{"id":97669,"date":"2026-09-17T12:08:58","date_gmt":"2026-09-17T09:08:58","guid":{"rendered":"https:\/\/twodots.gr\/?p=97669"},"modified":"2026-09-17T12:09:00","modified_gmt":"2026-09-17T09:09:00","slug":"llm-smartsolve-dynamic-algorithm-dispatch","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/llm-smartsolve-dynamic-algorithm-dispatch\/","title":{"rendered":"\u038c\u03c4\u03b1\u03bd \u03c4\u03bf LLM \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf: \u03c4\u03bf SmartSolve \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 benchmarks \u03c3\u03b5 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0391\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ce\u03c4\u03b1:<\/strong> \u03c4\u03bf SmartSolve \u03b4\u03b5\u03bd \u03b6\u03b7\u03c4\u03ac \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 LLM \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af \u03c0\u03b1\u03c1\u03b1\u03b3\u03bf\u03bd\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 LU \u03bf\u03cd\u03c4\u03b5 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bd\u03bf\u03b5\u03af \u03ad\u03bd\u03b1\u03bd \u03bb\u03cd\u03c4\u03b7 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c7\u03c1\u03cc\u03bd\u03bf. \u03a4\u03bf\u03c5 \u03b4\u03af\u03bd\u03b5\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2, \u03ad\u03bd\u03b1\u03bd \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03cc \u03ba\u03b1\u03c4\u03ac\u03bb\u03bf\u03b3\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03c9\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ae \u03bc\u03bf\u03c1\u03c6\u03ae \u03b5\u03be\u03cc\u03b4\u03bf\u03c5, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 dynamic algorithm dispatch. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7\u03c2, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b5 \u03c4\u03bf \u03b5\u03c0\u03b9\u03b8\u03c5\u03bc\u03b7\u03c4\u03cc heuristic \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03c0\u03c5\u03ba\u03bd\u03ad\u03c2, \u03b1\u03c1\u03b1\u03b9\u03ad\u03c2 \u03ba\u03b1\u03b9 banded \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03b5\u03bd\u03cc: \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 short paper \u03b4\u03cd\u03bf \u03c3\u03b5\u03bb\u03af\u03b4\u03c9\u03bd, \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b5\u03c0\u03b9\u03c4\u03ac\u03c7\u03c5\u03bd\u03c3\u03b7\u03c2 \u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7\u03c2 \u03c3\u03b5 QR, SVD \u03ba\u03b1\u03b9 FFT. \u0397 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u2014 benchmark, Pareto analysis, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03bd\u03ad\u03b1 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7 \u2014 \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03c5\u03c0\u03cc\u03c3\u03c7\u03b5\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf LLM \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c4\u03bf\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#epilogi-algorithmou\">\u03a4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5<\/a><\/li>\n<li><a href=\"#vasi-apodosis\">\u0397 \u03b2\u03ac\u03c3\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b8\u03b5\u03bc\u03ad\u03bb\u03b9\u03bf<\/a><\/li>\n<li><a href=\"#pareto-analysis\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf Pareto analysis \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03b7 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#prompt-treis-periorismoi\">\u03a4\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03ba\u03c1\u03b1\u03c4\u03bf\u03cd\u03bd \u03c4\u03bf LLM \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#lu-meleti-periptosis\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7\u03c2 LU<\/a><\/li>\n<li><a href=\"#llama-mistral-asafeia\">LLaMA 3 \u03ae Mistral: \u03b7 \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03b5\u03af<\/a><\/li>\n<li><a href=\"#kanonas-den-arkei\">\u0388\u03bd\u03b1\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03bf\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 validation<\/a><\/li>\n<li><a href=\"#context-fine-tuning\">\u03a4\u03bf \u03cc\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 context \u03ba\u03b1\u03b9 \u03b7 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 fine-tuning<\/a><\/li>\n<li><a href=\"#epicheirimatiko-routing\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc routing<\/a><\/li>\n<li><a href=\"#pilot-epta-vimata\">\u0388\u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf pilot \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#symperasma-smartsolve\">\u03a4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 SmartSolve<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"epilogi-algorithmou\">\u03a4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5<\/h2>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ae \u03ac\u03bb\u03b3\u03b5\u03b2\u03c1\u03b1, \u03bf \u03af\u03b4\u03b9\u03bf\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc\u03c2 \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03be\u03c5\u03c0\u03b7\u03c1\u03b5\u03c4\u03b7\u03b8\u03b5\u03af \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2. \u039c\u03b9\u03b1 \u03c0\u03c5\u03ba\u03bd\u03ae \u03bc\u03ae\u03c4\u03c1\u03b1, \u03bc\u03b9\u03b1 \u03b1\u03c1\u03b1\u03b9\u03ae \u03bc\u03ae\u03c4\u03c1\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03bc\u03ae\u03c4\u03c1\u03b1 \u03bc\u03b5 \u03c3\u03c4\u03b5\u03bd\u03ae \u03b6\u03ce\u03bd\u03b7 \u03b4\u03b5\u03bd \u03ad\u03c7\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b4\u03bf\u03bc\u03ae. \u0397 banded LU \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03b6\u03c9\u03bd\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b5\u03bd\u03ce \u03bb\u03cd\u03c4\u03b5\u03c2 \u03cc\u03c0\u03c9\u03c2 \u03bf\u03b9 KLU \u03ba\u03b1\u03b9 UMFPACK \u03ad\u03c7\u03bf\u03c5\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03b3\u03b9\u03b1 \u03b1\u03c1\u03b1\u03b9\u03ac \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03b1. \u0397 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03bc\u03b9\u03b1\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c0\u03c5\u03ba\u03bd\u03ae\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5 \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ae \u03c9\u03c2 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae, \u03b1\u03bb\u03bb\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03b3\u03bd\u03bf\u03b5\u03af \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03c3\u03c4\u03b7\u03bd \u03b5\u03af\u03c3\u03bf\u03b4\u03bf.