6650,"source_id":6651,"source_name":6652,"source_type":6653,"source_url":6654,"stem":6655,"tags":6656,"thumbnail_url":93,"tldr":6657,"tweet":93,"unknown_tags":6658,"__hash__":6659},"summaries\u002Fsummaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary.md","35B Models on RTX 4090: TurboQuant KV Compression Unlocks 32K Context",{"provider":7,"model":6557,"input_tokens":6558,"output_tokens":6559,"processing_time_ms":6560,"cost_usd":6561},"x-ai\u002Fgrok-4.1-fast",6914,2052,13171,0.00190195,{"type":14,"value":6563,"toc":6610},[6564,6568,6571,6575,6578,6582,6588,6594,6600,6603,6607],[17,6565,6567],{"id":6566},"q4_k_m-quantization-delivers-90-95-quality-at-60-original-size","Q4_K_M Quantization Delivers 90-95% Quality at 60% Original Size",[22,6569,6570],{},"Q4_K_M GGUF compresses model weights to ~0.6 GB per billion parameters (7B → 4GB, 32B → 19GB, 70B → 40GB) by storing weights in 4 bits with K-quant block grouping and M-medium mixed precision for sensitive layers. This preserves 90-95% of FP16 accuracy, making it the default for local runs on HuggingFace\u002FOllama. Dense 35B models need 21-22GB VRAM for weights alone on RTX 4090 (24GB total), leaving ~2GB for KV cache—insufficient beyond short contexts. MoE 35B (e.g., Qwen2.5-35B-A3B) activates only 3B params\u002Ftoken, fitting in ~20GB with 1.2GB KV at 64K context due to fewer active heads, reducing TurboQuant's necessity.",[17,6572,6574],{"id":6573},"turboquant-stacks-on-weights-for-long-context-memory-wins","TurboQuant Stacks on Weights for Long-Context Memory Wins",[22,6576,6577],{},"TurboQuant compresses KV cache to 2-4 bits at inference (PolarQuant + QJL, e.g., bits=3) without touching weights, enabling dense models like Mistral Small 3.1 24B or Qwen2.5-32B (64 layers, 8 GQA heads, head_dim=128) to handle 32K context on 24GB VRAM. Formula: 2 × layers × heads × head_dim × seq_len × bytes\u002Felement. Without it, 16K context KV hits ~4GB (total ~24GB borderline); with turbo3, drops to ~1.2GB, freeing space for 32K (~2.4GB). Fused Triton kernels compute attention on compressed KV, speeding up >8K contexts (major at 32K+). Asymmetric K@3bits\u002FV@2bits saves more with zero quality loss empirically.",[17,6579,6581],{"id":6580},"three-paths-to-turboquant-on-24gb-gpus-today","Three Paths to TurboQuant on 24GB GPUs Today",[22,6583,6584,6587],{},[26,6585,6586],{},"PyPI turboquant-kv",": Wrap HF Transformers (load_in_4bit) with TurboQuantModel(bits=3).enable_decoder_fused_attention() for Python scripts; handles 512+ new tokens on long inputs.",[22,6589,6590,6593],{},[26,6591,6592],{},"vLLM fork (0xSero\u002Fturboquant)",": install_turboquant_vllm(bits=3, head_dim=128) before LLM(model, gpu_memory_utilization=0.92); prebuilt codebooks for d=128\u002F256 at 2\u002F3\u002F4 bits; server-friendly.",[22,6595,6596,6599],{},[26,6597,6598],{},"llama.cpp fork (turboquant_plus)",": Build with CUDA, run llama-server -m model-Q4_K_M.gguf --cache-type-k turbo3 --cache-type-v turbo2 -c 32768 -ngl 99. Turbo4 ≈ q8_0 quality, turbo3 best tradeoff, turbo2 extreme. Fits 32K on Qwen2.5-32B (19GB weights + \u003C4GB KV).",[22,6601,6602],{},"Quality holds ≥8B models; speedups context-dependent (\u003C2K: memory only). Experimental—await Google impl (Q2-Q3 2026), llama.cpp #20969, vLLM #38171 merges.",[17,6604,6606],{"id":6605},"optimal-stack-q4_k_m-gguf-turboquant_plus-turbo32","Optimal Stack: Q4_K_M GGUF + turboquant_plus turbo3\u002F2",[22,6608,6609],{},"Download Q4_K_M GGUF, use llama.cpp fork at 16-32K context. Achieves reliable 35B dense inference where defaults crash; 128K