{"id":97806,"date":"2026-09-18T17:14:45","date_gmt":"2026-09-18T14:14:45","guid":{"rendered":"https:\/\/twodots.gr\/?p=97806"},"modified":"2026-09-18T17:14:47","modified_gmt":"2026-09-18T14:14:47","slug":"ai-benchmark-harness-allazei-nikiti","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/ai-benchmark-harness-allazei-nikiti\/","title":{"rendered":"\u0394\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03bf AI benchmark: \u03c0\u03ce\u03c2 \u03c4\u03bf harness \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>Answer first:<\/strong> \u03ad\u03bd\u03b1 AI benchmark \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03bf score \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf evaluation harness \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03b1\u03bd\u03bf\u03b9\u03c7\u03c4\u03ad\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03c4\u03c9\u03bd \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd, \u03c4\u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae \u03c4\u03bf\u03c5 prompt \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03c4\u03c1\u03cc\u03c0\u03bf scoring. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u00abThere Is No Neutral Harness\u00bb, \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 3.679 items \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 weights \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae \u03bc\u03cc\u03bd\u03bf \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ac\u03bb\u03bb\u03b1\u03be\u03b5 \u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7\u03c2.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03c4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03b3\u03bd\u03bf\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b1 leaderboards. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 score \u03c9\u03c2 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03c1\u03c9\u03c4\u03bf\u03ba\u03cc\u03bb\u03bb\u03bf\u03c5, \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b5\u03cd\u03c1\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c3\u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c4\u03b7\u03c2 tasks \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03b9 LLM.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#harness-organo-metrisis\">\u03a4\u03bf harness \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bf\u03c1\u03b3\u03ac\u03bd\u03bf\u03c5 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2<\/a><\/li>\n<li><a href=\"#fragility-grid-arithmoi\">\u0397 fragility grid \u03c3\u03b5 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2<\/a><\/li>\n<li><a href=\"#robust-fragile-items\">Robust, fragile \u03ba\u03b1\u03b9 \u00ab\u03c4\u03c5\u03c7\u03b5\u03c1\u03ad\u03c2\u00bb \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#score-euros\">\u03a4\u03bf score \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03c1\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#geitonika-montela\">\u039f\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03ae\u03c4\u03b1\u03bd \u03b5\u03cd\u03b8\u03c1\u03b1\u03c5\u03c3\u03c4\u03b5\u03c2<\/a><\/li>\n<li><a href=\"#harness-protathlitis\">\u039c\u03b9\u03b1 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae harness \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c0\u03c1\u03c9\u03c4\u03b1\u03b8\u03bb\u03b7\u03c4\u03ae<\/a><\/li>\n<li><a href=\"#scoring-krisimos-axonas\">\u03a4\u03bf scoring \u03ae\u03c4\u03b1\u03bd \u03bf \u03c0\u03b9\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#compression-fragility\">\u0397 \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7 benchmark \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c3\u03c4\u03ac\u03b8\u03b5\u03b9\u03b1<\/a><\/li>\n<li><a href=\"#sovaro-llm-evaluation\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03bf\u03b2\u03b1\u03c1\u03cc LLM evaluation<\/a><\/li>\n<li><a href=\"#periorismoi-meletis\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03c0\u03b5\u03b4\u03af\u03bf \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2<\/a><\/li>\n<li><a href=\"#praktiki-efarmogi\">\u03a0\u03ce\u03c2 \u03bd\u03b1 \u03c4\u03bf \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 e-commerce \u03ae marketing<\/a><\/li>\n<li><a href=\"#sosto-symperasma\">\u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b1 leaderboards<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"harness-organo-metrisis\">\u03a4\u03bf harness \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bf\u03c1\u03b3\u03ac\u03bd\u03bf\u03c5 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2<\/h2>\n<p>\u0388\u03bd\u03b1 benchmark \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7\u03c2. \u039f\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03bc\u03b5 \u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03b1 \u03ae \u03c8\u03b7\u03c6\u03af\u03b1, \u03c3\u03b5 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03ae \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b5\u03bc\u03ad\u03bd\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03ae \u03bc\u03bf\u03c1\u03c6\u03ae \u03c4\u03bf\u03c5 prompt. \u0397 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c7\u03b8\u03b5\u03af \u03c9\u03c2 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03b1\u03c0\u03cc parser \u03ae \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03b5\u03af \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae.<\/p>\n<p>\u039a\u03b1\u03b8\u03b5\u03bc\u03af\u03b1 \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03ad\u03c2 \u03c4\u03b9\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc evaluation code. \u0386\u03c1\u03b1 \u03c4\u03bf harness \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ae \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03b1\u03c3\u03af\u03b1 \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u00ab\u03ba\u03b1\u03b8\u03b1\u03c1\u03ae\u00bb \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u0387 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bf\u03c1\u03b3\u03ac\u03bd\u03bf\u03c5 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b1\u03c0\u03cc \u03ba\u03c1\u03c5\u03c6\u03ae \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03c3\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5 \u03bc\u03ad\u03c7\u03c1\u03b9 \u03c4\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c4\u03bf\u03c5 \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf\u03c5 item.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/every-eval-ever-ai-benchmarks-diafaneia\/\">AI benchmarks \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03c0\u03c1\u03b9\u03bd \u03c4\u03b1 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03b5\u03c5\u03c4\u03bf\u03cd\u03bc\u03b5<\/a>: \u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03bd\u03cc\u03b7\u03bc\u03b1 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 dataset, \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, prompt template, parser, scoring rule \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7\u03c2.<\/p>\n<h2 id=\"fragility-grid-arithmoi\">\u0397 fragility grid \u03c3\u03b5 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2<\/h2>\n<p>\u0397 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b5 12 instruction-tuned open-weight \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b1\u03c0\u03cc \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2, \u03bc\u03b5 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03b1\u03c0\u03cc 3 \u03ad\u03c9\u03c2 70 \u03b4\u03b9\u03c3\u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2. \u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd ARC, HellaSwag, MMLU \u03ba\u03b1\u03b9 TruthfulQA. \u0388\u03c9\u03c2 1.000 items \u03b1\u03bd\u03c4\u03bb\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 benchmark \u03bc\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc seed, \u03b5\u03bd\u03ce \u03c4\u03bf TruthfulQA \u03ad\u03b4\u03c9\u03c3\u03b5 679 items \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03c6\u03b9\u03bb\u03c4\u03c1\u03ac\u03c1\u03b9\u03c3\u03bc\u03b1 \u03c3\u03b5 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2. \u03a4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03ae\u03c4\u03b1\u03bd 3.679 items \u03b1\u03bd\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<p>\u039f\u03b9 26 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03bf\u03ad\u03ba\u03c5\u03c8\u03b1\u03bd \u03b1\u03c0\u03cc \u03ad\u03be\u03b9 \u03c3\u03b5\u03b9\u03c1\u03ad\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd, \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 generation prompt formats \u03ba\u03b1\u03b9 \u03b4\u03cd\u03bf likelihood cloze formats. \u039f\u03b9 24 generation \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc\u03c2 \u03c4\u03b5\u03c3\u03c3\u03ac\u03c1\u03c9\u03bd templates \u03bc\u03b5 \u03ad\u03be\u03b9 orderings. \u039f\u03b9 \u03b4\u03cd\u03bf likelihood \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac. Items, weights \u03ba\u03b1\u03b9 greedy decoding \u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac, \u03bc\u03b5 temperature \u03bc\u03b7\u03b4\u03ad\u03bd.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u0397 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7\u03c2 fragility grid<\/p>\n<p class=\"td-chart-subtitle\">\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7\u03c2 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac benchmarks \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 LLM \u03ae \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc task.