<\/p>\n<p>\u039f\u03b9 \u03b2\u03b9\u03b2\u03bb\u03b9\u03bf\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c3\u03b5 Julia, Python \u03ba\u03b1\u03b9 MATLAB \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd heuristics \u03b3\u03b9\u03b1 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2. \u039a\u03b1\u03b8\u03ce\u03c2 \u03cc\u03bc\u03c9\u03c2 \u03b1\u03c5\u03be\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03b9 \u03b4\u03bf\u03bc\u03ad\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03bf\u03b9 \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b9\u03ba\u03c4\u03ae\u03c2 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2, \u03bf\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 hardware \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03b9 \u03bb\u03cd\u03c4\u03b5\u03c2, \u03bf\u03b9 \u03c7\u03b5\u03b9\u03c1\u03bf\u03c0\u03bf\u03af\u03b7\u03c4\u03bf\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7. \u03a4\u03bf SmartSolve \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c7\u03b8\u03b5\u03af \u03b1\u03c0\u03cc \u03c3\u03c5\u03c3\u03c4\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 benchmark \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03b5\u03af\u03bd\u03b5\u03b9 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03bc\u03b5 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/llm-routing-latency-accuracy-cost\/\">LLM routing \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b8\u03c5\u03c3\u03c4\u03ad\u03c1\u03b7\u03c3\u03b7, \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2<\/a>: \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae, \u03b1\u03bb\u03bb\u03ac \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03af\u03c3\u03bf\u03b4\u03bf, \u03c4\u03bf\u03bd \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf \u03c0\u03cc\u03c1\u03bf \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7.<\/p>\n<h2 id=\"vasi-apodosis\">\u0397 \u03b2\u03ac\u03c3\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b8\u03b5\u03bc\u03ad\u03bb\u03b9\u03bf<\/h2>\n<p>\u03a4\u03bf LLM \u03b4\u03b5\u03bd \u03ba\u03b1\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b1\u03bd\u03c4\u03ad\u03c8\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b3\u03bd\u03ce\u03c3\u03b7 \u03c4\u03bf\u03c5. \u0397 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03bc\u03b5 benchmarking \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03c9\u03bd \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03bc\u03b7\u03c4\u03c1\u03ce\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf Matrix Depot, \u03cc\u03c0\u03c9\u03c2 Hilbert, Vandermonde \u03ba\u03b1\u03b9 Toeplitz, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2, \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03ce\u03bd. \u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7\u03c2 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03b1\u03c1\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 condition number.<\/p>\n<p>\u03a0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ce\u03bd\u03c4\u03b1\u03b9 \u03bf \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7\u03c2, \u03b7 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03b2\u03ac\u03c1\u03c5\u03bd\u03c3\u03b7 \u03b1\u03c0\u03cc \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae \u03c4\u03cd\u03c0\u03bf\u03c5 \u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2. \u0397 \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03b1 \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7: \u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae \u03bc\u03b9\u03b1\u03c2 \u03bc\u03ae\u03c4\u03c1\u03b1\u03c2 \u03c3\u03b5 sparse \u03bc\u03bf\u03c1\u03c6\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c8\u03b5\u03b9 \u03b3\u03c1\u03b7\u03b3\u03bf\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03bb\u03cd\u03c4\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2. \u039c\u03b9\u03b1 \u03c3\u03bf\u03b2\u03b1\u03c1\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae dispatch \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03bd \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c0\u03c5\u03c1\u03ae\u03bd\u03b1.<\/p>\n<aside class=\"td-article-note\"><strong>\u03a4\u03bf LLM \u03b4\u03b5\u03bd \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03b9 \u03ba\u03b1\u03ba\u03cc benchmarking:<\/strong> \u03b1\u03bd \u03bb\u03b5\u03af\u03c0\u03b5\u03b9 \u03c4\u03bf conversion overhead, \u03b1\u03bd \u03c4\u03b1 workloads \u03b4\u03b5\u03bd \u03b5\u03ba\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03ae \u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf hardware \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03ad\u03b1 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7, \u03bf \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b8\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b9\u03bc\u03bf\u03c2 \u03b1\u03bb\u03bb\u03ac \u03b8\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03bb\u03bb\u03b9\u03c0\u03ae evidence.