{"id":96253,"date":"2026-09-09T09:30:15","date_gmt":"2026-09-09T06:30:15","guid":{"rendered":"https:\/\/twodots.gr\/?p=96253"},"modified":"2026-09-09T09:30:17","modified_gmt":"2026-09-09T06:30:17","slug":"flavourbench-axiopisti-axiologisi-ai","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/flavourbench-axiopisti-axiologisi-ai\/","title":{"rendered":"FlavourBench: \u03c4\u03b9 \u03bc\u03b1\u03c2 \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03ba\u03bf\u03c5\u03b6\u03af\u03bd\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 AI"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf FlavourBench \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03b4\u03b5\u03bd \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf leaderboard, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03c3\u03b1\u03c6\u03ae \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03bf \u03bf\u03c1\u03b9\u03c3\u03bc\u03cc \u03c4\u03b7\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ae\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac\u03c2.<\/strong> \u0391\u03bd\u03c4\u03af \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ac \u03b1\u03c0\u03cc \u03ac\u03bb\u03bb\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c0\u03b1\u03b3\u03ce\u03bd\u03b5\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf inference \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c4\u03bf\u03c5\u03c2.<\/p>\n<p>\u0397 \u03b3\u03b1\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03b5\u03b4\u03af\u03bf \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae\u03c2, \u03cc\u03c7\u03b9 \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1. \u0393\u03b9\u03b1 product, e-commerce \u03ba\u03b1\u03b9 automation \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2, \u03c4\u03bf \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03ac tasks, versioned scoring, parser contract, \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1\u03c2 \u03ce\u03c3\u03c4\u03b5 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03bd\u03b1 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03c3\u03b9\u03bc\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#ti-einai-flavourbench\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FlavourBench \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac<\/a><\/li>\n<li><a href=\"#apo-kriti-se-answer-map\">\u0391\u03c0\u03cc \u03c4\u03bf\u03bd \u03b1\u03c3\u03b1\u03c6\u03ae \u03ba\u03c1\u03b9\u03c4\u03ae \u03c3\u03b5 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03bf answer map<\/a><\/li>\n<li><a href=\"#treis-oikogeneies-ergasion\">\u03a4\u03c1\u03b5\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd, \u03bc\u03af\u03b1 \u03ba\u03bf\u03b9\u03bd\u03ae \u03b4\u03b9\u03b5\u03c0\u03b1\u03c6\u03ae<\/a><\/li>\n<li><a href=\"#koino-core-534\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc core \u03c4\u03c9\u03bd 534 tasks \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#leaderboard-avevaiotita\">\u03a4\u03bf leaderboard \u03b4\u03b5\u03bd \u03b4\u03af\u03bd\u03b5\u03b9 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae<\/a><\/li>\n<li><a href=\"#posa-dedomena\">\u03a0\u03cc\u03c3\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc benchmark<\/a><\/li>\n<li><a href=\"#metrics-filters-weights\">\u0391\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 metrics, filters \u03ba\u03b1\u03b9 weights<\/a><\/li>\n<li><a href=\"#allagi-reward-map\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf reward map<\/a><\/li>\n<li><a href=\"#post-training-format\">Post-training \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03bc\u03c0\u03b5\u03c1\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf format<\/a><\/li>\n<li><a href=\"#epicheirimatiko-framework\">\u0388\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc framework \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 AI<\/a><\/li>\n<li><a href=\"#oria-meletis\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2<\/a><\/li>\n<li><a href=\"#symperasma\">\u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b3\u03b1\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"ti-einai-flavourbench\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FlavourBench \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac<\/h2>\n<p>The <strong>FlavourBench<\/strong> \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b4\u03b7\u03bc\u03bf\u03c3\u03af\u03b5\u03c5\u03c3\u03b7 arXiv v3 \u03c4\u03c9\u03bd Josef Chen \u03ba\u03b1\u03b9 Erim Hayretci. \u0391\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af 27 \u03c3\u03cd\u03b3\u03c7\u03c1\u03bf\u03bd\u03b1 language-model endpoints \u03c3\u03b5 534 \u03ba\u03bf\u03b9\u03bd\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c5\u03c0\u03bf\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2, \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ce\u03bd \u03c5\u03bb\u03b9\u03ba\u03ce\u03bd. \u039a\u03ac\u03b8\u03b5 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bf\u03ba\u03c4\u03ce \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b1 \u03c5\u03bb\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03b6\u03b7\u03c4\u03ac \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03c1\u03b9\u03ce\u03bd, \u03ac\u03c1\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd 56 \u03bd\u03cc\u03bc\u03b9\u03bc\u03bf\u03b9 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03af.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd Epicure \u03ad\u03c7\u03b5\u03b9 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03bf\u03cd\u03c2 \u03c4\u03bf\u03c5\u03c2 56 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 table lookup \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03bf \u03c7\u03ac\u03c1\u03c4\u03b7 \u03b1\u03bd\u03c4\u03b1\u03bc\u03bf\u03b9\u03b2\u03ae\u03c2 0\u2013100. \u03a4\u03bf score \u03bc\u03b5\u03c4\u03c1\u03ac \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03bc\u03b5 \u03b1\u03c5\u03c4\u03cc\u03bd \u03c4\u03bf\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c7\u03ac\u03c1\u03c4\u03b7, \u03cc\u03c7\u03b9 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03b9\u03bc\u03b5\u03bd\u03b9\u03ba\u03ae \u03b3\u03b5\u03cd\u03c3\u03b7, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd \u03c6\u03b1\u03b3\u03b7\u03c4\u03bf\u03cd \u03ae \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03bd\u03bf\u03b7\u03bc\u03bf\u03c3\u03cd\u03bd\u03b7.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf 100 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u00ab\u03c4\u03ad\u03bb\u03b5\u03b9\u03b1 \u03b3\u03b5\u03cd\u03c3\u03b7\u00bb.