[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary":3,"summaries-facets-categories":131,"summary-related-352a655761b08b28-35b-models-on-rtx-4090-turboquant-kv-compression-u-summary":7035},{"id":4,"title":5,"ai":6,"body":13,"categories":73,"created_at":75,"date_modified":75,"description":66,"extension":76,"faq":75,"featured":77,"kicker_label":75,"meta":78,"navigation":113,"path":114,"published_at":115,"question":75,"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":75,"tldr":128,"tweet":75,"unknown_tags":129,"__hash__":130},"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":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","x-ai\u002Fgrok-4.1-fast",6914,2052,13171,0.00190195,{"type":14,"value":15,"toc":65},"minimark",[16,21,25,29,32,36,43,49,55,58,62],[17,18,20],"h2",{"id":19},"q4_k_m-quantization-delivers-90-95-quality-at-60-original-size","Q4_K_M Quantization Delivers 90-95% Quality at 60% Original Size",[22,23,24],"p",{},"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.",[17,26,28],{"id":27},"turboquant-stacks-on-weights-for-long-context-memory-wins","TurboQuant Stacks on Weights for Long-Context Memory Wins",[22,30,31],{},"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.",[17,33,35],{"id":34},"three-paths-to-turboquant-on-24gb-gpus-today","Three Paths to TurboQuant on 24GB GPUs Today",[22,37,38,42],{},[39,40,41],"strong",{},"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.",[22,44,45,48],{},[39,46,47],{},"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.",[22,50,51,54],{},[39,52,53],{},"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).",[22,56,57],{},"Quality holds ≥8B models; speedups context-dependent (\u003C2K: memory only). Experimental—await Google impl (Q2-Q3 2026), llama.cpp #20969, vLLM #38171 merges.",[17,59,61],{"id":60},"optimal-stack-q4_k_m-gguf-turboquant_plus-turbo32","Optimal Stack: Q4_K_M GGUF + turboquant_plus turbo3\u002F2",[22,63,64],{},"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":66,"searchDepth":67,"depth":67,"links":68},"",2,[69,70,71,72],{"id":19,"depth":67,"text":20},{"id":27,"depth":67,"text":28},{"id":34,"depth":67,"text":35},{"id":60,"depth":67,"text":61},[74],"AI & LLMs",null,"md",false,{"content_references":79,"triage":108},[80,85,88,92,96,99,102,105],{"type":81,"title":82,"url":83,"context":84},"other","GGUF","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fgguf","mentioned",{"type":81,"title":86,"url":87,"context":84},"AWQ","https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Ftransformers\u002Fquantization\u002Fawq",{"type":81,"title":89,"url":90,"context":91},"VRAM Requirements for AI Models","https:\u002F\u002Fwillitrunai.com\u002Fblog\u002Fvram-requirements-for-ai-models","cited",{"type":93,"title":94,"context":95},"tool","turboquant-kv","recommended",{"type":93,"title":97,"url":98,"context":95},"0xSero\u002Fturboquant","https:\u002F\u002Fgithub.com\u002F0xSero\u002Fturboquant.git",{"type":93,"title":100,"url":101,"context":95},"turboquant_plus","https:\u002F\u002Fgithub.com\u002FTheTom\u002Fturboquant_plus.git",{"type":81,"title":103,"url":104,"context":84},"llama.cpp discussion #20969","https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp\u002Fdiscussions\u002F20969",{"type":81,"title":106,"url":107,"context":84},"vLLM issue #38171","https:\u002F\u002Fgithub.com\u002Fvllm-project\u002Fvllm\u002Fissues\u002F38171",{"relevance":109,"novelty":110,"quality":110,"actionability":110,"composite":111,"reasoning":112},5,4,4.35,"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.",true,"\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":5,"description":66},{"loc":114},"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],"llm","ai-tools","python","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",[132,134,137,139,142,144,147,150,152,154,156,158,161,163,165,167,169,172,174,176,178,180,183,186,188,190,192,194,196,198,200,202,204,206,208,210,212,214,216,218,220,222,224,226,228,230,232,235,237,239,241,243,245,247,249,251,253,255,257,259,261,264,266,268,270,272,274,276,278,280,282,284,286,288,290,292,294,296,298,300,302,305,307,309,311,313,315,317,319,321,323,325,327,329,331,334,336,338,340,342,344,346,348,350,352,354,356,358,360,362,364,366,368,370,372,374,376,378,380,382,384,386,388,390,392,394,396,399,401,403,405,407,409,411,413,415,417,419,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,455,457,459,461,463,465,467,469,471,473,475,478,480,482,484,486,488,490,492,494,496,498,500,502,504,506,508,510,512,514,516,518,520,522,524,526,528,530,532,534,537,539,541,544,546,548,550,552,554,556,558,560,562,564,566,568,570,572,574,576,578,580,583,585,587,589,591,593,595,597,599,601,603,605,608,610,612,614,616,618,620,622,624,626,628,630,632,634,636,638,640,642,644,646,648,650,652,654,656,658,660,662,664,666,668,670,672,674,676,678,680,682,684,686,688,690,692,694,696,698,700,702,704,706,708,710,712,714,716,718,720,722,724,726,728,730,732,734,736,738,740,742,744,746,748,750,752,754,756,758,760,762,764,766,768,770,772,774,776,778,780,782,784,786,788,790,792,794,796,798,800,802,804,806,808,810,812,814,816,818,820,822,824,826,828,830,832,834,836,838,840,842,844,846,848,850,852,854,856,858,860,862,864,866,868,870,872,874,876,878,880,882,884,886,888,890,892,895,897,899,901,903,906,908,910,912,914,916,918,920,922,924,926,928,930,933,935,937,939,941,943,945,947,949,951,953,955,957,959,961,963,965,967,969,971,973,975,977,979,981,983,985,987,989,991,993,995,997,999,1001,1003,1005,1007,1009,1011,1013,1015,1017,1019,1021,1023,1025,1027,1029,1031,1033,1035,1037,1039,1041,1043,1045,1047,1049,1051,1053,1055,1057,1059,1061,1063,1065,1067,1069,1071,1073,1075,1077,1079,1081,1083,1085,1087,1089,1091,1093,1095,1097,1099,1101,1103,1105,1107,1109,1111,1113,1115,1117,1119,1121,1123,1125,1127,1129,1131,1133,1135,1137,1139,1141,1143,1145,1147,1149,1151,1153,1155,1157,1159,1161,1163,1165,1167,1169,1171,1173,1175,1177,1179,1181,1183,1185,1187,1189,1191,1193,1195,1197,1199,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1258,1260,1262,1264,1266,1268,1270,1272,1274,1276,1278,1280,1282,1284,1286,1288,1290,1292,1294,1296,1298,1300,1302,1304,1306,1308,1310,1312,1314,1316,1318,1320,1322,1324,1326,1328,1330,1332,1334,1336,1338,1340,1342,1344,1346,1348,1350,1352,1354,1356,1358,1360,1362,1364,1366,1368,1370,1372,1374,1376,1378,1380,1382,1384,1386,1388,1390,1392,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1459,1461,1463,1465,1467,1469,1471,1473,1475,1477,1479,1481,1483,1485,1487,1489,1491,1493,1495,1497,1499,1501,1503,1505,1507,1509,1511,1513,1515,1517,1519,1521,1523,1525,1527,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1598,1600,1602,1604,1606,1608,1610,1612,1614,1616,1618,1620,1622,1624,1626,1628,1630,1632,1634,1636,1638,1640,1642,1644,1646,1648,1650,1652,1654,1656,1658,1660,1662,1664,1666,1668,1670,1672,1674,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1736,1738,1740,1742,1744,1746,1748,1750,1752,1754,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1820,1822,1824,1826,1828,1830,1832,1834,1836,1838,1840,1842,1844