<\/aside>\n<p>\u0397 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b2\u03ac\u03c3\u03b7\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c5\u03c7\u03ad\u03c1\u03b5\u03b9\u03b1 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03b5 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 AI \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b1: \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b7 <a href=\"https:\/\/twodots.gr\/every-eval-ever-ai-benchmarks-diafaneia\/\">\u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03c4\u03c9\u03bd AI benchmarks<\/a>, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2 \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf, \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2, \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03b1 \u03c0\u03c1\u03b9\u03bd \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2.<\/p>\n<h2 id=\"pareto-analysis\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf Pareto analysis \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03b7 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/h2>\n<p>\u03a4\u03bf SmartSolve \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 Pareto. \u039c\u03b9\u03b1 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ba\u03ac\u03c0\u03bf\u03b9\u03b1 \u03ac\u03bb\u03bb\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03b3\u03c1\u03b7\u03b3\u03bf\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7. \u038c\u03c4\u03b1\u03bd \u03cc\u03bc\u03c9\u03c2 \u03ad\u03bd\u03b1\u03c2 \u03bb\u03cd\u03c4\u03b7\u03c2 \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03c3\u03b5 \u03c7\u03c1\u03cc\u03bd\u03bf \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03bf\u03c2 \u03c3\u03b5 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03bc\u03af\u03b1 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03b7 \u00ab\u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7\u00bb \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u00b7 \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03c3\u03c4\u03cc\u03c7\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03cc\u03c1\u03b9\u03b1.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">\u03a0\u03c5\u03ba\u03bd\u03ae LU<\/p>\n<p>\u0397 xGETRF \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03b5 \u03bc\u03b5\u03c1\u03b9\u03ba\u03ae \u03bf\u03b4\u03ae\u03b3\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 Poisson \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b4\u03bf\u03bc\u03ae-\u03b5\u03b9\u03b4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Dense<\/span><span class=\"td-badge\">General purpose<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">\u0391\u03c1\u03b1\u03b9\u03bf\u03af \u03bb\u03cd\u03c4\u03b5\u03c2<\/p>\n<p>UMFPACK \u03ba\u03b1\u03b9 KLU \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd sparse \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u0397 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03bf\u03bd\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Sparse<\/span><span class=\"td-badge\">Conversion cost<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Banded LU<\/p>\n<p>\u0397 xGBTRF \u03b5\u03ba\u03bc\u03b5\u03c4\u03b1\u03bb\u03bb\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b7 \u03b6\u03c9\u03bd\u03b9\u03ba\u03ae \u03b4\u03bf\u03bc\u03ae \u03cc\u03c4\u03b1\u03bd \u03b1\u03c5\u03c4\u03ae \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac, \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03c0\u03c5\u03ba\u03bd\u03cc \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03cc.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Banded<\/span><span class=\"td-badge\">Structure aware<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03c3\u03b5 routing \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd, \u03c0\u03b1\u03c1\u03cc\u03c7\u03c9\u03bd \u03ae workflows: \u03bf \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2, \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ad\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ac \u03c4\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03b1, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b4\u03b5\u03bd \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03b1 ROI \u03ae \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1\u03c2.<\/p>\n<h2 id=\"prompt-treis-periorismoi\">\u03a4\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03ba\u03c1\u03b1\u03c4\u03bf\u03cd\u03bd \u03c4\u03bf LLM \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1<\/h2>\n<p>\u03a4\u03bf prompt \u03ad\u03c7\u03b5\u03b9 \u03c4\u03c1\u03af\u03b1 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ac \u03bc\u03ad\u03c1\u03b7. \u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c3\u03b1\u03c6\u03ae \u03c1\u03cc\u03bb\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c4\u03cc\u03c7\u03bf, \u03cc\u03c0\u03c9\u03c2 \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc\u03c2 \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03bf\u03bd\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03bc\u03b7\u03c4\u03c1\u03ce\u03bd. \u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03c9\u03bd, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03bd\u03b1 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 benchmarks \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf pretraining. \u03a4\u03c1\u03af\u03c4\u03bf\u03bd, \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bc\u03b9\u03b1 \u03b4\u03b5\u03bd\u03b4\u03c1\u03bf\u03b5\u03b9\u03b4\u03ae \u03ad\u03be\u03bf\u03b4\u03bf if\/else \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b9\u03c2 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2.<\/p>\n<p>\u0397 \u03bc\u03bf\u03c1\u03c6\u03ae \u03b5\u03be\u03cc\u03b4\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 control \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b4\u03b9\u03b1\u03ba\u03cc\u03c3\u03bc\u03b7\u03c3\u03b7. \u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03b1\u03c3\u03c5\u03bd\u03b5\u03c0\u03b5\u03af\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c3\u03b5 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf dataset. \u0388\u03bd\u03b1 \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 code review, \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03b8\u03b5\u03af \u03c3\u03b5 \u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03cc. \u03a4\u03bf LLM \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03ae \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7\u03c2 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03cc \u03c7\u03ce\u03c1\u03bf \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03b1\u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ae\u03c2 online \u03c5\u03c0\u03b7\u03c1\u03b5\u03c3\u03af\u03b1 \u03c0\u03bf\u03c5 \u03ba\u03b1\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03bf\u03bd\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7.