<\/strong> \u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf endpoint \u03b5\u03c0\u03ad\u03bb\u03b5\u03be\u03b5 \u03c4\u03bf\u03bd \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc \u03c0\u03bf\u03c5 \u03bc\u03b5\u03b3\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03b4\u03b5\u03c3\u03bc\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 reference function \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf task. \u0397 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf \u03b1\u03bd \u03b1\u03c5\u03c4\u03cc\u03c2 \u03bf reward map \u03b5\u03ba\u03c6\u03c1\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03cc\u03c7\u03bf.<\/p>\n<\/aside>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc evaluation. \u0388\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 recommendation \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c3\u03c5\u03bd\u03ac\u03c6\u03b5\u03b9\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 stock, margin, \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 policy constraints. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c0\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc contract \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b5\u03bd\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u00ab\u03ba\u03b1\u03bb\u03ae\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2\u00bb.<\/p>\n<h2 id=\"apo-kriti-se-answer-map\">\u0391\u03c0\u03cc \u03c4\u03bf\u03bd \u03b1\u03c3\u03b1\u03c6\u03ae \u03ba\u03c1\u03b9\u03c4\u03ae \u03c3\u03b5 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03bf answer map<\/h2>\n<p>\u03a0\u03bf\u03bb\u03bb\u03ac \u03b1\u03bd\u03bf\u03b9\u03ba\u03c4\u03ac benchmarks \u03b2\u03b1\u03c3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ac panels \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03c9\u03bd \u03c0\u03c1\u03bf\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03c9\u03bd \u03ae \u03c3\u03b5 LLM-as-a-judge. \u0395\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03bf answer key, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd \u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c4\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03ba\u03c1\u03b9\u03c4\u03ae. \u03a4\u03bf exact match \u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1: \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03b7 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c9\u03c2 \u03b5\u03be\u03af\u03c3\u03bf\u03c5 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7.<\/p>\n<p>\u03a4\u03bf FlavourBench \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af dense answer maps. \u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 task, \u03c4\u03bf Epicure \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 utility \u03b3\u03b9\u03b1 \u03cc\u03bb\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03bd\u03cc\u03bc\u03b9\u03bc\u03bf\u03c5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b9\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03bd\u03c4\u03cc\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u0388\u03c4\u03c3\u03b9, \u03b4\u03cd\u03bf \u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bb\u03bb\u03ac \u03bc\u03b7 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03bb\u03ac\u03b2\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc partial credit \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bd\u03b1 \u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03ad\u03bd\u03b1 \u03c4\u03bf \u03ac\u03bb\u03bb\u03bf.<\/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\">Exact match<\/p>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b7 \u03b1\u03bd\u03b1\u03bc\u03b5\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7. \u0395\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc \u03ba\u03b1\u03b9 \u03c6\u03b8\u03b7\u03bd\u03cc, \u03b1\u03bb\u03bb\u03ac \u03c7\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03bc\u03b5 \u03ac\u03bd\u03b9\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Binary<\/span><span class=\"td-badge\">Deterministic<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">LLM-as-a-judge<\/p>\n<p>\u039a\u03bb\u03b9\u03bc\u03b1\u03ba\u03ce\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 answer key, \u03b1\u03bb\u03bb\u03ac \u03b5\u03b9\u03c3\u03ac\u03b3\u03b5\u03b9 \u03c0\u03c1\u03bf\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9\u03c2, calibration drift \u03ba\u03b1\u03b9 \u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Open-ended<\/span><span class=\"td-badge\">Judge risk<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Executable reward map<\/p>\n<p>\u0392\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03b5\u03ba \u03c4\u03c9\u03bd \u03c0\u03c1\u03bf\u03c4\u03ad\u03c1\u03c9\u03bd \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03af\u03bd\u03b5\u03b9 partial credit \u03bc\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc lookup. \u0391\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03cc\u03bc\u03c9\u03c2 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b7 domain logic.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Dense<\/span><span class=\"td-badge\">Versioned<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1. \u0395\u03ba\u03b5\u03af \u03cc\u03c0\u03bf\u03c5 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd tests, database state, simulator, rules engine \u03ae \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03b5\u03af \u03bc\u03b5 \u03b1\u03c5\u03c4\u03ac. \u0395\u03ba\u03b5\u03af \u03cc\u03c0\u03bf\u03c5 \u03bf \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03cc\u03c2, \u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03c4\u03b1\u03b9 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc. \u0397 \u03af\u03b4\u03b9\u03b1 \u03c0\u03b5\u03b9\u03b8\u03b1\u03c1\u03c7\u03af\u03b1 \u03c0\u03c1\u03bf\u03b4\u03b9\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 <a href=\"https:\/\/twodots.gr\/sdad-prodiagrafi-ai-anaptyxi-logismikou\/\">specification-driven \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 \u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03bf\u03cd \u03bc\u03b5 AI<\/a>.<\/p>\n<h2 id=\"treis-oikogeneies-ergasion\">\u03a4\u03c1\u03b5\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd, \u03bc\u03af\u03b1 \u03ba\u03bf\u03b9\u03bd\u03ae \u03b4\u03b9\u03b5\u03c0\u03b1\u03c6\u03ae<\/h2>\n<p>\u03a4\u03bf ranked core \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b1\u03c0\u03cc 178 tasks. \u03a3\u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c4\u03c1\u03af\u03b1 \u03c5\u03bb\u03b9\u03ba\u03ac \u03c0\u03bf\u03c5 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf\u03bd \u03c1\u03cc\u03bb\u03bf \u03b5\u03bd\u03cc\u03c2 anchor ingredient. \u03a3\u03c4\u03bf pairing \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ac \u03c4\u03c1\u03b9\u03ac\u03b4\u03b1 \u03c0\u03bf\u03c5 \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf anchor \u03ba\u03b1\u03b9 \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae. \u03a3\u03c4\u03bf\u03c5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03bd\u03b1 \u03c4\u03b7\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c4\u03c1\u03bf\u03c6\u03b9\u03ba\u03bf\u03af \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b9\u03ba\u03bf\u03af \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03b1\u03bd\u03ce\u03c4\u03b1\u03c4\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf NOVA.