,1846,1848,1850,1852,1854,1856,1858,1860,1862,1864,1866,1868,1870,1872,1874,1876,1878,1880,1882,1884,1886,1888,1890,1892,1894,1896,1898,1900,1902,1904,1906,1908,1910,1912,1914,1916,1918,1920,1922,1924,1926,1928,1930,1932,1934,1936,1938,1940,1942,1944,1946,1948,1950,1952,1954,1956,1958,1960,1962,1964,1966,1968,1970,1972,1974,1976,1978,1980,1982,1984,1986,1988,1990,1992,1994,1996,1998,2000,2002,2004,2006,2008,2010,2012,2014,2016,2018,2020,2022,2024,2026,2028,2030,2032,2034,2036,2038,2040,2042,2044,2046,2048,2050,2052,2054,2056,2058,2060,2062,2064,2066,2068,2070,2072,2074,2076,2078,2080,2082,2084,2086,2088,2090,2092,2094,2096,2098,2100,2102,2104,2106,2108,2110,2112,2114,2116,2118,2120,2122,2124,2126,2128,2130,2132,2134,2136,2138,2140,2142,2144,2146,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2230,2232,2234,2236,2238,2240,2242,2244,2246,2248,2250,2252,2254,2256,2258,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,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Phase 2 adds bit-packed uint8 storage (ceil(head_size*bits\u002F8)+2 bytes\u002Fslot) for full ratios.",[17,7146,7148],{"id":7147},"straightforward-vllm-integration-path","Straightforward vLLM Integration Path",[22,7150,7151],{},"Aligns with vLLM's framework:",[7153,7154,7155,7172,7179,7186,7193,7196],"ul",{},[7156,7157,7158,7159,7163,7164,7167,7168,7171],"li",{},"Extend ",[7160,7161,7162],"code",{},"CacheDType"," in ",[7160,7165,7166],{},"cache.py","\u002F",[7160,7169,7170],{},"torch_utils.py"," for integer indices.",[7156,7173,7174,7175,7178],{},"Add ",[7160,7176,7177],{},"@register_quantization_config(\"turboquant\") TurboQuantConfig"," targeting Attention layers.",[7156,7180,7181,7182,7185],{},"Implement ",[7160,7183,7184],{},"TurboQuantKVCacheMethod"," (extends BaseKVCacheMethod) for codebook params, MSE\u002FIP variants, per-head support.",[7156,7187,7188,7189,7192],{},"Update ",[7160,7190,7191],{},"is_quantized_kv_cache()"," detection.",[7156,7194,7195],{},"CUDA\u002FTriton encode\u002Fdecode kernels (43\u002F43 tests pass).",[7156,7197,7198,7199,7202],{},"Adjust ",[7160,7200,7201],{},"KVCacheSpec"," for codebook overhead\u002Fvariable ratios.",[22,7204,7205],{},"PoC covers steps 1-5; PR #38280 integrates fully with Triton attention. Related: PolarQuant, ollama\u002Follama#15051, llama.cpp#20977, vllm-omni#2214.",{"title":66,"searchDepth":67,"depth":67,"links":7207},[7208,7209,7210],{"id":7048,"depth":67,"text":7049},{"id":7058,"depth":67,"text":7059},{"id":7147,"depth":67,"text":7148},[74],{"content_references":7213,"triage":7218},[7214],{"type":7215,"title":7216,"url":7217,"context":91},"paper","TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2504.19874",{"relevance":110,"novelty":7219,"quality":110,"actionability":110,"composite":7220,"reasoning":7221},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":7038,"description":66},{"loc":7222},"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":7234,"title":7235,"ai":7236,"body":7241,"categories":7588,"created_at":75,"date_modified":75,"description":66,"extension":76,"faq":75,"featured":77,"kicker_label":75,"meta":7589,"navigation":113,"path":7590,"published_at":7591,"question":75,"scraped_at":75,"seo":7592,"sitemap":7593,"source_id":7594,"source_name":7595,"source_type":121,"source_url":7596,"stem":7597,"tags":7598,"thumbnail_url":75,"tldr":7599,"tweet":75,"unknown_tags":7600,"__hash__":7601},"summaries\u002Fsummaries\u002Fllm-as-judge-evaluates-rag-keyword-beats-vector-summary.md","LLM-as-Judge Evaluates RAG: Keyword Beats