impossible (KV still GBs post-compression).",{"title":85,"searchDepth":86,"depth":86,"links":6611},[6612,6613,6614,6615],{"id":6566,"depth":86,"text":6567},{"id":6573,"depth":86,"text":6574},{"id":6580,"depth":86,"text":6581},{"id":6605,"depth":86,"text":6606},[92],{"content_references":6618,"triage":6644},[6619,6623,6626,6630,6632,6635,6638,6641],{"type":6620,"title":6621,"url":6622,"context":107},"other","GGUF","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fgguf",{"type":6620,"title":6624,"url":6625,"context":107},"AWQ","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Ftransformers\u002Fquantization\u002Fawq",{"type":6620,"title":6627,"url":6628,"context":6629},"VRAM Requirements for AI Models","https:\u002F\u002Fwillitrunai.com\u002Fblog\u002Fvram-requirements-for-ai-models","cited",{"type":99,"title":6631,"context":102},"turboquant-kv",{"type":99,"title":6633,"url":6634,"context":102},"0xSero\u002Fturboquant","https:\u002F\u002Fgithub.com\u002F0xSero\u002Fturboquant.git",{"type":99,"title":6636,"url":6637,"context":102},"turboquant_plus","https:\u002F\u002Fgithub.com\u002FTheTom\u002Fturboquant_plus.git",{"type":6620,"title":6639,"url":6640,"context":107},"llama.cpp discussion #20969","https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp\u002Fdiscussions\u002F20969",{"type":6620,"title":6642,"url":6643,"context":107},"vLLM issue #38171","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm\u002Fissues\u002F38171",{"relevance":109,"novelty":110,"quality":110,"actionability":110,"composite":111,"reasoning":6645},"Category: AI & LLMs. The article provides in-depth technical insights on running large language models efficiently, addressing the pain point of integrating AI features into products. It offers specific implementation paths for using TurboQuant, which is actionable for developers looking to optimize AI model performance.","\u002Fsummaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary","2026-04-15 12:31:01","2026-04-15 15:39:14",{"title":6555,"description":85},{"loc":6646},"352a655761b08b28","Towards AI","article","https:\u002F\u002Fpub.towardsai.net\u002Frunning-a-35b-model-locally-with-turboquant-whats-actually-possible-right-now-1ac5327430b0?source=rss----98111c9905da---4","summaries\u002F352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary",[125,126,127],"Stack Q4_K_M weight quantization with TurboQuant's 3-bit KV cache compression to run dense 35B models at 32K context on 24GB VRAM, fitting weights (20GB) + KV cache (under 4GB) with room to spare—use llama.cpp forks today.",[],"sGRm9blteDamXpWHWdqmPUk1Seq5Nct_nBmywP1bFT0",{"id":6661,"title":6662,"ai":6663,"body":6668,"categories":6833,"created_at":93,"date_modified":93,"description":85,"extension":94,"faq":93,"featured":95,"kicker_label":93,"meta":6834,"navigation":113,"path":6843,"published_at":93,"question":93,"scraped_at":6844,"seo":6845,"sitemap":6846,"source_id":6847,"source_name":6848,"source_type":6653,"source_url":6643,"stem":6849,"tags":6850,"thumbnail_url":93,"tldr":6851,"tweet":93,"unknown_tags":6852,"__hash__":6853},"summaries\u002Fsummaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary.md","TurboQuant: 4-7x KV Cache Compression in vLLM",{"provider":7,"model":6557,"input_tokens":6664,"output_tokens":6665,"processing_time_ms":6666,"cost_usd":6667},10176,1474,8441,0.0027497,{"type":14,"value":6669,"toc":6828},[6670,6674,6677,6680,6684,6687,6766,6769,6773,6776,6825],[17,6671,6673],{"id":6672},"turboquant-delivers-superior-kv-cache-compression","TurboQuant Delivers Superior KV Cache Compression",[22,6675,6676],{},"TurboQuant