<\/p>\n<p>\u039f\u03b9 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03bf\u03c1\u03c6\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03af\u03b4\u03b9\u03b1 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1. \u0397 \u03c5\u03c0\u03bf\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf pairing \u03ad\u03c7\u03bf\u03c5\u03bd \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf 56 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03ad\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b5\u03c2, \u03b5\u03bd\u03ce \u03c4\u03b1 constraint maps \u03ad\u03c7\u03bf\u03c5\u03bd \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c0\u03bf\u03bb\u03bb\u03bf\u03af \u03bc\u03b7 \u03b5\u03c6\u03b9\u03ba\u03c4\u03bf\u03af \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03af \u03bc\u03b7\u03b4\u03b5\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9. \u0397 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 45,2, 45,0 \u03ba\u03b1\u03b9 3,4 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03ce\u03bc\u03b1 \u03c4\u03bf\u03c5 FlavourBench<\/p>\n<p class=\"td-chart-subtitle\">\u03a0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03c4\u03b7\u03c2 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7\u03c2 v3\u00b7 \u03bf\u03b9 101 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c3\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 Holm, \u03cc\u03c7\u03b9 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1\u03c2.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">27<\/span><span class=\"td-metric-label\">language-model endpoints<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">534<\/span><span class=\"td-metric-label\">\u03ba\u03bf\u03b9\u03bd\u03ac tasks \u03b1\u03bd\u03ac endpoint<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">14.418<\/span><span class=\"td-metric-label\">\u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 model-task cells<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">101\/351<\/span><span class=\"td-metric-label\">resolved paired contrasts \u03bc\u03b5\u03c4\u03ac Holm<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0388\u03bd\u03b1 aggregate score \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2. \u0394\u03cd\u03bf endpoints \u03bc\u03b5 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03bf \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ac: \u03c4\u03bf \u03ad\u03bd\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c4\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03b3\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ac\u03bb\u03bb\u03bf \u03c3\u03c4\u03b7\u03bd \u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03c3\u03ba\u03bb\u03b7\u03c1\u03ce\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ce\u03bd. \u03a3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae, \u03b7 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf AI \u03c7\u03b5\u03b9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c3\u03c5\u03bc\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7\u03c2 \u03ae \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1.<\/p>\n<h2 id=\"koino-core-534\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc core \u03c4\u03c9\u03bd 534 tasks \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7<\/h2>\n<p>\u039a\u03ac\u03b8\u03b5 endpoint \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b5 \u03c3\u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 534 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ce\u03bd\u03c4\u03b1\u03c2 14.418 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 parseable \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b5\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c5\u03c0\u03bf\u03c3\u03cd\u03bd\u03bf\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd provider failures \u03c3\u03b5 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ac \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03ac. \u039c\u03b9\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03bc\u03c0\u03b1\u03af\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf common core \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03cc\u03bb\u03b1 \u03c4\u03b1 endpoints \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03bf\u03c5\u03bd \u03ad\u03b3\u03ba\u03c5\u03c1\u03b7 \u03c4\u03c1\u03b9\u03ac\u03b4\u03b1.<\/p>\n<p>\u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 fixed SHA-256 ordering \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf \u03bc\u03cc\u03bd\u03bf status \u03ba\u03b1\u03b9 parser validity, \u03c0\u03c1\u03b9\u03bd \u03c6\u03bf\u03c1\u03c4\u03c9\u03b8\u03bf\u03cd\u03bd \u03bf\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03ae \u03c4\u03b1 scores. \u0391\u03c5\u03c4\u03ae \u03b7 score-blind \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf \u03b5\u03ba \u03c4\u03c9\u03bd \u03c5\u03c3\u03c4\u03ad\u03c1\u03c9\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2 \u00ab\u03b2\u03bf\u03bb\u03b9\u03ba\u03ce\u03bd\u00bb tasks \u03ba\u03b1\u03b9 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bf\u03c1\u03b8\u03bf\u03b3\u03ce\u03bd\u03b9\u03bf \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03b3\u03b9\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac paired comparisons.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 trade-off: \u03c4\u03bf benchmark \u03b5\u03ba\u03c4\u03b9\u03bc\u03ac \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03ac\u03c6\u03b5\u03c1\u03b1\u03bd \u03bd\u03b1 \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03c3\u03bf\u03c5\u03bd \u03cc\u03bb\u03bf\u03b9. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c4\u03b9 \u03b8\u03b1 \u03c3\u03c5\u03bd\u03ad\u03b2\u03b1\u03b9\u03bd\u03b5 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc task \u03ae \u03c3\u03b5 production traffic \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac failure modes. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 <a href=\"https:\/\/twodots.gr\/multimodal-ai-agents-antilipsi-drasi\/\">AI agent \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 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd, \u03c4\u03b9\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf recovery<\/a>, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b9\u03c2 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<h2 id=\"leaderboard-avevaiotita\">\u03a4\u03bf leaderboard \u03b4\u03b5\u03bd \u03b4\u03af\u03bd\u03b5\u03b9 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae<\/h2>\n<p>\u03a4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf point estimate \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf\u03c5 Grok 4.6 \u03bc\u03b5 65,1 \u03ba\u03b1\u03b9 simultaneous 95% interval 61,0\u201369,2. \u0391\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd Gemini 3.1 Pro \u03bc\u03b5 65,0, GPT-5.6 Sol Pro \u03bc\u03b5 64,2, Muse Spark 1.2 \u03bc\u03b5 63,8 \u03ba\u03b1\u03b9 GPT-5.6 Terra Pro \u03bc\u03b5 63,7. \u03a4\u03b1 bootstrap rank intervals \u03c4\u03b7\u03c2 \u03ba\u03bf\u03c1\u03c5\u03c6\u03ae\u03c2 \u03b5\u03c0\u03b9\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1: \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf endpoint \u03b5\u03ba\u03c4\u03b5\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 1 \u03ad\u03c9\u03c2 \u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 5.<\/p>\n<p>\u0391\u03c0\u03cc \u03c4\u03b9\u03c2 351 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03b6\u03b5\u03c5\u03b3\u03ce\u03bd, \u03bf\u03b9 101 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 Holm. \u03a4\u03b1 unresolved \u03b6\u03b5\u03cd\u03b3\u03b7 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03af\u03c3\u03b1. \u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03ba\u03bf\u03b9\u03bd\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b5\u03bd \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03c4\u03b9\u03ba\u03cc \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf familywise \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf point rank \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03c0\u03bb\u03bf\u03ae\u03b3\u03b7\u03c3\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03bf\u03c5 \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae.<\/strong> \u0393\u03b9\u03b1 procurement \u03ae marketing claim, \u03b4\u03b9\u03b1\u03b2\u03ac\u03c3\u03c4\u03b5 \u03bc\u03b1\u03b6\u03af score interval, rank interval, paired tests \u03ba\u03b1\u03b9 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2.<\/p>\n<\/aside>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03ba\u03b1\u03b9 \u03ad\u03be\u03c9 \u03b1\u03c0\u03cc \u03c4\u03bf leaderboard. \u038c\u03c4\u03b1\u03bd \u03c0\u03bf\u03bb\u03bb\u03bf\u03af agents \u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c6\u03b1\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03bf\u03bd\u03c4\u03ac, \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03b5\u03c1\u03c4\u03bf\u03bd\u03b9\u03c3\u03c4\u03b5\u03af \u03b7 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03bf\u03b9 failure cases \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03bf domain. \u0391\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1, \u03b7 <a href=\"https:\/\/twodots.gr\/consilience-ai-agent-communication-control\/\">\u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 AI agents<\/a> \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af evidence routing \u03ba\u03b1\u03b9 calibrated uncertainty, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ae \u03c3\u03c5\u03bd\u03b1\u03af\u03bd\u03b5\u03c3\u03b7.<\/p>\n<h2 id=\"posa-dedomena\">\u03a0\u03cc\u03c3\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc benchmark<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 relative-decision generalizability coefficient 0,936 \u03c3\u03c4\u03b9\u03c2 534 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c4\u03b9\u03bc\u03ac 329 \u03b9\u03c3\u03bf\u03c1\u03c1\u03bf\u03c0\u03b7\u03bc\u03ad\u03bd\u03b1 tasks \u03b3\u03b9\u03b1 \u03c3\u03c5\u03bd\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03ae 0,90. \u03a3\u03b5 5.000 score-blind, \u03b9\u03c3\u03bf\u03c1\u03c1\u03bf\u03c0\u03b7\u03bc\u03ad\u03bd\u03b1 \u03c5\u03c0\u03bf\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 270 \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd, \u03b7 \u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b7 rank correlation \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03bb\u03ae\u03c1\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 0,952 \u03ba\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b7 \u03b5\u03c0\u03b9\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03bf\u03c5 top five 80%.<\/p>\n<p>\u03a0\u03b1\u03c1\u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac, \u03bf point leader \u03c4\u03b7\u03c2 \u03c0\u03bb\u03ae\u03c1\u03bf\u03c5\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf 46,1% \u03c4\u03c9\u03bd \u03c5\u03c0\u03bf\u03b4\u03b5\u03b9\u03b3\u03bc\u03ac\u03c4\u03c9\u03bd \u03bc\u03b9\u03c3\u03bf\u03cd \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2. \u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03b5\u03c0\u03c4\u03cc \u03b1\u03bb\u03bb\u03ac \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc: \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03ce\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03c4\u03b7\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03c3\u03c4\u03b7\u03c1\u03af\u03be\u03bf\u03c5\u03bd \u03bc\u03b5 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03c3\u03c4\u03b5\u03bd\u03ae \u03b4\u03b9\u03b1\u03ba\u03ae\u03c1\u03c5\u03be\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1, \u03bb\u03af\u03b3\u03b1 prompts \u03b1\u03c1\u03ba\u03bf\u03cd\u03bd \u03b3\u03b9\u03b1 smoke testing, \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 model selection \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ad\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2, paired comparisons \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 inputs \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u0394\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac, \u03c4\u03bf evaluation \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b7 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03c4\u03b9\u03ba\u03ae \u03b9\u03c3\u03c7\u03cd.<\/p>\n<h2 id=\"metrics-filters-weights\">\u0391\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 metrics, filters \u03ba\u03b1\u03b9 weights<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03bd \u03b1\u03bd \u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03bc\u03b9\u03b1\u03c2 \u03b2\u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae\u03c2. \u038c\u03c4\u03b1\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03c4\u03bf endpoint \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03cc\u03c1\u03b9\u03b6\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c4\u03bf common-core filter, \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03c4\u03bf 71,0% \u03c4\u03c9\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03c9\u03bd tasks. \u0393\u03b9\u03b1 \u03c4\u03b1 \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03b1 26 endpoints, \u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae score \u03b5\u03af\u03bd\u03b1\u03b9 0,65 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03b7 \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03b7 1,37 \u03ba\u03b1\u03b9 \u03b7 rank correlation 0,955.