<\/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\">12<\/span><span class=\"td-metric-label\">open-weight instruction-tuned \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">3.679<\/span><span class=\"td-metric-label\">\u03ba\u03bf\u03b9\u03bd\u03ac items \u03b1\u03bd\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">26<\/span><span class=\"td-metric-label\">\u03c5\u03c0\u03b5\u03c1\u03b1\u03c3\u03c0\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2 harness<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">95,7%<\/span><span class=\"td-metric-label\">\u03bc\u03ad\u03c3\u03bf \u03bc\u03b5\u03c1\u03af\u03b4\u03b9\u03bf \u03c4\u03bf\u03c5 gap \u03c3\u03b5 fragile items<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ae\u03c4\u03b1\u03bd matched: \u03b4\u03b5\u03bd \u03ac\u03bb\u03bb\u03b1\u03be\u03b5 checkpoint, \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03ae sampling draw. \u0397 \u03b1\u03c0\u03bf\u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03ae\u03c4\u03b1\u03bd zero-shot \u03ba\u03b1\u03b9 greedy. \u0388\u03c4\u03c3\u03b9, \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 item \u03ac\u03bb\u03bb\u03b1\u03b6\u03b5 \u03b1\u03c0\u03cc \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c2, \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03b8\u03b5\u03af \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 harness \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ae \u03c3\u03b5 \u03c3\u03c4\u03bf\u03c7\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<h2 id=\"robust-fragile-items\">Robust, fragile \u03ba\u03b1\u03b9 \u00ab\u03c4\u03c5\u03c7\u03b5\u03c1\u03ad\u03c2\u00bb \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u0388\u03bd\u03b1 item \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 robust-correct \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03bf \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03c3\u03c9\u03c3\u03c4\u03ac \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 26 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2, robust-wrong \u03cc\u03c4\u03b1\u03bd \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c3\u03b5 \u03cc\u03bb\u03b5\u03c2 \u03ba\u03b1\u03b9 config-fragile \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9. \u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2: \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf item \u03b4\u03b5\u03bd \u03c3\u03c5\u03b3\u03c7\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03ad\u03bd\u03b1 item \u03c0\u03bf\u03c5 \u03c4\u03bf harness \u03ba\u03ac\u03bd\u03b5\u03b9 \u03bd\u03b1 \u03c4\u03b1\u03bb\u03b1\u03bd\u03c4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9.<\/p>\n<p>\u0391\u03c0\u03cc \u03b5\u03b4\u03ce \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc score. \u0397 robust accuracy \u03bc\u03b5\u03c4\u03c1\u03ac \u03cc\u03c3\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd, \u03b7 reference accuracy \u03cc\u03c3\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03ba\u03b1\u03b9 \u03b7 optimistic accuracy \u03cc\u03c3\u03b1 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03ad\u03c3\u03c4\u03c9 \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac. \u0397 config-lucky fraction \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03cc\u03c3\u03b5\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03b9\u03c3\u03c4\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03c9\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c3\u03c4\u03b7 reference \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b3\u03af\u03bd\u03bf\u03c5\u03bd \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b7 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7.<\/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\">Option order<\/p>\n<p>\u0391\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c4\u03b5\u03c3\u03c3\u03ac\u03c1\u03c9\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd. \u03a3\u03c4\u03bf\u03bd \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf \u03ac\u03be\u03bf\u03bd\u03b1 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03bd\u03b5 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf robust \u03c4\u03bf 60% \u03c4\u03b7\u03c2 reference accuracy.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">6 \u03c3\u03b5\u03b9\u03c1\u03ad\u03c2<\/span><span class=\"td-badge\">60% robust<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Prompt format<\/p>\n<p>\u0391\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03ae \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7: \u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03b1, \u03c0\u03b1\u03c1\u03b5\u03bd\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2, \u03c8\u03b7\u03c6\u03af\u03b1 \u03ae \u03c1\u03b7\u03c4\u03ae \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03b3\u03b9\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03b5 \u03b3\u03c1\u03ac\u03bc\u03bc\u03b1. \u03a0\u03b1\u03c1\u03ad\u03bc\u03b5\u03bd\u03b5 robust \u03c4\u03bf 40%.