uses online vector quantization with QR rotation, Lloyd-Max codebooks, and bit-packing for 2-4 bit (including 2.5\u002F3.5 fractional) KV caches, achieving provably near-optimal distortion within 2.7x of information-theoretic limits. Unlike scalar methods like FP8 (e4m3\u002Fe5m2) or INT4, it preserves inner products unbiased—key for attention—while enabling 4-5x memory savings. Paper benchmarks show perfect Needle-in-a-Haystack recall at 4x compression and competitive LongBench scores at 2.5-3.5 bits\u002Fdim. It requires no preprocessing, runs online, and suits accelerators.",[22,6678,6679],{},"vLLM alternatives (FP8, compressed-tensors) optimize MSE element-wise but lack vector codebooks, inner-product focus, theoretical guarantees, or sub-4-bit flexibility.",[17,6681,6683],{"id":6682},"proven-zero-loss-performance-and-throughput-gains","Proven Zero-Loss Performance and Throughput Gains",[22,6685,6686],{},"PoC on Qwen2.5-7B (H200, 4K-16K context) yields:",[6688,6689,6690,6709],"table",{},[6691,6692,6693],"thead",{},[6694,6695,6696,6700,6703,6706],"tr",{},[6697,6698,6699],"th",{},"Config",[6697,6701,6702],{},"Exact Match",[6697,6704,6705],{},"Avg Cache GB",[6697,6707,6708],{},"vs Full",[6710,6711,6712,6727,6740,6753],"tbody",{},[6694,6713,6714,6718,6721,6724],{},[6715,6716,6717],"td",{},"Full",[6715,6719,6720],{},"6\u002F6",[6715,6722,6723],{},"0.510",[6715,6725,6726],{},"1.0x",[6694,6728,6729,6732,6734,6737],{},[6715,6730,6731],{},"TQ 2-bit",[6715,6733,6720],{},[6715,6735,6736],{},"0.068",[6715,6738,6739],{},"7.5x",[6694,6741,6742,6745,6747,6750],{},[6715,6743,6744],{},"TQ 3.5-bit",[6715,6746,6720],{},[6715,6748,6749],{},"0.112",[6715,6751,6752],{},"4.5x",[6694,6754,6755,6758,6760,6763],{},[6715,6756,6757],{},"TQ 4-bit",[6715,6759,6720],{},[6715,6761,6762],{},"0.132",[6715,6764,6765],{},"3.9x",[22,6767,6768],{},"Upstream PR #38280 (Qwen2.5-1.5B, H200) confirms 12\u002F12 exact matches across bit-widths, TTFT\u002FITL latency matching baseline (9.3ms\u002F8.4ms), and 21% throughput boost at batch=16. Phase 2 adds bit-packed uint8 storage (ceil(head_size*bits\u002F8)+2 bytes\u002Fslot) for full ratios.",[17,6770,6772],{"id":6771},"straightforward-vllm-integration-path","Straightforward vLLM Integration Path",[22,6774,6775],{},"Aligns with vLLM's framework:",[70,6777,6778,6794,6801,6808,6815,6818],{},[41,6779,6780,6781,6785,6786,6789,6790,6793],{},"Extend ",[6782,6783,6784],"code",{},"CacheDType"," in ",[6782,6787,6788],{},"cache.py","\u002F",[6782,6791,6792],{},"torch_utils.py"," for integer indices.",[41,6795,6796,6797,6800],{},"Add ",[6782,6798,6799],{},"@register_quantization_config(\"turboquant\") TurboQuantConfig"," targeting Attention layers.",[41,6802,6803,6804,6807],{},"Implement ",[6782,6805,6806],{},"TurboQuantKVCacheMethod"," (extends BaseKVCacheMethod) for codebook params, MSE\u002FIP variants, per-head support.",[41,6809,6810,6811,6814],{},"Update ",[6782,6812,6813],{},"is_quantized_kv_cache()"," detection.",[41,6816,6817],{},"CUDA\u002FTriton encode\u002Fdecode kernels (43\u002F43 tests pass).",[41,6819,6820,6821,6824],{},"Adjust ",[6782,6822,6823],{},"KVCacheSpec"," for codebook overhead\u002Fvariable ratios.",[22,6826,6827],{},"PoC covers steps 1-5; PR #38280 integrates fully with Triton attention. Related: PolarQuant, ollama\u002Follama#15051, llama.cpp#20977, vllm-omni#2214.",{"title":85,"searchDepth":86,"depth":86,"links":6829},[6830,6831,6832],{"id":6672,"depth":86,"text":6673},{"id":6682,"depth":86,"text":6683},{"id":6771,"depth":86,"text":6772},[92],{"content_references":6835,"triage":6839},[6836],{"type":104,"title":6837,"url":6838,"context":6629},"TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2504.19874",{"relevance":110,"novelty":6840,"quality":110,"actionability":110,"composite":6841,"reasoning":6842},3,3.8,"Category: AI & LLMs. The article discusses TurboQuant's vector quantization for KV cache compression, which is relevant for AI engineers looking to optimize LLM performance. It provides specific integration steps for vLLM, making it actionable for developers, though the content is quite technical and may not be accessible to all audiences.","\u002Fsummaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary","2026-04-16 03:08:39",{"title":6662,"description":85},{"loc":6843},"d32d038984e0c1db","__oneoff__","summaries\u002Fd32d038984e0c1db-turboquant-4-7x-kv-cache-compression-in-vllm-summary",[125,126,127],"TurboQuant vector quantization compresses vLLM KV caches 3.9-7.5x at 2-4 bits\u002Fdim with perfect Needle-in-a-Haystack recall, zero latency overhead, and 21% throughput gains.",[],"XlnqSgcG5nhgzzRW6Sdk3XPgtmFuSj6gJC1hWx2uIwk",{"id":6855,"title":6856,"ai":6857,"body":6862,"categories":6896,"created_at":93,"date_modified":93,"description":85,"extension":94,"faq":93,"featured":95,"kicker_label":93,"meta":6897,"navigation":113,"path":6916,"published_at":6917,"question":93,"scraped_at":6918,"seo":6919,"sitemap":6920,"source_id":6921,"source_name":6922,"source_type":6653,"source_url":6923,"stem":6924,"tags":6925,"thumbnail_url":93,"tldr":6926,"tweet":93,"unknown_tags":6927,"__hash__":6928},"summaries\u002Fsummaries\u002F4bc22ffbce5da7c8-mythos-ai-finds-1000s-of-firefox-bugs-13x-more-fix-summary.md","Mythos AI Finds 1000s of Firefox Bugs, 13x More Fixes",{"provider":7,"model":6557,"input_tokens":6858,"output_tokens":6859,"processing_time_ms":6860,"cost_usd":6861},6183,1931,22855,0.0021796,{"type":14,"value":6863,"toc":6891},[6864,6868,6871,6874,6878,6881,6884,6888],[17,6865,6867],{"id":6866},"breakthrough-in-ai-driven-vulnerability-hunting","Breakthrough in AI-Driven Vulnerability Hunting",[22,6869,6870],{},"Anthropic's Mythos model excels at detecting high-severity software bugs that evaded humans for years, uncovering thousands before public release—including a 15-year-old HTML parsing flaw and intricate sandbox escapes in Firefox. Unlike prior AI tools plagued by false positives and low-quality reports, Mythos uses agentic capabilities to self-assess outputs, write exploit patches, and verify attacks on hardened code. This multi-step reasoning—crafting malicious code, implementing it, then breaching the sandbox—demands creativity humans rarely match at scale. Result: Mythos outperforms Mozilla's $20,000-per-bug bounty program, finding more sandbox issues than all human researchers combined.",[22,6872,6873],{},"Mozilla attributes the leap to dual advances: Mythos' raw capability surge since late 2025, plus refined prompting techniques to harness it effectively. Security teams now filter noise automatically, turning AI from liability to accelerator.",[17,6875,6877],{"id":6876},"firefox-ships-13x-more-fixes-without-automating-patches","Firefox Ships 13x More Fixes Without Automating Patches",[22,6879,6880],{},"Integrating Mythos slashed vulnerability discovery time, driving Firefox to 423 fixes in April 2026—up from 31 the prior year. Mozilla detailed 12 bugs publicly, from sandbox pairs to legacy parser errors, all dormant until AI scrutiny. Internally, Mythos scans yield industry-leading signals, per engineer Brian Grinstead.",[22,6882,6883],{},"AI generates patch prototypes, but