<\/p>\n<p>\u0395\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2 \u2014 chance-adjusted gain, action percentile \u03ba\u03b1\u03b9 exact-optimum rate \u2014 \u03ad\u03c7\u03bf\u03c5\u03bd rank correlation 0,938\u20130,985 \u03bc\u03b5 \u03c4\u03bf primary score \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7\u03c2 \u03b6\u03b5\u03c5\u03b3\u03ce\u03bd \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd 89,2%. \u03a3\u03b5 696 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd\u03c2 \u03bc\u03ad\u03c4\u03c1\u03b9\u03c9\u03bd family weights, \u03b7 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03ad\u03c6\u03c4\u03b5\u03b9 \u03ba\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc 0,980. \u03a0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac, \u03bf point leader \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9.<\/p>\n<p>\u03a3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc pilot, \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 sensitivity checks \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03b1\u03bd \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 KPI, \u03bc\u03b9\u03b1 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 tasks \u03ae \u03ad\u03bd\u03b1 \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03bf weighting. \u0391\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 AI \u03b2\u03ae\u03bc\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7 SQL \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 latency \u03ae \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03c3\u03c4\u03bf <a href=\"https:\/\/twodots.gr\/sage-ai-functions-sql-kostos\/\">SAGE \u03b3\u03b9\u03b1 AI functions \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2<\/a>, \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 failure rate.<\/p>\n<h2 id=\"allagi-reward-map\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf reward map<\/h2>\n<p>\u03a4\u03bf primary Epicure runtime \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b5\u03c3\u03bc\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf \u03bc\u03b5 content hash \u03ba\u03b1\u03b9 \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\u03bb\u03bb\u03ac \u03c4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc training run \u03ba\u03b1\u03b9 seed \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c4\u03bf \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03c5\u03bd \u03c9\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae reference function, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c0\u03b9\u03ba\u03c5\u03c1\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b3\u03b1\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03b1\u03bb\u03ae\u03b8\u03b5\u03b9\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 sensitivity analysis, \u03be\u03b1\u03bd\u03b1\u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 14.418 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03bc\u03b5 \u03c4\u03c1\u03af\u03b1 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 checkpoints: Epicure-Cooc, Core \u03ba\u03b1\u03b9 Chem. \u03a3\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf task, \u03bf\u03b9 \u03c7\u03ac\u03c1\u03c4\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ac: \u03b7 \u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b7 rank correlation \u03b5\u03af\u03bd\u03b1\u03b9 0,660\u20130,752 \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b7 \u03c4\u03c1\u03b9\u03ac\u03b4\u03b1 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf 27,7%\u201338,4% \u03c4\u03c9\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd. \u03a3\u03b5 aggregate \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf, \u03cc\u03bc\u03c9\u03c2, \u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1, \u03bc\u03b5 correlation 0,903\u20130,957.<\/p>\n<p>\u0397 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae Recipe1MSubs \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 checkpoints. \u0391\u03c0\u03cc 10.747 test events \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 3.282 \u03c3\u03c4\u03bf vocabulary \u03c4\u03c9\u03bd 1.790 \u03c5\u03bb\u03b9\u03ba\u03ce\u03bd, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ce\u03bd\u03c4\u03b1\u03c2 1.469 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ac \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7. \u0394\u03b5\u03bd \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03bf\u03b9\u03bd\u03ae \u03ba\u03b1\u03c4\u03b1\u03b3\u03c9\u03b3\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03b1\u03c0\u03cc Recipe1M.<\/p>\n<div class=\"td-decision-band\">\n<div class=\"td-decision-band-content\">\n<p class=\"td-decision-band-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-decision-band-title\">\u03a0\u03b1\u03b3\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf contract \u03c0\u03c1\u03b9\u03bd \u03b4\u03b5\u03af\u03c4\u03b5 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1<\/p>\n<p>\u0394\u03b5\u03c3\u03bc\u03b5\u03cd\u03c3\u03c4\u03b5 task set, scoring logic, parser, model route, failure policy \u03ba\u03b1\u03b9 analysis plan \u03c0\u03c1\u03b9\u03bd \u03c6\u03bf\u03c1\u03c4\u03ce\u03c3\u03b5\u03c4\u03b5 scores. \u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03ba\u03ac\u03b8\u03b5 \u03c6\u03bf\u03c1\u03ac \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03b5\u03c4\u03b5 \u03c0\u03cc\u03c3\u03bf \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf metric \u03ae \u03c4\u03bf reward map.<\/p>\n<\/div>\n<\/div>\n<h2 id=\"post-training-format\">Post-training \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03bc\u03c0\u03b5\u03c1\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf format<\/h2>\n<p>\u03a4\u03bf FlavourBench \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf\u03c5\u03c2 dense maps \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 supervision. \u03a3\u03b5 \u03c0\u03c1\u03bf\u03b5\u03b3\u03b3\u03b5\u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c4\u03c1\u03b9\u03ce\u03bd seeds, \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd LoRA SFT \u03c3\u03b5 pinned Qwen3-0.6B \u03bc\u03b5 270 Epicure-optimal \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, \u03ba\u03c1\u03b1\u03c4\u03bf\u03cd\u03bd 72 validation tasks \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 84 anchor-disjoint maps.