Vector",{"provider":7,"model":8,"input_tokens":7237,"output_tokens":7238,"processing_time_ms":7239,"cost_usd":7240},5849,1975,17506,0.0021348,{"type":14,"value":7242,"toc":7583},[7243,7247,7254,7260,7280,7285,7303,7318,7322,7333,7354,7357,7428,7431,7458,7461,7481,7484,7519,7523,7526,7572,7579],[17,7244,7246],{"id":7245},"rag-needs-automated-internal-evaluation-for-optimization","RAG Needs Automated Internal Evaluation for Optimization",[22,7248,7249,7250,7253],{},"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 ",[39,7251,7252],{},"internal evaluation"," of retrieval and generation modules:",[22,7255,7256,7259],{},[39,7257,7258],{},"Retrieval metrics",":",[7153,7261,7262,7268,7274],{},[7156,7263,7264,7267],{},[39,7265,7266],{},"Relevance",": Retrieved chunks match query?",[7156,7269,7270,7273],{},[39,7271,7272],{},"Coverage",": All relevant database chunks fetched?",[7156,7275,7276,7279],{},[39,7277,7278],{},"Correctness",": High signal-to-noise ratio, relevant chunks ranked top?",[22,7281,7282,7259],{},[39,7283,7284],{},"Generation metrics",[7153,7286,7287,7292,7298],{},[7156,7288,7289,7291],{},[39,7290,7266],{},": Answer aligns with query, no off-topic drift?",[7156,7293,7294,7297],{},[39,7295,7296],{},"Factuality",": Answer grounded in retrieved sources, no hallucinations?",[7156,7299,7300,7302],{},[39,7301,7278],{},": Answer factually accurate?",[22,7304,7305,7306,7309,7310,7313,7314,7317],{},"Prefer ",[39,7307,7308],{},"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., ",[7160,7311,7312],{},"rag-evalution-chris"," with 50 chunks from employee handbook PDFs, vectorized in ",[7160,7315,7316],{},"text_vector"," field).",[17,7319,7321],{"id":7320},"azure-sdk-evaluators-automate-llm-as-judge-scoring","Azure SDK Evaluators Automate LLM-as-Judge Scoring",[22,7323,7324,7325,7328,7329,7332],{},"Leverage ",[7160,7326,7327],{},"azure.ai.evaluation"," package with GPT-4 (",[7160,7330,7331],{},"gpt-4.1"," deployment) for zero-shot scoring (1.0-5.0 scale). Key evaluators:",[7153,7334,7335,7345],{},[7156,7336,7337,7340,7341,7344],{},[39,7338,7339],{},"GroundednessEvaluator",": Measures answer's fidelity to sources—scores drop if facts can't be verified in context, even if externally true. Input: ",[7160,7342,7343],{},"response=answer, context=sources",".",[7156,7346,7347,7350,7351,7344],{},[39,7348,7349],{},"RelevanceEvaluator",": Checks query-response alignment and contextual fit. Input: ",[7160,7352,7353],{},"query=user_question, response=answer, context=sources",[22,7355,7356],{},"Setup clients for Azure AI Search and OpenAI:",[7358,7359,7362],"pre",{"className":7360,"code":7361,"language":127,"meta":66,"style":66},"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",[7160,7363,7364,7372,7377,7382,7387,7392,7398,7404,7410,7416,7422],{"__ignoreMap":66},[7365,7366,7369],"span",{"class":7367,"line":7368},"line",1,[7365,7370,7371],{},"import os\n",[7365,7373,7374],{"class":7367,"line":67},[7365,7375,7376],{},"from azure.search.documents import SearchClient\n",[7365,7378,7379],{"class":7367,"line":7219},[7365,7380,7381],{},"from azure.search.documents.models import VectorizedQuery\n",[7365,7383,7384],{"class":7367,"line":110},[7365,7385,7386],{},"from openai import AzureOpenAI\n",[7365,7388,7389],{"class":7367,"line":109},[7365,7390,7391],{},"# Load env vars: AZURE_SEARCH_*, AZURE_OPENAI_*\n",[7365,7393,7395],{"class":7367,"line":7394},6,[7365,7396,7397],{},"openai_client = AzureOpenAI(api_key=AZURE_OPENAI_API_KEY, azure_endpoint=AZURE_OPENAI_ENDPOINT, api_version=\"2024-10-21\")\n",[7365,7399,7401],{"class":7367,"line":7400},7,[7365,7402,7403],{},"search_client = SearchClient(endpoint=AZURE_SEARCH_ENDPOINT, index_name=AZURE_SEARCH_INDEX_NAME, credential=AzureKeyCredential(AZURE_SEARCH_ADMIN_KEY))\n",[7365,7405,7407],{"class":7367,"line":7406},8,[7365,7408,7409],{"emptyLinePlaceholder":113},"\n",[7365,7411,7413],{"class":7367,"line":7412},9,[7365,7414,7415],{},"def get_embedding_vector(query: str) -> list[float]:\n",[7365,7417,7419],{"class":7367,"line":7418},10,[7365,7420,7421],{},"    response = openai_client.embeddings.create(model=AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME, input=[query])\n",[7365,7423,7425],{"class":7367,"line":7424},11,[7365,7426,7427],{},"    return response.data[0].embedding\n",[22,7429,7430],{},"Retrieval (top=5):",[7153,7432,7433,7442,7450],{},[7156,7434,7435,7438,7439],{},[39,7436,7437],{},"Keyword",": ",[7160,7440,7441],{},"search_client.search(search_text=user_question)",[7156,7443,7444,7438,7447],{},[39,7445,7446],{},"Vector",[7160,7448,7449],{},"search_client.search(None, vector_queries=[VectorizedQuery(vector=get_embedding_vector(user_question), k_nearest_neighbors=50, fields=\"text_vector\")])",[7156,7451,7452,7438,7455],{},[39,7453,7454],{},"Hybrid (semantic)",[7160,7456,7457],{},"search_client.search(user_question, vector_queries=[...], query_type=\"semantic\", semantic_configuration_name=\"rag-evaluation-chris-semantic-configuration\")",[22,7459,7460],{},"Generation prompt enforces grounding:",[7358,7462,7464],{"className":7360,"code":7463,"language":127,"meta":66,"style":66},"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",[7160,7465,7466,7471,7476],{"__ignoreMap":66},[7365,7467,7468],{"class":7367,"line":7368},[7365,7469,7470],{},"SYSTEM_MESSAGE = \"\"\"Answer ONLY with facts from sources. Use [source] citations.\"\"\"\n",[7365,7472,7473],{"class":7367,"line":67},[7365,7474,7475],{},"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",[7365,7477,7478],{"class":7367,"line":7219},[7365,7479,7480],{},"answer = response.choices[0].message.content\n",[22,7482,7483],{},"Evaluate:",[7358,7485,7487],{"className":7360,"code":7486,"language":127,"meta":66,"style":66},"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",[7160,7488,7489,7494,7499,7504,7509,7514],{"__ignoreMap":66},[7365,7490,7491],{"class":7367,"line":7368},[7365,7492,7493],{},"from azure.ai.evaluation import AzureOpenAIModelConfiguration, GroundednessEvaluator, RelevanceEvaluator\n",[7365,7495,7496],{"class":7367,"line":67},[7365,7497,7498],{},"model_config = {\"azure_endpoint\": AZURE_OPENAI_ENDPOINT, \"azure_deployment\": AZURE_OPENAI_LLM_DEPLOYMENT_NAME, \"api_key\": AZURE_OPENAI_API_KEY}\n",[7365,7500,7501],{"class":7367,"line":7219},[7365,7502,7503],{},"relevance_eval = RelevanceEvaluator(model_config)\n",[7365,7505,7506],{"class":7367,"line":110},[7365,7507,7508],{},"groundedness_eval = GroundednessEvaluator(model_config)\n",[7365,7510,7511],{"class":7367,"line":109},[7365,7512,7513],{},"relevance_score = relevance_eval(query=user_question, response=answer, context=sources)\n",[7365,7515,7516],{"class":7367,"line":7394},[7365,7517,7518],{},"groundedness_score = groundedness_eval(response=answer, context=sources)\n",[17,7520,7522],{"id":7521},"keyword-search-wins-for-simple-queries-enables-agentic-rag","Keyword Search Wins for Simple Queries, Enables Agentic RAG",[22,7524,7525],{},"On query \"What does a product manager do?