deployment demands human intervention: one engineer codes, another reviews. Patches aren't yet automatable due to reliability gaps, preserving safety in production browsers. This hybrid workflow maximizes speed without risking stability—AI for exploration, engineers for precision.",[17,6885,6887],{"id":6886},"net-advantage-tilts-toward-defenders-in-ai-arms-race","Net Advantage Tilts Toward Defenders in AI Arms Race",[22,6889,6890],{},"Mythos fixes exhaust finite bugs, potentially strengthening software long-term, as Anthropic CEO Dario Amodei argues: \"There are only so many bugs to find.\" Mozilla's Grinstead concurs it's useful for attackers but shifts edge to defense via accessible tools for good actors. One month post-preview, patches lag disclosure, but responsible practices limit harm. Bad actors trail with weaker models, buying time for remediation. Unknowns persist—full impact emerges as patches ship—but early evidence favors proactive teams scaling AI ethically.",{"title":85,"searchDepth":86,"depth":86,"links":6892},[6893,6894,6895],{"id":6866,"depth":86,"text":6867},{"id":6876,"depth":86,"text":6877},{"id":6886,"depth":86,"text":6887},[],{"content_references":6898,"triage":6913},[6899,6903,6907,6910],{"type":6620,"title":6900,"author":6901,"url":6902,"context":6629},"Mythos preview","Anthropic","https:\u002F\u002Fred.anthropic.com\u002F2026\u002Fmythos-preview\u002F",{"type":6620,"title":6904,"author":6905,"url":6906,"context":6629},"Behind the scenes: Hardening Firefox","Mozilla","https:\u002F\u002Fhacks.mozilla.org\u002F2026\u002F05\u002Fbehind-the-scenes-hardening-firefox",{"type":6620,"title":6908,"author":6905,"url":6909,"context":107},"client bug bounty","https:\u002F\u002Fwww.mozilla.org\u002Fen-US\u002Fsecurity\u002Fclient-bug-bounty\u002F",{"type":6620,"title":6911,"url":6912,"context":107},"a recent event","https:\u002F\u002Fyoutu.be\u002FL1hB6Nz16Fw?si=IUHfFuCk3O9IEvUx&t=1147",{"relevance":110,"novelty":6840,"quality":110,"actionability":6840,"composite":6914,"reasoning":6915},3.6,"Category: AI & LLMs. The article discusses the practical application of an AI model in software engineering, specifically in vulnerability detection, which addresses a pain point for developers looking to integrate AI into their workflows. It provides insights into how Mythos improves bug detection but lacks detailed actionable steps for implementation.","\u002Fsummaries\u002F4bc22ffbce5da7c8-mythos-ai-finds-1000s-of-firefox-bugs-13x-more-fix-summary","2026-05-07 16:05:48","2026-05-07 16:43:31",{"title":6856,"description":85},{"loc":6916},"4bc22ffbce5da7c8","TechCrunch AI","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F05\u002F07\u002Fhow-anthropics-mythos-has-rewritten-firefoxs-approach-to-cybersecurity\u002F","summaries\u002F4bc22ffbce5da7c8-mythos-ai-finds-1000s-of-firefox-bugs-13x-more-fix-summary",[125,126,128],"Anthropic's Mythos LLM discovered thousands of high-severity vulnerabilities in Firefox, including decade-old ones and rare sandbox escapes, enabling 423 fixes in April 2026 vs 31 prior year—by automating discovery while humans patch.",[128],"kV7I4yigcg5wJoncyJCz-VLFgND8l_tLRKI_x-WZM7w",{"id":6930,"title":6931,"ai":6932,"body":6937,"categories":7284,"created_at":93,"date_modified":93,"description":85,"extension":94,"faq":93,"featured":95,"kicker_label":93,"meta":7285,"navigation":113,"path":7286,"published_at":7287,"question":93,"scraped_at":93,"seo":7288,"sitemap":7289,"source_id":7290,"source_name":7291,"source_type":6653,"source_url":7292,"stem":7293,"tags":7294,"thumbnail_url":93,"tldr":7295,"tweet":93,"unknown_tags":7296,"__hash__":7297},"summaries\u002Fsummaries\u002Fllm-as-judge-evaluates-rag-keyword-beats-vector-summary.md","LLM-as-Judge