<\/p>\n<p>\u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf control \u03ad\u03c7\u03b5\u03b9 \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 prompts, \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ce\u03bd, \u03bc\u03ae\u03ba\u03b7 completions \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae labels, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 task \u03ba\u03b1\u03b9 optimum. \u0388\u03c4\u03c3\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03b7 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf\u03c5 FINAL_SELECTION format \u03b1\u03c0\u03cc \u03c4\u03b7 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 reward function. \u03a3\u03c4\u03b9\u03c2 84 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2, \u03c4\u03bf Epicure SFT \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 44,20 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 30,90 \u03c4\u03bf\u03c5 format control: \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 13,30 \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03bc\u03b5 95% CI 6,52\u201320,29.<\/p>\n<p>\u039a\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf trained arms \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bd parseable \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c3\u03c4\u03bf 100% \u03c4\u03c9\u03bd 84 tasks, \u03b5\u03bd\u03ce \u03c4\u03bf base \u03c3\u03c4\u03bf 89,29%. \u03a3\u03c4\u03b1 534 public maps, \u03b7 treatment-control \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 11,73 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf format control \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c4\u03bf base \u03ba\u03b1\u03c4\u03ac 3,05. \u03a7\u03c9\u03c1\u03af\u03c2 \u03c4\u03bf control, \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03ba\u03ad\u03c1\u03b4\u03bf\u03c5\u03c2 \u03bc\u03bf\u03c1\u03c6\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03b8\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03b1\u03b6\u03cc\u03c4\u03b1\u03bd \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 \u03c9\u03c2 reward learning.<\/p>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 evidence \u03b3\u03b9\u03b1 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7\u03c2 released function \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03b1\u03b8\u03ad\u03b1\u03c4\u03bf\u03c5\u03c2 maps \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b3\u03b5\u03cd\u03c3\u03b7, \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1, reinforcement-learning \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03ae \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03ac\u03bb\u03bb\u03bf domain.<\/p>\n<h2 id=\"epicheirimatiko-framework\">\u0388\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc framework \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 AI<\/h2>\n<p>\u03a4\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03bc\u03bf\u03c4\u03af\u03b2\u03bf \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u03a3\u03b5 e-commerce recommendation, \u03bf\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03b8\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, margin \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ad\u03c2. \u03a3\u03b5 customer support \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd answer classes, escalation rules \u03ba\u03b1\u03b9 forbidden actions. \u03a3\u03b5 workflow automation, \u03c4\u03bf \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ad\u03c2 state \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af \u03c3\u03c4\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03ae \u03c3\u03c4\u03bf ERP.<\/p>\n<p>\u038c\u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03c4\u03b5 programmatic evaluator. \u038c\u03c0\u03bf\u03c5 \u03bf \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03cc\u03c2, \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c3\u03b1\u03c6\u03ad\u03c2 rubric, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf sample \u03ba\u03b1\u03b9 disagreement analysis. \u03a4\u03bf <a href=\"https:\/\/twodots.gr\/techniti-noimosyni-automation-ecommerce-nvh-testing\/\">AI automation \u03c3\u03c4\u03bf e-commerce<\/a> \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2, \u03b5\u03bd\u03ce \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/no-code-ai-ergaleia-rag-agents-workflows\/\">no-code \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03b3\u03b9\u03b1 RAG \u03ba\u03b1\u03b9 agents<\/a> \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf testing, logging \u03ba\u03b1\u03b9 ownership \u03bc\u03b5 \u03ba\u03ac\u03b8\u03b5 production \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03bf business outcome \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf AI, \u03c0\u03bf\u03b9\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ba\u03bf\u03c3\u03c4\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u03a7\u03c4\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc task set<\/strong>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2, \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b1 edge cases \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c1\u03bf\u03ae\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u03a0\u03b1\u03b3\u03ce\u03c3\u03c4\u03b5 scoring \u03ba\u03b1\u03b9 parser<\/strong>\n<p>Version\u03ac\u03c1\u03b5\u03c4\u03b5 rubric, rules engine, schema, failure policy \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 partial credit \u03c0\u03c1\u03b9\u03bd \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b5\u03c4\u03b5 \u03c4\u03b1 endpoints.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 inputs<\/strong>\n<p>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03ba\u03bf\u03b9\u03bd\u03ac tasks, \u03af\u03b4\u03b9\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03b5\u03af\u03c2 routes \u03ce\u03c3\u03c4\u03b5 \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 paired \u03ba\u03b1\u03b9 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b5\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u03a7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03b3\u03ba\u03c5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac task utility, parse failures, refusals, latency, tool errors \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ae \u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03c9\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u0394\u03b5\u03af\u03be\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1<\/strong>\n<p>\u0391\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b5 intervals, paired contrasts \u03ba\u03b1\u03b9 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03c4\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u039a\u03ac\u03bd\u03c4\u03b5 sensitivity \u03ba\u03b1\u03b9 pilot<\/strong>\n<p>\u0391\u03bb\u03bb\u03ac\u03be\u03c4\u03b5 weights, metric \u03ba\u03b1\u03b9 task mix, \u03ad\u03c0\u03b5\u03b9\u03c4\u03b1 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03b5 shadow run \u03bc\u03b5 monitoring \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf fallback.