\" (50-chunk index):",[7064,7527,7528,7540],{},[7067,7529,7530],{},[7070,7531,7532,7535,7538],{},[7073,7533,7534],{},"Method",[7073,7536,7537],{},"Groundedness",[7073,7539,7266],{},[7086,7541,7542,7552,7562],{},[7070,7543,7544,7546,7549],{},[7091,7545,7437],{},[7091,7547,7548],{},"4.5",[7091,7550,7551],{},"5.0",[7070,7553,7554,7557,7560],{},[7091,7555,7556],{},"Hybrid",[7091,7558,7559],{},"4.0",[7091,7561,7548],{},[7070,7563,7564,7566,7569],{},[7091,7565,7446],{},[7091,7567,7568],{},"3.0",[7091,7570,7571],{},"3.5",[22,7573,7574,7575,7578],{},"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 ",[39,7576,7577],{},"Agentic RAG",": reliable metrics select best retrieval for self-improving agents.",[7580,7581,7582],"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":66,"searchDepth":67,"depth":67,"links":7584},[7585,7586,7587],{"id":7245,"depth":67,"text":7246},{"id":7320,"depth":67,"text":7321},{"id":7521,"depth":67,"text":7522},[],{},"\u002Fsummaries\u002Fllm-as-judge-evaluates-rag-keyword-beats-vector-summary","2026-04-08 21:21:17",{"title":7235,"description":66},{"loc":7590},"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",{"id":7603,"title":7604,"ai":7605,"body":7610,"categories":7691,"created_at":75,"date_modified":75,"description":66,"extension":76,"faq":75,"featured":77,"kicker_label":75,"meta":7692,"navigation":113,"path":7716,"published_at":75,"question":75,"scraped_at":7717,"seo":7718,"sitemap":7719,"source_id":7720,"source_name":7227,"source_type":121,"source_url":7721,"stem":7722,"tags":7723,"thumbnail_url":75,"tldr":7724,"tweet":75,"unknown_tags":7725,"__hash__":7726},"summaries\u002Fsummaries\u002F8fee41411642a9b7-harmony-render-gpt-oss-response-format-in-rust-pyt-summary.md","Harmony: Render gpt-oss Response Format in Rust\u002FPython",{"provider":7,"model":8,"input_tokens":7606,"output_tokens":7607,"processing_time_ms":7608,"cost_usd":7609},5558,1823,8018,0.00151625,{"type":14,"value":7611,"toc":7686},[7612,7616,7619,7622,7630,7633,7637,7648,7651,7655],[17,7613,7615],{"id":7614},"harmony-format-enables-structured-gpt-oss-outputs","Harmony Format Enables Structured gpt-oss Outputs",[22,7617,7618],{},"gpt-oss models demand the harmony response format for correct operation, as they were trained specifically on it. This format structures conversations, reasoning traces, and function calls using special tokens like \u003C|start|>role\u003C|message|> and \u003C|end|>. It supports multiple channels (e.g., analysis, commentary, final) for separating chain-of-thought, tool preambles, and responses, plus tool namespaces and structured outputs with instruction hierarchies. Without harmony, gpt-oss fails; providers like HuggingFace, Ollama, or vLLM handle it automatically, but custom inference requires manual prompting.",[22,7620,7621],{},"Example system prompt specifies channels and tools:",[7358,7623,7628],{"className":7624,"code":7626,"language":7627},[7625],"language-text","\u003C|start|>system\u003C|message|>You are ChatGPT... Reasoning: high # Valid channels: analysis, commentary, final... Calls to 'functions' must go to commentary.\u003C|end|>\n\u003C|start|>developer\u003C|message|># Instructions Always respond in riddles # Tools ## functions namespace functions { type get_location = () => any; type get_current_weather = (_: {location: string...}) => any; }\u003C|end|>\n\u003C|start|>user\u003C|message|>What is the weather like in SF?