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">4 formats<\/span><span class=\"td-badge\">40% robust<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Scoring method<\/p>\n<p>Generation \u03bc\u03b5 parser \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 length-normalized likelihood \u03b1\u03bd\u03ac \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae. \u0389\u03c4\u03b1\u03bd \u03bf \u03b2\u03b1\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2, \u03bc\u03b5 \u03bc\u03cc\u03bb\u03b9\u03c2 31% robust accuracy \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">2 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9<\/span><span class=\"td-badge\">31% robust<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"score-euros\">\u03a4\u03bf score \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03c1\u03bf\u03c2<\/h2>\n<p>\u0397 \u03c0\u03b9\u03bf \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf gemma4-31b: reference accuracy 88,0%, \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf 30,6% \u03ba\u03b1\u03b9 \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03bf 88,6%. \u03a4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03c4\u03c9\u03bd 58 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03c9\u03bd \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03ae\u03bb\u03b8\u03b5 \u03b1\u03c0\u03cc \u03ac\u03bb\u03bb\u03bf checkpoint \u03ae \u03ac\u03bb\u03bb\u03b5\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2. \u03a0\u03c1\u03bf\u03ae\u03bb\u03b8\u03b5 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf harness. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03c5\u03bd\u03bf\u03c8\u03af\u03b6\u03b5\u03b9 \u03b5\u03cd\u03c3\u03c4\u03bf\u03c7\u03b1 \u03c4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1: \u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 band \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf.<\/p>\n<p>\u039a\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf, \u03c4\u03bf 85% \u03c4\u03c9\u03bd reference-correct \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03b1\u03c0\u03cc \u03ba\u03ac\u03c0\u03bf\u03b9\u03b1 \u03ac\u03bb\u03bb\u03b7 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7. \u03a0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b1, \u03b7 robust accuracy \u03b4\u03b5\u03bd \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03c4\u03bf 21,5% \u03b3\u03b9\u03b1 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03b9 \u03ae\u03c4\u03b1\u03bd \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc 7% \u03b3\u03b9\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5. \u0391\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 grid \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03bf\u03cd\u03bd \u03c3\u03b5 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 benchmark.<\/p>\n<aside class=\"td-article-note\"><strong>\u03a4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 confidence interval:<\/strong> \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b9\u03c2 26 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03c9\u03c4\u03bf\u03ba\u03cc\u03bb\u03bb\u03bf\u03c5, \u03cc\u03c7\u03b9 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 sampling.<\/aside>\n<p>\u0397 \u03b1\u03c3\u03c4\u03ac\u03b8\u03b5\u03b9\u03b1 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03c3\u03b5 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c3\u03c4\u03bf leaderboard. \u03a4\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf spread \u03b1\u03bd\u03ae\u03ba\u03b5 \u03c3\u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b7\u03c2 reference \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7\u03c2, \u03b5\u03bd\u03ce \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 spreads \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b8\u03ad\u03c3\u03b5\u03b9\u03c2. \u0397 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1 \u03c3\u03c4\u03bf harness \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03cd\u03bc\u03c0\u03c4\u03c9\u03bc\u03b1 \u03b1\u03c3\u03b8\u03b5\u03bd\u03bf\u03cd\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<h2 id=\"geitonika-montela\">\u039f\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03ae\u03c4\u03b1\u03bd \u03b5\u03cd\u03b8\u03c1\u03b1\u03c5\u03c3\u03c4\u03b5\u03c2<\/h2>\n<p>\u039f \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03b1\u03c2 \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03bf gap \u03ba\u03ac\u03b8\u03b5 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03b6\u03b5\u03cd\u03b3\u03bf\u03c5\u03c2 \u03c3\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03ba\u03b1\u03b9 \u03b5\u03cd\u03b8\u03c1\u03b1\u03c5\u03c3\u03c4\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2. \u03a3\u03c4\u03b1 items \u03c0\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b1\u03c0\u03b1\u03bd\u03c4\u03bf\u03cd\u03c3\u03b1\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac, \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03ad\u03bd\u03c4\u03b5\u03ba\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03b5\u03af\u03c7\u03b1\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b4\u03b9\u03ad\u03c6\u03b5\u03c1\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 \u03ad\u03bd\u03b1 item \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03b1 \u03b5\u03af\u03c7\u03b1\u03bd \u03b4\u03b9\u03b1\u03c6\u03c9\u03bd\u03af\u03b5\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03b7\u03b4\u03b5\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03bd.