Evaluates RAG: Keyword Beats Vector",{"provider":7,"model":6557,"input_tokens":6933,"output_tokens":6934,"processing_time_ms":6935,"cost_usd":6936},5849,1975,17506,0.0021348,{"type":14,"value":6938,"toc":7279},[6939,6943,6950,6956,6976,6981,6999,7014,7018,7029,7050,7053,7124,7127,7154,7157,7177,7180,7215,7219,7222,7268,7275],[17,6940,6942],{"id":6941},"rag-needs-automated-internal-evaluation-for-optimization","RAG Needs Automated Internal Evaluation for Optimization",[22,6944,6945,6946,6949],{},"RAG systems require quantitative evaluation to compare optimizations like retrieval strategies, avoiding manual checks that are slow and subjective—integrate into CI\u002FCD pipelines like unit tests. Focus on ",[26,6947,6948],{},"internal evaluation"," of retrieval and generation modules:",[22,6951,6952,6955],{},[26,6953,6954],{},"Retrieval metrics",":",[70,6957,6958,6964,6970],{},[41,6959,6960,6963],{},[26,6961,6962],{},"Relevance",": Retrieved chunks match query?",[41,6965,6966,6969],{},[26,6967,6968],{},"Coverage",": All relevant database chunks fetched?",[41,6971,6972,6975],{},[26,6973,6974],{},"Correctness",": High signal-to-noise ratio, relevant chunks ranked top?",[22,6977,6978,6955],{},[26,6979,6980],{},"Generation metrics",[70,6982,6983,6988,6994],{},[41,6984,6985,6987],{},[26,6986,6962],{},": Answer aligns with query, no off-topic drift?",[41,6989,6990,6993],{},[26,6991,6992],{},"Factuality",": Answer grounded in retrieved sources, no hallucinations?",[41,6995,6996,6998],{},[26,6997,6974],{},": Answer factually accurate?",[22,7000,7001,7002,7005,7006,7009,7010,7013],{},"Prefer ",[26,7003,7004],{},"LLM-as-a-judge"," over traditional NLP metrics (ROUGE, BLEU) for nuanced semantic judgment. Ground evaluators in production setups like Azure AI Search indexes (e.g., ",[6782,7007,7008],{},"rag-evalution-chris"," with 50 chunks from employee handbook PDFs, vectorized in ",[6782,7011,7012],{},"text_vector"," field).",[17,7015,7017],{"id":7016},"azure-sdk-evaluators-automate-llm-as-judge-scoring","Azure SDK Evaluators Automate LLM-as-Judge Scoring",[22,7019,7020,7021,7024,7025,7028],{},"Leverage ",[6782,7022,7023],{},"azure.ai.evaluation"," package with GPT-4 (",[6782,7026,7027],{},"gpt-4.1"," deployment) for zero-shot scoring (1.0-5.0 scale). Key evaluators:",[70,7030,7031,7041],{},[41,7032,7033,7036,7037,7040],{},[26,7034,7035],{},"GroundednessEvaluator",": Measures answer's fidelity to sources—scores drop if facts can't be verified in context, even if externally true. Input: ",[6782,7038,7039],{},"response=answer, context=sources",".",[41,7042,7043,7046,7047,7040],{},[26,7044,7045],{},"RelevanceEvaluator",": Checks query-response alignment and contextual fit. Input: ",[6782,7048,7049],{},"query=user_question, response=answer, context=sources",[22,7051,7052],{},"Setup clients for Azure AI Search and OpenAI:",[7054,7055,7058],"pre",{"className":7056,"code":7057,"language":127,"meta":85,"style":85},"language-python shiki shiki-themes github-light github-dark","import os\nfrom azure.search.documents import SearchClient\nfrom azure.search.documents.models import VectorizedQuery\nfrom openai import AzureOpenAI\n# Load env vars: AZURE_SEARCH_*, AZURE_OPENAI_*\nopenai_client = AzureOpenAI(api_key=AZURE_OPENAI_API_KEY, azure_endpoint=AZURE_OPENAI_ENDPOINT, api_version=\"2024-10-21\")\nsearch_client = SearchClient(endpoint=AZURE_SEARCH_ENDPOINT, index_name=AZURE_SEARCH_INDEX_NAME, credential=AzureKeyCredential(AZURE_SEARCH_ADMIN_KEY))\n\ndef