\u003C|end|>\n\u003C|start|>assistant\n","text",[7160,7629,7626],{"__ignoreMap":66},[22,7631,7632],{},"This mimics OpenAI's Responses API, easing transition for familiar users. See full guide at cookbook.openai.com\u002Farticles\u002Fopenai-harmony.",[17,7634,7636],{"id":7635},"python-and-rust-libraries-for-encodingparsing","Python and Rust Libraries for Encoding\u002FParsing",[22,7638,7639,7640,7643,7644,7647],{},"Install Python via ",[7160,7641,7642],{},"pip install openai-harmony"," for high-level dataclasses mirroring chat structures (Role, Message). Rust core handles rendering\u002Fparsing via ",[7160,7645,7646],{},"cargo add harmony",", with full docs at docs\u002Fpython.md and docs\u002Frust.md.",[22,7649,7650],{},"Architecture: Rust crate (src\u002F) with chat.rs for data structures, encoding.rs for logic, tiktoken tokenizer, and registry.rs for encodings. Python wrapper (python\u002Fopenai_harmony\u002F) uses pyo3 FFI bindings, producing openai_harmony.*.so. Repo includes tests\u002F, test-data\u002F, demo\u002Fharmony-demo, and AGENTS.md.",[17,7652,7654],{"id":7653},"local-development-and-testing","Local Development and Testing",[22,7656,7657,7658,7661,7662,7665,7666,7669,7670,7673,7674,7677,7678,7681,7682,7685],{},"Use ",[7160,7659,7660],{},"maturin develop"," to build Rust extension into virtualenv, then ",[7160,7663,7664],{},"pip install -e ."," for Python wrapper. Run Rust tests with ",[7160,7667,7668],{},"cargo test",", Python with ",[7160,7671,7672],{},"pytest tests",", or both via ",[7160,7675,7676],{},".\u002Frun_checks.sh",". Optional: ",[7160,7679,7680],{},"cargo fmt",", ",[7160,7683,7684],{},"ruff check .",". Ensures Rust\u002FPython parity for performance-critical rendering.",{"title":66,"searchDepth":67,"depth":67,"links":7687},[7688,7689,7690],{"id":7614,"depth":67,"text":7615},{"id":7635,"depth":67,"text":7636},{"id":7653,"depth":67,"text":7654},[],{"content_references":7693,"triage":7713},[7694,7697,7699,7702,7705,7708,7711],{"type":93,"title":7695,"url":7696,"context":84},"gpt-oss","https:\u002F\u002Fopenai.com\u002Fopen-models",{"type":93,"title":7695,"url":7698,"context":95},"https:\u002F\u002Fgpt-oss.com",{"type":81,"title":7700,"url":7701,"context":84},"gpt-oss Model Card","https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-oss-model-card\u002F",{"type":81,"title":7703,"url":7704,"context":91},"OpenAI Harmony Guide","https:\u002F\u002Fcookbook.openai.com\u002Farticles\u002Fopenai-harmony",{"type":81,"title":7706,"url":7707,"context":84},"gpt-oss Cookbook","https:\u002F\u002Fcookbook.openai.com\u002Ftopic\u002Fgpt-oss",{"type":93,"title":7709,"url":7710,"context":84},"pyo3","https:\u002F\u002Fpyo3.rs\u002F",{"type":93,"title":7712,"context":84},"maturin",{"relevance":109,"novelty":7219,"quality":110,"actionability":110,"composite":7714,"reasoning":7715},4.15,"Category: AI & LLMs. The article provides a detailed explanation of the harmony response format necessary for gpt-oss models, addressing a specific pain point for developers integrating AI models into their products. It includes practical installation instructions and examples, making it actionable for developers.","\u002Fsummaries\u002F8fee41411642a9b7-harmony-render-gpt-oss-response-format-in-rust-pyt-summary","2026-04-16 03:07:33",{"title":7604,"description":66},{"loc":7716},"8fee41411642a9b7","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fharmony","summaries\u002F8fee41411642a9b7-harmony-render-gpt-oss-response-format-in-rust-pyt-summary",[125,126,127],"OpenAI's harmony library encodes\u002Fdecodes the harmony response format required for gpt-oss open-weight models in custom inference setups, mimicking the OpenAI API with multi-channel support for