<\/p>\n<p>\u0394\u03ad\u03ba\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03b5\u03af\u03c7\u03b1\u03bd \u03bc\u03b7 \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03cc gap \u03c3\u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03ad\u03ba\u03b1 \u03ae\u03c4\u03b1\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03bc\u03ad\u03bd\u03b1 \u03c3\u03c4\u03bf jointly robust subset. \u039a\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf, \u03c4\u03bf 95,7% \u03c4\u03bf\u03c5 gap \u03b1\u03c0\u03bf\u03b4\u03cc\u03b8\u03b7\u03ba\u03b5 \u03c3\u03b5 config-fragile items. \u039c\u03b5 pooling \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd items \u03c4\u03bf \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf 99,7%, \u03cc\u03bc\u03c9\u03c2 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03bf \u03c3\u03c5\u03bd\u03c4\u03b7\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf 95,7%.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd \u03af\u03c3\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03b4\u03b5\u03bd \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 items \u03cc\u03c0\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac. \u0397 \u03af\u03b4\u03b9\u03b1 \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 benchmark \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03bf approval gate \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/multi-llm-agents-diakyvernisi-metra-perissotero-apo-prompt\/\">multi-LLM \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf prompt<\/a>.<\/p>\n<h2 id=\"harness-protathlitis\">\u039c\u03b9\u03b1 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae harness \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c0\u03c1\u03c9\u03c4\u03b1\u03b8\u03bb\u03b7\u03c4\u03ae<\/h2>\n<p>\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 12 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b1\u03bd \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c3\u03b5 \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd \u03bc\u03af\u03b1 \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03bf\u03ba\u03c4\u03ce \u03bc\u03c0\u03ae\u03ba\u03b1\u03bd \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03c4\u03c1\u03b9\u03ac\u03b4\u03b1. \u03a4\u03bf gemma4-31b \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 16 configurations \u03ba\u03b1\u03b9 \u03c4\u03bf qwen3-14b \u03bf\u03ba\u03c4\u03ce. \u039f\u03b9 \u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b5\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03ae\u03c4\u03b1\u03bd \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 181,5 \u03ba\u03b1\u03b9 98,5 items \u03c3\u03c4\u03b1 3.679, \u03ac\u03c1\u03b1 \u03b1\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03bd\u03af\u03ba\u03b5\u03c2 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b9\u03c3\u03bf\u03c0\u03b1\u03bb\u03af\u03b5\u03c2 \u03c3\u03c4\u03c1\u03bf\u03b3\u03b3\u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a4\u03b1 \u03ac\u03bb\u03bb\u03b1 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b2\u03b3\u03ae\u03ba\u03b1\u03bd \u03c0\u03c1\u03ce\u03c4\u03b1 \u03bc\u03cc\u03bd\u03bf \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac: \u03c4\u03bf llama3.3-70b \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03bd\u03cc\u03c2 item \u03ba\u03b1\u03b9 \u03c4\u03bf mixtral-8x7b \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03c1\u03b9\u03ce\u03bd. \u03a4\u03bf mixtral \u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd 11\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03b7\u03c2 reference \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7\u03c2 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b7 \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u00ab\u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c0\u03c1\u03c9\u03c4\u03b1\u03b8\u03bb\u03b7\u03c4\u03ad\u03c2\u00bb \u03bd\u03b1 \u03bc\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03cc claim.<\/p>\n<aside class=\"td-article-note\"><strong>\u039f champion count \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac:<\/strong> \u03cc\u03c4\u03b1\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf TruthfulQA, \u03bf\u03b9 \u03c0\u03c1\u03c9\u03c4\u03b1\u03b8\u03bb\u03b7\u03c4\u03ad\u03c2 \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03b1\u03c0\u03cc \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c3\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2. \u03a4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 24 generation \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2 \u03bc\u03bf\u03b9\u03c1\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03ba\u03b1\u03b8\u03b1\u03c1\u03bf\u03cd\u03c2 \u03bd\u03b9\u03ba\u03b7\u03c4\u03ad\u03c2, \u03cc\u03c7\u03b9 \u03cc\u03c4\u03b9 \u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 benchmark mix.