<\/p>\n<p>\u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03cc\u03c0\u03c9\u03c2 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/schemarouter-ai-agents-field-aware-rag\/\">SchemaRouter \u03b3\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03b5\u03b4\u03af\u03c9\u03bd<\/a>: \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2, \u03c4\u03b1 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae \u03c4\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c1\u03b7\u03c4\u03ac.<\/p>\n<h2 id=\"lu-meleti-periptosis\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7\u03c2 LU<\/h2>\n<p>\u0397 SmartSolve.jl \u03b2\u03ac\u03c3\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c0\u03c5\u03ba\u03bd\u03bf\u03cd\u03c2, \u03b1\u03c1\u03b1\u03b9\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 banded \u03bb\u03cd\u03c4\u03b5\u03c2 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b4\u03bf\u03bc\u03b9\u03ba\u03ac \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03ae\u03c4\u03c1\u03b5\u03c2. \u03a3\u03c4\u03b7 Figure 2, \u03bc\u03b9\u03b1 Poisson \u03bc\u03ae\u03c4\u03c1\u03b1 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd 2<sup>12<\/sup> \u03b5\u03c0\u03af 2<sup>12<\/sup> \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2. \u039f\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03af \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 double precision. \u0397 dense xGETRF \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, \u03b5\u03bd\u03ce \u03b7 sparse \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae \u03bc\u03b5 UMFPACK \u03ae KLU \u03ba\u03b1\u03b9 \u03b7 banded xGBTRF \u03c0\u03b5\u03c4\u03c5\u03c7\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03bc\u03b5 \u03ba\u03bb\u03ac\u03c3\u03bc\u03b1 \u03c4\u03bf\u03c5 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2.<\/p>\n<p>\u03a4\u03bf paper \u03b4\u03b5\u03bd \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03b5\u03b9 \u03c3\u03c4\u03bf\u03bd \u03c3\u03c5\u03bd\u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 \u03bb\u03cc\u03b3\u03bf \u03ad\u03bd\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf speedup, aggregate accuracy \u03ae error rate \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03bf heuristic. \u0393\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ad\u03bd\u03c4\u03b9\u03bc\u03bf\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc\u03c2 chart \u03c0\u03bf\u03c5 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03b1\u03c3\u03c4\u03b5\u03af \u03b1\u03c0\u03cc \u03c4\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf. \u0397 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b7 \u03b4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5: \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ae\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03bf\u03c5 \u03b5\u03c0\u03b9\u03b8\u03c5\u03bc\u03b7\u03c4\u03bf\u03cd LU dispatch heuristic.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03b5\u03bd\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u00ab\u03b1\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03bd\u03ad\u03bf\u03c5 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5\u00bb. \u03a4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03b8\u03c5\u03bc\u03b7\u03c4\u03ae \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03ae. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b8\u03b1 \u03b2\u03c1\u03b5\u03b9 \u03bd\u03ad\u03bf solver, \u03cc\u03c4\u03b9 \u03b8\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03c3\u03b5\u03b9 \u03c3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03bf hardware \u03ae \u03cc\u03c4\u03b9 \u03b7 \u03ad\u03be\u03bf\u03b4\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c1\u03b8\u03ae \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03c4\u03c9\u03bd benchmarks.<\/p>\n<h2 id=\"llama-mistral-asafeia\">LLaMA 3 \u03ae Mistral: \u03b7 \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03b5\u03af<\/h2>\n<p>\u03a4\u03bf abstract \u03ba\u03b1\u03b9 \u03b7 \u03bb\u03af\u03c3\u03c4\u03b1 \u03c3\u03c5\u03bd\u03b5\u03b9\u03c3\u03c6\u03bf\u03c1\u03ce\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 LLaMA 3. \u03a3\u03c4\u03b7\u03bd \u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd, \u03cc\u03bc\u03c9\u03c2, \u03c4\u03bf paper \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf Julia notebook \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf 7B Mistral v0.3 \u03bc\u03ad\u03c3\u03c9 Ollama v0.9.4. \u03a4\u03bf \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b4\u03b5\u03bd \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b1\u03bd \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c6\u03ac\u03c3\u03b7, \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03ae \u03c3\u03c5\u03bd\u03c4\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1.<\/p>\n<p>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03bf\u03cd\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03b1, \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03b9\u03ba\u03b1\u03c3\u03af\u03b1. \u03a3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03cc \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 model identifier, \u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 runtime, \u03c4\u03bf prompt, \u03c4\u03bf dataset snapshot \u03ba\u03b1\u03b9 \u03bf \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03b5\u03be\u03cc\u03b4\u03bf\u03c5\u03c2, \u03ac\u03c1\u03b1 \u03c4\u03bf provenance \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b3\u03c1\u03b1\u03c6\u03b5\u03b9\u03bf\u03ba\u03c1\u03b1\u03c4\u03b9\u03ba\u03ae \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1.