get_embedding_vector(query: str) -> list[float]:\n    response = openai_client.embeddings.create(model=AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME, input=[query])\n    return response.data[0].embedding\n",[6782,7059,7060,7068,7073,7078,7083,7088,7094,7100,7106,7112,7118],{"__ignoreMap":85},[7061,7062,7065],"span",{"class":7063,"line":7064},"line",1,[7061,7066,7067],{},"import os\n",[7061,7069,7070],{"class":7063,"line":86},[7061,7071,7072],{},"from azure.search.documents import SearchClient\n",[7061,7074,7075],{"class":7063,"line":6840},[7061,7076,7077],{},"from azure.search.documents.models import VectorizedQuery\n",[7061,7079,7080],{"class":7063,"line":110},[7061,7081,7082],{},"from openai import AzureOpenAI\n",[7061,7084,7085],{"class":7063,"line":109},[7061,7086,7087],{},"# Load env vars: AZURE_SEARCH_*, AZURE_OPENAI_*\n",[7061,7089,7091],{"class":7063,"line":7090},6,[7061,7092,7093],{},"openai_client = AzureOpenAI(api_key=AZURE_OPENAI_API_KEY, azure_endpoint=AZURE_OPENAI_ENDPOINT, api_version=\"2024-10-21\")\n",[7061,7095,7097],{"class":7063,"line":7096},7,[7061,7098,7099],{},"search_client = SearchClient(endpoint=AZURE_SEARCH_ENDPOINT, index_name=AZURE_SEARCH_INDEX_NAME, credential=AzureKeyCredential(AZURE_SEARCH_ADMIN_KEY))\n",[7061,7101,7103],{"class":7063,"line":7102},8,[7061,7104,7105],{"emptyLinePlaceholder":113},"\n",[7061,7107,7109],{"class":7063,"line":7108},9,[7061,7110,7111],{},"def get_embedding_vector(query: str) -> list[float]:\n",[7061,7113,7115],{"class":7063,"line":7114},10,[7061,7116,7117],{},"    response = openai_client.embeddings.create(model=AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME, input=[query])\n",[7061,7119,7121],{"class":7063,"line":7120},11,[7061,7122,7123],{},"    return response.data[0].embedding\n",[22,7125,7126],{},"Retrieval (top=5):",[70,7128,7129,7138,7146],{},[41,7130,7131,7134,7135],{},[26,7132,7133],{},"Keyword",": ",[6782,7136,7137],{},"search_client.search(search_text=user_question)",[41,7139,7140,7134,7143],{},[26,7141,7142],{},"Vector",[6782,7144,7145],{},"search_client.search(None, vector_queries=[VectorizedQuery(vector=get_embedding_vector(user_question), k_nearest_neighbors=50, fields=\"text_vector\")])",[41,7147,7148,7134,7151],{},[26,7149,7150],{},"Hybrid (semantic)",[6782,7152,7153],{},"search_client.search(user_question, vector_queries=[...], query_type=\"semantic\", semantic_configuration_name=\"rag-evaluation-chris-semantic-configuration\")",[22,7155,7156],{},"Generation prompt enforces grounding:",[7054,7158,7160],{"className":7056,"code":7159,"language":127,"meta":85,"style":85},"SYSTEM_MESSAGE = \"\"\"Answer ONLY with facts from sources. Use [source] citations.\"\"\"\nresponse = openai_client.chat.completions.create(model=AZURE_OPENAI_LLM_DEPLOYMENT_NAME, messages=[{\"role\": \"system\", \"content\": SYSTEM_MESSAGE}, {\"role\": \"user\", \"content\": user_question + \"\\nSources: \" + sources}])\nanswer = response.choices[0].message.content\n",[6782,7161,7162,7167,7172],{"__ignoreMap":85},[7061,7163,7164],{"class":7063,"line":7064},[7061,7165,7166],{},"SYSTEM_MESSAGE = \"\"\"Answer ONLY with facts from sources. Use [source] citations.