<\/aside>\n<h2 id=\"scoring-krisimos-axonas\">\u03a4\u03bf scoring \u03ae\u03c4\u03b1\u03bd \u03bf \u03c0\u03b9\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2<\/h2>\n<p>\u038c\u03c4\u03b1\u03bd \u03ba\u03ac\u03b8\u03b5 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03b1\u03bb\u03bb\u03cc\u03c4\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf\u03c2 \u03c4\u03bf\u03c5, \u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03c4\u03bf 60% \u03c4\u03b7\u03c2 \u03c0\u03b9\u03c3\u03c4\u03c9\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2. \u03a4\u03bf prompt format \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03c3\u03b5 \u03c4\u03bf 40% \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae generation \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 likelihood \u03bc\u03cc\u03bb\u03b9\u03c2 \u03c4\u03bf 31%. \u039c\u03b5 \u03cc\u03bb\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03ac\u03be\u03bf\u03bd\u03b5\u03c2 \u03bc\u03b1\u03b6\u03af \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03bd\u03b5 11%. \u03a4\u03bf scoring \u03ae\u03c4\u03b1\u03bd \u03bf \u03c0\u03b9\u03bf \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03c1\u03bf\u03c6\u03b9\u03ba\u03cc\u03c2 \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2 \u03b3\u03b9\u03b1 \u03b5\u03bd\u03bd\u03ad\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 12 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1.<\/p>\n<p>\u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac generation-likelihood \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf surface-form competition. \u03a3\u03c4\u03b7 likelihood \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae, \u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae\u03c2 \u03bc\u03bf\u03c1\u03c6\u03ae\u03c2 \u03bc\u03b9\u03b1\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ae\u03c2 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2. \u03a3\u03c4\u03b7 generation \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae, \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 parser \u03ba\u03b1\u03b9 \u03b7 \u03c0\u03b9\u03c3\u03c4\u03ae \u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 format \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 score.<\/p>\n<p>\u039a\u03b1\u03b9 \u03bf\u03b9 \u03b4\u03cd\u03bf \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b1\u03c3\u03c0\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 \u03bb\u03cd\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03b5\u03af \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03b8\u03b5\u03af \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03b5\u03af \u03b7 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1. \u0397 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 template \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd <a href=\"https:\/\/twodots.gr\/asfaleia-llm-meta-to-fine-tuning-prompt-template-ropd\/\">\u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 LLM \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf fine-tuning<\/a>, \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf prompt format \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac.<\/p>\n<h2 id=\"compression-fragility\">\u0397 \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7 benchmark \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c3\u03c4\u03ac\u03b8\u03b5\u03b9\u03b1<\/h2>\n<p>\u039f\u03b9 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 benchmark compression \u03ba\u03c1\u03b1\u03c4\u03bf\u03cd\u03bd \u03c3\u03c5\u03c7\u03bd\u03ac items \u03bc\u03b5 \u03c5\u03c8\u03b7\u03bb\u03ae discrimination, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03c5\u03c4\u03ac \u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b1\u03c3\u03b8\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b2\u03c1\u03ae\u03ba\u03b5 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 0,28 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd discrimination \u03ba\u03b1\u03b9 fragility, \u03bc\u03b5 95% \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 0,25 \u03ad\u03c9\u03c2 0,30. \u03a4\u03b1 \u03c0\u03b9\u03bf discriminative items \u03ae\u03c4\u03b1\u03bd fragile \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03b3\u03b9\u03b1 \u03c4\u03bf 96% \u03c4\u03c9\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 85% \u03c3\u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 benchmark.