<\/p>\n<aside class=\"td-article-note\"><strong>\u0397 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b8\u03ad\u03bb\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03bc\u03bf:<\/strong> \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03bf repository, \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03bb\u03b5\u03b9\u03b4\u03c9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2, benchmark manifest, seed \u03ae generation settings, prompt snapshot \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c0\u03bf\u03c5 \u03c4\u03bf\u03bd \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b1\u03bd.<\/aside>\n<h2 id=\"kanonas-den-arkei\">\u0388\u03bd\u03b1\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03bf\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 validation<\/h2>\n<p>\u0388\u03bd\u03b1 if\/else \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03bf \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03b1\u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03bf\u03c1\u03b8\u03cc\u03c4\u03b7\u03c4\u03b1. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c3\u03c5\u03c7\u03bd\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 prompt \u03ae \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03bf\u03af \u03b3\u03cd\u03c1\u03bf\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2. \u039f \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03be\u03b1\u03bd\u03ac \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc holdout \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c4\u03bf\u03bd \u03b3\u03ad\u03bd\u03bd\u03b7\u03c3\u03b1\u03bd.<\/p>\n<p>\u0397 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9. \u03a4\u03bf LLM \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03b5\u03ba\u03c4\u03cc\u03c2 \u03c4\u03b7\u03c2 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2\u00b7 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2, benchmarks, \u03cc\u03c1\u03b9\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03b5\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03bf\u03c5\u03bd \u03b1\u03bd \u03b8\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af. \u0391\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5, \u03cc\u03c7\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c4\u03bf\u03c5 paper.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">Production gate \u03b3\u03b9\u03b1 algorithm dispatch<\/p>\n<p class=\"td-decision-title\">\u039f \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b1 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b1\u03bb\u03ae\u03b8\u03b5\u03b9\u03b1<\/p>\n<p>\u03a0\u03c1\u03bf\u03c7\u03c9\u03c1\u03ae\u03c3\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf benchmark dataset \u03b5\u03af\u03bd\u03b1\u03b9 versioned, \u03bf\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bb\u03b5\u03b9\u03b4\u03c9\u03bc\u03ad\u03bd\u03b5\u03c2, \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03ac\u03b8\u03b5 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b7\u03b8\u03b5\u03af, \u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03c0\u03b5\u03c1\u03bd\u03ac holdout \u03ba\u03b1\u03b9 edge-case tests, \u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 fallback. \u0391\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 hardware, workload \u03ae \u03b2\u03b9\u03b2\u03bb\u03b9\u03bf\u03b8\u03ae\u03ba\u03b7 solver, \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b5\u03ba\u03c4\u03b9\u03bc\u03b7\u03b8\u03b5\u03af.<\/p>\n<\/div>\n<p>\u0397 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 logs, \u03b9\u03b4\u03b9\u03bf\u03ba\u03c4\u03b7\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ac\u03ba\u03bb\u03b7\u03c3\u03b7 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7 <a href=\"https:\/\/twodots.gr\/data-silos-audit-trail-smart-manufacturing\/\">\u03b1\u03c0\u03cc data silos \u03c3\u03b5 audit trail<\/a>. \u0388\u03bd\u03b1\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ae \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 rollback \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03ad\u03bf \u03b1\u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ad\u03c2 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03c4\u03b7\u03c2 \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae\u03c2.<\/p>\n<h2 id=\"context-fine-tuning\">\u03a4\u03bf \u03cc\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 context \u03ba\u03b1\u03b9 \u03b7 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 fine-tuning<\/h2>\n<p>\u0397 \u03b2\u03ac\u03c3\u03b7 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03c9\u03bd \u03bc\u03c0\u03b1\u03af\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf prompt, \u03b1\u03bb\u03bb\u03ac \u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf\u03c2 \u03c7\u03ce\u03c1\u03bf\u03c2 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c0\u03b5\u03c1\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2. \u038c\u03c3\u03bf \u03b1\u03c5\u03be\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03b9 \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9, \u03c4\u03b1 hardware targets, \u03bf\u03b9 \u03bc\u03bf\u03c1\u03c6\u03ad\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b1 benchmarks, \u03c4\u03cc\u03c3\u03bf \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03cc\u03bb\u03b1 \u03bc\u03b5 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf fine-tuning \u03c9\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc \u03c4\u03c1\u03cc\u03c0\u03bf \u03bd\u03b1 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03b5\u03c5\u03c4\u03b5\u03af \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b7\u03bc\u03ad\u03bd\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1. \u03a4\u03bf fine-tuning \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 prompt \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 training dataset, \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf hardware \u03ae \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03bd\u03c4\u03b1\u03b9 \u03bb\u03cd\u03c4\u03b5\u03c2. \u0394\u03b5\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 holdout validation \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b8\u03b1 \u03b8\u03c5\u03bc\u03ac\u03c4\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03ba\u03ac\u03b8\u03b5 \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7.