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0393\u03b9\u03b1 knowledge workflows, \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2. \u0388\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 <a href=\"https:\/\/twodots.gr\/generative-question-answering-llm-etairika-eggrafa\/\">Generative QA \u03b3\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1<\/a> \u03b4\u03b5\u03bd \u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c1\u03bf\u03ae \u03c4\u03b7\u03c2 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03cc retrieval, citations, permissions \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf.<\/p>\n<h2 id=\"oria-meletis\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2<\/h2>\n<p>\u03a4\u03bf score \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ac \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b3\u03b5\u03cd\u03c3\u03b7, \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03c4\u03c1\u03bf\u03c6\u03af\u03bc\u03c9\u03bd, \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae\u03c2 \u03ae \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03c3\u03c4\u03b7\u03bd \u03ba\u03bf\u03c5\u03b6\u03af\u03bd\u03b1. \u0397 min\u2013max \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b4\u03b9\u03b5\u03c5\u03ba\u03bf\u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac task, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 raw utility. \u03a4\u03bf primary runtime \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ce\u03b3\u03b9\u03bc\u03bf \u03c9\u03c2 artifact, \u03cc\u03c7\u03b9 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<p>\u0397 Recipe1MSubs validation \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 substitutions \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 checkpoints, \u03cc\u03c7\u03b9 pairing \u03ba\u03b1\u03b9 constraints \u03bf\u03cd\u03c4\u03b5 \u03c4\u03bf\u03bd unrecovered primary runtime. \u0397 common-core \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af differential missingness \u03b1\u03c0\u03cc \u03c4\u03bf leaderboard, \u03b1\u03bb\u03bb\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf estimand \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03c9\u03c3\u03b1\u03bd \u03cc\u03bb\u03b1 \u03c4\u03b1 endpoints.<\/p>\n<p>\u0397 post-training \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03ad\u03bd\u03b1 checkpoint 0,6 \u03b4\u03b9\u03c3. \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03c9\u03bd, LoRA SFT \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 seeds. \u0394\u03b5\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5\u03c2 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7\u03c2 \u03ae \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd, \u03b5\u03bd\u03ce \u03c4\u03bf public-map \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf\u03c5\u03c2 \u03af\u03b4\u03b9\u03bf\u03c5\u03c2 adapters. \u03a4\u03bf paper \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac reconstructable artifacts, \u03b1\u03bb\u03bb\u03ac \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c0\u03c1\u03bf\u03b4\u03b7\u03bc\u03bf\u03c3\u03af\u03b5\u03c5\u03c3\u03b7 v3 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c6\u03b8\u03b5\u03af\u03c3\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2.<\/p>\n<h2 id=\"symperasma\">\u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b3\u03b1\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1<\/h2>\n<p>\u0397 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 FlavourBench \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c4\u03b7\u03c2 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2: versioned environment, \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2, \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03bf scoring \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf inference, \u03ba\u03bf\u03b9\u03bd\u03cc task core, paired uncertainty \u03ba\u03b1\u03b9 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 artifacts. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03bf\u03c4\u03af\u03b2\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bc\u03c0\u03bd\u03b5\u03cd\u03c3\u03b5\u03b9 benchmarks \u03b3\u03b9\u03b1 agents \u03c0\u03bf\u03c5 \u03c7\u03b5\u03b9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b8\u03ad\u03bc\u03b1\u03c4\u03b1, database states, configurations \u03ae \u03c1\u03bf\u03ad\u03c2 \u03bc\u03b5 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae.<\/p>\n<p>\u0394\u03b5\u03bd \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7\u03c2 \u03ba\u03c1\u03af\u03c3\u03b7\u03c2. \u03a4\u03b7\u03bd \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03b5\u03af \u03c3\u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf: \u03bf\u03b9 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03b9 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03bf\u03b9\u03bf reward map \u03b5\u03ba\u03c6\u03c1\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c3\u03c4\u03cc\u03c7\u03bf, \u03c0\u03bf\u03b9\u03bf\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03bf\u03af \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1. \u03a3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1, \u03b7 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c0\u03ae \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b8\u03ad\u03bb\u03bf\u03c5\u03bd \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc demo \u03c3\u03b5 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1, \u03c4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03cc: \u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03c4\u03bf evaluation contract, \u03b4\u03b5\u03af\u03be\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2. \u0397 <a href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03c5\u03c0\u03b7\u03c1\u03b5\u03c3\u03af\u03b1 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03af \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI \u03c4\u03b7\u03c2 TWO DOTS<\/a> \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03bc\u03b5 \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7 \u03c1\u03bf\u03ae\u03c2, tests, approvals, error handling \u03ba\u03b1\u03b9 monitoring.