reasoning and tools.",[],"C5U8PWt3Bm5l1z20k8w-gzxDIGVbaFty5WmLaRh64O0",{"id":7728,"title":7729,"ai":7730,"body":7736,"categories":7806,"created_at":75,"date_modified":75,"description":66,"extension":76,"faq":75,"featured":77,"kicker_label":75,"meta":7807,"navigation":113,"path":7817,"published_at":7818,"question":75,"scraped_at":7819,"seo":7820,"sitemap":7821,"source_id":7822,"source_name":7823,"source_type":7824,"source_url":7825,"stem":7826,"tags":7827,"thumbnail_url":7829,"tldr":7830,"tweet":7831,"unknown_tags":7832,"__hash__":7833},"summaries\u002Fsummaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary.md","Decoupling AI Tasks from Model Implementation with DSPy",{"provider":7,"model":7731,"input_tokens":7732,"output_tokens":7733,"processing_time_ms":7734,"cost_usd":7735},"google\u002Fgemini-3.1-flash-lite",6928,659,3401,0.0027205,{"type":14,"value":7737,"toc":7801},[7738,7742,7749,7753,7756,7777,7781,7784,7787],[17,7739,7741],{"id":7740},"the-case-for-functional-ai-programming","The Case for Functional AI Programming",[22,7743,7744,7745,7748],{},"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 ",[39,7746,7747],{},"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.",[17,7750,7752],{"id":7751},"the-three-pillars-of-task-specification","The Three Pillars of Task Specification",[22,7754,7755],{},"To move beyond manual prompt tuning and enable automatic optimization, DSPy requires three distinct components to fully specify a task:",[7757,7758,7759,7765,7771],"ol",{},[7156,7760,7761,7764],{},[39,7762,7763],{},"Instructions (Specs):"," Natural language definitions of what the task should achieve, independent of the model provider or specific prompt format.",[7156,7766,7767,7770],{},[39,7768,7769],{},"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.",[7156,7772,7773,7776],{},[39,7774,7775],{},"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.\"",[17,7778,7780],{"id":7779},"future-proofing-with-modular-ecosystems","Future-Proofing with Modular Ecosystems",[22,7782,7783],{},"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.",[22,7785,7786],{},"Looking ahead, the DSPy team is moving toward:",[7153,7788,7789,7795],{},[7156,7790,7791,7794],{},[39,7792,7793],{},"DSPy Flex:"," Learning a custom harness over time to solve specific functions, moving beyond simple prompt optimization to code-level optimization.",[7156,7796,7797,7800],{},[39,7798,7799],{},"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":66,"searchDepth":67,"depth":67,"links":7802},[7803,7804,7805],{"id":7740,"depth":67,"text":7741},{"id":7751,"depth":67,"text":7752},{"id":7779,"depth":67,"text":7780},[74],{"content_references":7808,"triage":7815},[7809,7812],{"type":93,"title":7810,"url":7811,"context":95},"DSPy","https:\u002F\u002Fgithub.com\u002Fstanfordnlp\u002Fdspy",{"type":7215,"title":7813,"author":7814,"context":84},"Recursive Language Models","Alex Zang",{"relevance":109,"novelty":110,"quality":110,"actionability":110,"composite":111,"reasoning":7816},"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.","\u002Fsummaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary","2026-07-23 17:45:06","2026-07-23 18:18:48",{"title":7729,"description":66},{"loc":7817},"d140953fe4179f6a","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=GgLQ02aO-hs","summaries\u002Fd140953fe4179f6a-decoupling-ai-tasks-from-model-implementation-with-summary",[125,126,127,7828],"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.",[7828],"ueRl4GqktWNaHS5uTcd2aMBmfMzJjo31qUFmsz5zzcI"]