<\/p>\n<p>\u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 retrieval, \u03c3\u03c5\u03bc\u03c0\u03b9\u03b5\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03ba\u03b1\u03b9 fine-tuning \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1, \u03c4\u03b7 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2. \u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b7 \u03c7\u03b1\u03b8\u03b5\u03af \u03b7 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 branch \u03c4\u03bf\u03c5 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf evidence \u03c0\u03bf\u03c5 \u03c4\u03bf \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9.<\/p>\n<h2 id=\"epicheirimatiko-routing\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc routing<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf router \u03b3\u03b9\u03b1 \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2, \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ae customer-support workflows. \u03a0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03cc \u03bc\u03bf\u03c4\u03af\u03b2\u03bf: \u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03cc \u03ba\u03b1\u03c4\u03ac\u03bb\u03bf\u03b3\u03bf \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac workloads, \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03c4\u03b1 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf LLM \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c3\u03b5\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03b5\u03bb\u03b5\u03cd\u03b8\u03b5\u03c1\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c6\u03bf\u03c1\u03ac.<\/p>\n<p>\u03a3\u03b5 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03bf\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 AI, \u03c0\u03ac\u03c1\u03bf\u03c7\u03bf\u03b9, \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2 \u03ae \u03c1\u03bf\u03ad\u03c2 back office. \u03a4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1, \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, deadline \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf budget. \u039f\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc \u03b3\u03b5\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03c4\u03c5\u03c0\u03ce\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u0397 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/poio-ai-montelo-axizei-gia-tin-epicheirisi\/\">\u03c0\u03bf\u03b9\u03bf AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7<\/a> \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03b3\u03b5\u03b9 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf: \u03bc\u03b9\u03b1 \u03bc\u03cc\u03bd\u03b9\u03bc\u03b7, \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b3\u03b5\u03c1\u03bd\u03ac \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03b1. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 benchmarks, \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 fallback \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b9\u03bc\u03ad\u03c2, \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ae \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af.<\/p>\n<h2 id=\"pilot-epta-vimata\">\u0388\u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf pilot \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1<\/h2>\n<p>\u0388\u03bd\u03b1 pilot \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03b1\u03bc\u03ad\u03c3\u03c9\u03c2 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u0397 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 policy candidate, \u03bd\u03b1 \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd baseline \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b1\u03c0\u03bf\u03ba\u03bb\u03af\u03c3\u03b5\u03b9\u03c2. \u039c\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf evidence \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03bd\u03ac \u03c3\u03b5 shadow mode \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03cc\u03c0\u03b9\u03bd \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf benchmark \u03c3\u03c4\u03bf\u03bd \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03bc\u03af\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/strong>\n<p>\u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c4\u03b9 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03c4\u03b1\u03b9, \u03c0\u03bf\u03b9\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b4\u03c1\u03bf\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 2<\/span><strong>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5<\/strong>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf fields \u03c0\u03bf\u03c5 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03bc\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc schema \u03ba\u03b1\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7, \u03c7\u03c9\u03c1\u03af\u03c2 leakage \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 3<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae<\/strong>\n<p>\u03a3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 conversion, network, queue, inference, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03b1\u03bd\u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2 \u2014 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03bd \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03bf \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c0\u03c5\u03c1\u03ae\u03bd\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 4<\/span><strong>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac<\/strong>\n<p>\u0391\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03c3\u03c4\u03b5 \u03c7\u03c1\u03cc\u03bd\u03bf, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c1\u03b7\u03c4\u03ac \u03c0\u03bf\u03b9\u03b1 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03bc\u03b5 Pareto \u03ae policy constraints.