\"\"\"\n",[7061,7168,7169],{"class":7063,"line":86},[7061,7170,7171],{},"response = openai_client.chat.completions.create(model=AZURE_OPENAI_LLM_DEPLOYMENT_NAME, messages=[{\"role\": \"system\", \"content\": SYSTEM_MESSAGE}, {\"role\": \"user\", \"content\": user_question + \"\\nSources: \" + sources}])\n",[7061,7173,7174],{"class":7063,"line":6840},[7061,7175,7176],{},"answer = response.choices[0].message.content\n",[22,7178,7179],{},"Evaluate:",[7054,7181,7183],{"className":7056,"code":7182,"language":127,"meta":85,"style":85},"from azure.ai.evaluation import AzureOpenAIModelConfiguration, GroundednessEvaluator, RelevanceEvaluator\nmodel_config = {\"azure_endpoint\": AZURE_OPENAI_ENDPOINT, \"azure_deployment\": AZURE_OPENAI_LLM_DEPLOYMENT_NAME, \"api_key\": AZURE_OPENAI_API_KEY}\nrelevance_eval = RelevanceEvaluator(model_config)\ngroundedness_eval = GroundednessEvaluator(model_config)\nrelevance_score = relevance_eval(query=user_question, response=answer, context=sources)\ngroundedness_score = groundedness_eval(response=answer, context=sources)\n",[6782,7184,7185,7190,7195,7200,7205,7210],{"__ignoreMap":85},[7061,7186,7187],{"class":7063,"line":7064},[7061,7188,7189],{},"from azure.ai.evaluation import AzureOpenAIModelConfiguration, GroundednessEvaluator, RelevanceEvaluator\n",[7061,7191,7192],{"class":7063,"line":86},[7061,7193,7194],{},"model_config = {\"azure_endpoint\": AZURE_OPENAI_ENDPOINT, \"azure_deployment\": AZURE_OPENAI_LLM_DEPLOYMENT_NAME, \"api_key\": AZURE_OPENAI_API_KEY}\n",[7061,7196,7197],{"class":7063,"line":6840},[7061,7198,7199],{},"relevance_eval = RelevanceEvaluator(model_config)\n",[7061,7201,7202],{"class":7063,"line":110},[7061,7203,7204],{},"groundedness_eval = GroundednessEvaluator(model_config)\n",[7061,7206,7207],{"class":7063,"line":109},[7061,7208,7209],{},"relevance_score = relevance_eval(query=user_question, response=answer, context=sources)\n",[7061,7211,7212],{"class":7063,"line":7090},[7061,7213,7214],{},"groundedness_score = groundedness_eval(response=answer, context=sources)\n",[17,7216,7218],{"id":7217},"keyword-search-wins-for-simple-queries-enables-agentic-rag","Keyword Search Wins for Simple Queries, Enables Agentic RAG",[22,7220,7221],{},"On query \"What does a product manager do?\" (50-chunk index):",[6688,7223,7224,7236],{},[6691,7225,7226],{},[6694,7227,7228,7231,7234],{},[6697,7229,7230],{},"Method",[6697,7232,7233],{},"Groundedness",[6697,7235,6962],{},[6710,7237,7238,7248,7258],{},[6694,7239,7240,7242,7245],{},[6715,7241,7133],{},[6715,7243,7244],{},"4.5",[6715,7246,7247],{},"5.0",[6694,7249,7250,7253,7256],{},[6715,7251,7252],{},"Hybrid",[6715,7254,7255],{},"4.0",[6715,7257,7244],{},[6694,7259,7260,7262,7265],{},[6715,7261,7142],{},[6715,7263,7264],{},"3.0",[6715,7266,7267],{},"3.5",[22,7269,7270,7271,7274],{},"Keyword search topped scores unexpectedly for this task, proving automated eval reveals trade-offs (e.g., vector struggles with exact phrasing). This closes the loop for ",[26,7272,7273],{},"Agentic RAG",": reliable metrics select best retrieval for self-improving agents.",[7276,7277,7278],"style",{},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":85,"searchDepth":86,"depth":86,"links":7280},[7281,7282,7283],{"id":6941,"depth":86,"text":6942},{"id":7016,"depth":86,"text":7017},{"id":7217,"depth":86,"text":7218},[],{},"\u002Fsummaries\u002Fllm-as-judge-evaluates-rag-keyword-beats-vector-summary","2026-04-08 21:21:17",{"title":6931,"description":85},{"loc":7286},"20b8d035b68db639","Level Up Coding","https:\u002F\u002Funknown","summaries\u002Fllm-as-judge-evaluates-rag-keyword-beats-vector-summary",[125,127,126],"Use Azure SDK's GroundednessEvaluator (1-5 scale: answer fidelity to sources) and RelevanceEvaluator (query-response alignment) to automate RAG scoring; keyword search outperformed vector\u002Fhybrid on 'product manager duties' query.",[],"WbpHbWCJqCpSbai5hGyHaCpcDDTRGieYViPox5fj2mc"]