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">AI evaluation \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf production<\/p>\n<p class=\"td-service-cta-title\">\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf workflow \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af tasks, \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, scoring rules, failure cases \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 approvals \u03c0\u03c1\u03b9\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9 AI \u03bc\u03b5 e-shop, CRM, ERP \u03ae customer support.<\/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 \u03c4\u03bf AI workflow \u03c3\u03b1\u03c2<\/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\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FlavourBench;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 benchmark \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af versioned \u03b3\u03b1\u03c3\u03c4\u03c1\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af dense, \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03bf\u03c5\u03c2 \u03c7\u03ac\u03c1\u03c4\u03b5\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 LLM judge.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c3\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 tasks \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 27 endpoints \u03ba\u03b1\u03b9 534 \u03ba\u03bf\u03b9\u03bd\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03b1\u03bd\u03ac endpoint, \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac 14.418 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03ba\u03b1\u03b9 parseable model-task cells.<\/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 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf FlavourBench Score;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03b5\u03c4\u03c1\u03ac \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03bc\u03b9\u03b1\u03c2 \u03c4\u03c1\u03b9\u03ac\u03b4\u03b1\u03c2 \u03c5\u03bb\u03b9\u03ba\u03ce\u03bd \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03bf reward map \u03c4\u03bf\u03c5 Epicure \u03c3\u03b5 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 0\u2013100. \u0394\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ac \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b3\u03b5\u03cd\u03c3\u03b7 \u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b1\u03b3\u03b5\u03b9\u03c1\u03b5\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c6\u03b1\u03b3\u03b7\u03c4\u03bf\u03cd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc\u03c2 \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf Grok 4.6 \u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf point estimate, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 \u03b4\u03b9\u03bf\u03c1\u03b8\u03c9\u03bc\u03ad\u03bd\u03b1 intervals \u03ba\u03b1\u03b9 paired tests \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ac \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf endpoint \u03c3\u03c4\u03b7\u03bd \u03ba\u03bf\u03c1\u03c5\u03c6\u03ae.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c4\u03bf partial credit;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03cd\u03bf \u03bc\u03b7 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c0\u03bf\u03bb\u03cd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1. \u0397 dense \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac, \u03b5\u03bd\u03ce \u03c4\u03bf exact match \u03c4\u03b7 \u03c7\u03ac\u03bd\u03b5\u03b9.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 SFT;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b5 84 anchor-disjoint tasks, \u03c4\u03bf Epicure-optimal LoRA SFT \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03bf score \u03ba\u03b1\u03c4\u03ac 13,30 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 format-matched control, \u03bc\u03b5 \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf 95% CI 6,52\u201320,29.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03b7 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1\u03b9, \u03c9\u03c2 \u03c0\u03c1\u03cc\u03c4\u03c5\u03c0\u03bf \u03cc\u03c4\u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03bf\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03bc\u03c9\u03c2 domain-specific reward map \u03c0\u03bf\u03c5 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03bd\u03b1\u03ba\u03bb\u03ac \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c3\u03c4\u03cc\u03c7\u03bf\u03c5\u03c2, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b5\u03c3\u03bc\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf culinary environment, \u03c3\u03c4\u03b1 endpoints, routes \u03ba\u03b1\u03b9 collection dates. \u0394\u03b5\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 use case \u03ae \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b3\u03b5\u03c5\u03c3\u03c4\u03b9\u03ba\u03ae \u03ba\u03c1\u03af\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20574\" target=\"_blank\" rel=\"noopener\">Chen &amp; Hayretci \u2014 FlavourBench: Executable Culinary Reward Maps for Language Model Evaluation and Post-Training, arXiv v3<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/josefchen\/flavourbench\" target=\"_blank\" rel=\"noopener\">FlavourBench \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf source repository \u03ba\u03b1\u03b9 reconstructable release<\/a><\/li>\n<li><a href=\"https:\/\/huggingface.co\/datasets\/josefchen\/flavourbench\" target=\"_blank\" rel=\"noopener\">FlavourBench \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf dataset \u03c3\u03c4\u03bf Hugging Face<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Artificial Intelligence Risk Management Framework<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf FlavourBench \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03ce\u03c2 dense reward maps, \u03ba\u03bf\u03b9\u03bd\u03ac tasks \u03ba\u03b1\u03b9 uncertainty checks \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03c0\u03b9\u03bf \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7.<\/p>","protected":false},"author":1,"featured_media":97142,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[17818,20226,20225,7477,20227],"class_list":["post-96253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-benchmarks","tag-flavourbench","tag-llm-axiologisi","tag-machine-learning","tag-reward-maps"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/96253","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=96253"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/96253\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/97142"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=96253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=96253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=96253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}