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 5<\/span><strong>\u03a0\u03b1\u03c1\u03ac\u03b3\u03b5\u03c4\u03b5 versioned policy candidate<\/strong>\n<p>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 prompt, model, dataset snapshot \u03ba\u03b1\u03b9 \u03ad\u03be\u03bf\u03b4\u03bf\u00b7 \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c8\u03c4\u03b5 branch \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bc\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03ae \u03bc\u03b7 \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 6<\/span><strong>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 holdout, edge cases \u03ba\u03b1\u03b9 shadow mode<\/strong>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03bc\u03b5 baseline \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc workload, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03bb\u03ac\u03b8\u03b7 \u03b1\u03bd\u03ac slice \u03ba\u03b1\u03b9 \u03bc\u03b7\u03bd \u03b1\u03c6\u03ae\u03c3\u03b5\u03c4\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c0\u03c1\u03b9\u03bd \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf gate.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 7<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 monitoring \u03ba\u03b1\u03b9 rollback<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 thresholds, owner, fallback \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 hardware, \u03c4\u03b9\u03bc\u03ae, traffic mix \u03ae \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf pilot \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03b3\u03b5\u03b9 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7: \u03c0\u03bf\u03b9\u03b1 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03b3\u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b5, \u03c3\u03b5 \u03c0\u03bf\u03b9\u03bf scope, \u03bc\u03b5 \u03c0\u03bf\u03b9\u03bf evidence \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03ac\u03ba\u03bb\u03b7\u03c3\u03b7\u03c2. \u0397 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7.<\/p>\n<h2 id=\"symperasma-smartsolve\">\u03a4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 SmartSolve<\/h2>\n<p>\u03a4\u03bf SmartSolve \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03ce\u03c1\u03b9\u03bc\u03bf \u03c1\u03cc\u03bb\u03bf \u03b3\u03b9\u03b1 \u03c4\u03b1 LLMs: \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03c3\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03c7\u03ce\u03c1\u03bf \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf\u03c5\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03bb\u03cd\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03b1\u03bb\u03bb\u03ac\u03c3\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b1\u03c0\u03cc benchmarking. \u03a3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af \u03c0\u03c1\u03b9\u03bd \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03b8\u03b5\u03af \u03c3\u03b5 \u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03cc \u03cc\u03c0\u03c9\u03c2 \u03c4\u03bf LinearSolve.jl.<\/p>\n<p>\u0397 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03c4\u03bf\u03c5 paper \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03b5\u03c0\u03b9\u03b8\u03c5\u03bc\u03b7\u03c4\u03bf\u03cd LU heuristic. \u03a4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1, \u03bf\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b1\u03c6\u03b5\u03af\u03c2: \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03cc prompt refinement, \u03bc\u03b9\u03ba\u03c1\u03cc context \u03ba\u03b1\u03b9 \u03b1\u03c3\u03ac\u03c6\u03b5\u03b9\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2. \u039f\u03b9 \u03b5\u03c0\u03b5\u03ba\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 QR, SVD \u03ba\u03b1\u03b9 FFT \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b4\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03ad\u03c7\u03c1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03b4\u03b9\u03ba\u03ad\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03c4\u03bf \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf prompt. \u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd, \u03b7 \u03b9\u03c7\u03bd\u03b7\u03bb\u03b1\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1. \u0395\u03ba\u03b5\u03af \u03c4\u03bf LLM \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c4\u03b1\u03c7\u03cd\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03b1 benchmarks \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 routing \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03b7\u03b8\u03b5\u03af \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03bb\u03b7\u03b8\u03b5\u03af<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2, \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, integrations, validation gates, audit trail, monitoring \u03ba\u03b1\u03b9 fallback \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 AI workflow \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03c3\u03b1\u03c6\u03ae \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03bf\u03b9 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c5\u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf AI workflow<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf dynamic algorithm dispatch;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5 \u03ae \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7, \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5, \u03c4\u03b9\u03c2 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03c3\u03c4\u03cc\u03c7\u03bf\u03c5\u03c2 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03ad\u03ba\u03b1\u03bd\u03b5 \u03c4\u03bf LLM \u03c3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03b2\u03ac\u03c3\u03b7 benchmarks \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ad\u03c2 \u03bf\u03b4\u03b7\u03b3\u03af\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c3\u03b5\u03b9 \u03b4\u03b5\u03bd\u03b4\u03c1\u03bf\u03b5\u03b9\u03b4\u03ae \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae if\/else \u03c0\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03bc\u03ae\u03c4\u03c1\u03b1\u03c2 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf LU.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b5 \u03c4\u03bf SmartSolve \u03bd\u03ad\u03bf \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf LU;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03bf paper. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ae \u03b5\u03c0\u03b1\u03bd\u03b1\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03b5\u03c0\u03b9\u03b8\u03c5\u03bc\u03b7\u03c4\u03bf\u03cd heuristic dispatch \u03b3\u03b9\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03c3\u03b5\u03c2 \u03c0\u03c5\u03ba\u03bd\u03ad\u03c2, \u03b1\u03c1\u03b1\u03b9\u03ad\u03c2 \u03ba\u03b1\u03b9 banded \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03bf\u03cd\u03bd \u03c4\u03bf\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03b1\u03c1\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 condition number, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 runtime, \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, conversion overhead, \u03bc\u03bf\u03c1\u03c6\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae hardware.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 Pareto analysis;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0393\u03b9\u03b1 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03bf\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03c7\u03c1\u03cc\u03bd\u03bf \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03af \u03c3\u03c4\u03cc\u03c7\u03bf\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03b2\u03b1\u03b8\u03bc\u03cc.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 LLaMA 3 \u03ae Mistral;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf abstract \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03bd\u03b5\u03b9\u03c3\u03c6\u03bf\u03c1\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd LLaMA 3, \u03b5\u03bd\u03ce \u03b7 \u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 7B Mistral v0.3 \u03bc\u03ad\u03c3\u03c9 Ollama v0.9.4. \u03a4\u03bf paper \u03b4\u03b5\u03bd \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03ac\u03bd\u03c4\u03b1 \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 prompt \u03ae \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03bf\u03cd\u03c2 \u03b3\u03cd\u03c1\u03bf\u03c5\u03c2, \u03b3\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03ba\u03ac\u03b8\u03b5 \u03ad\u03be\u03bf\u03b4\u03bf\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03ad\u03b1 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a0\u03c1\u03b9\u03bd \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd AI \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03b9, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf benchmark \u03c4\u03c9\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd holdout, edge-case \u03ba\u03b1\u03b9 rollback tests.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.21584\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Data-Driven Dynamic Algorithm Dispatch with Large Language Models<\/a><\/li>\n<li><a href=\"https:\/\/smartsolveai.mit.edu\/\" target=\"_blank\" rel=\"noopener\">MIT SmartSolveAI \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 project \u03ba\u03b1\u03b9 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/Smart-Solve-AI\/SmartSolve.jl\" target=\"_blank\" rel=\"noopener\">SmartSolve.jl \u2014 \u03b5\u03bd\u03b5\u03c1\u03b3\u03cc \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/JuliaLinearAlgebra\/MatrixDepot.jl\" target=\"_blank\" rel=\"noopener\">MatrixDepot.jl \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae\u03c2 test matrices<\/a><\/li>\n<li><a href=\"https:\/\/docs.sciml.ai\/LinearSolve\/dev\/basics\/algorithm_selection\/\" target=\"_blank\" rel=\"noopener\">LinearSolve.jl \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf\u03c2 \u03bf\u03b4\u03b7\u03b3\u03cc\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf SmartSolve \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03ce\u03c2 \u03ad\u03bd\u03b1 LLM \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 benchmarks \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 dynamic algorithm dispatch, \u03bc\u03b5 Pareto \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 validation \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>","protected":false},"author":1,"featured_media":98248,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[20565,20566,9225,20564,20567],"class_list":["post-97669","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-algorithm-dispatch","tag-benchmarks","tag-llm","tag-smartsolve-jl","tag-grammiki-algevra"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97669","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=97669"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97669\/revisions"}],"predecessor-version":[{"id":98249,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97669\/revisions\/98249"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/98248"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=97669"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=97669"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=97669"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}