<\/p>\n<p>\u03a3\u03b5 subsets \u03c4\u03c9\u03bd 100 items, \u03c4\u03bf \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ce\u03bd champions \u03ae\u03c4\u03b1\u03bd \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf 5,1 \u03b3\u03b9\u03b1 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03ba\u03b1\u03b9 5,7 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b2\u03ac\u03c3\u03b5\u03b9 discrimination, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03b5\u03c3\u03c3\u03ac\u03c1\u03c9\u03bd \u03c3\u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 benchmark. \u039f \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03b1\u03c2 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf claim \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac fragility, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf champion count, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03c0\u03b5\u03c1\u03b9\u03ba\u03bf\u03c0\u03ae \u03c3\u03b5 100 items \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b9\u03c3\u03bf\u03c0\u03b1\u03bb\u03af\u03b5\u03c2.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b7 \u03c7\u03b1\u03b8\u03b5\u03af: \u03c3\u03c4\u03bf cutoff \u03c4\u03bf\u03c5 top-100, 102 items \u03b5\u03af\u03c7\u03b1\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 discrimination \u03c4\u03b9\u03bc\u03ae \u03ba\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf 64 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b1\u03bd \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bf\u03cd\u03bd. \u0397 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 subset \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc tie-break. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af seeded tie-breaks \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b5\u03cd\u03c1\u03bf\u03c2, \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03c3\u03b5\u03b9 \u03bc\u03af\u03b1 \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03c9\u03c2 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03b1\u03bb\u03ae\u03b8\u03b5\u03b9\u03b1.<\/p>\n<h2 id=\"sovaro-llm-evaluation\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03bf\u03b2\u03b1\u03c1\u03cc LLM evaluation<\/h2>\n<p>\u03a4\u03bf paper \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf score \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 band \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 robust accuracy. \u039f\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 items \u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03b4\u03cd\u03bf. \u03a4\u03bf harness \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2, \u03bc\u03b5 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03c4\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf scoring, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03c7\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7. \u039a\u03ac\u03b8\u03b5 compressed benchmark \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf configuration stability \u03c0\u03c1\u03b9\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03c9\u03c2 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03c4\u03cc\u03bc\u03b5\u03c5\u03c3\u03b7.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">Decision gate \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae LLM<\/p>\n<p class=\"td-decision-title\">\u039c\u03b7\u03bd \u03b5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf rank \u03ae \u03ad\u03bd\u03b1 \u03bc\u03cc\u03bd\u03bf harness<\/p>\n<p>\u03a0\u03c1\u03bf\u03c7\u03c9\u03c1\u03ae\u03c3\u03c4\u03b5 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf version \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03bf business test set, \u03bc\u03b5 \u03ba\u03b1\u03c4\u03b1\u03b3\u03b5\u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03bd\u03b1 prompt templates, parser \u03ba\u03b1\u03b9 scoring, \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03c5\u03c0\u03b5\u03c1\u03b1\u03c3\u03c0\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2. \u0391\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae\u03c2, \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b5 \u03c4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac tasks \u03c0\u03c1\u03bf\u03ba\u03b1\u03bb\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae.<\/p>\n<\/div>\n<p>\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9 model revision, tokenizer, inference engine, decoding settings, seed \u03cc\u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7, missing \u03ae unparseable outputs \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 aggregation. \u03a3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ac \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u00ab\u03c0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03ad\u03c3\u03bf score;\u00bb \u03b1\u03bb\u03bb\u03ac \u00ab\u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 \u03ba\u03bf\u03c3\u03c4\u03af\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c3\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 harness;\u00bb.<\/p>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 risk management \u03ba\u03b1\u03b9 monitoring, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03c1\u03bf\u03bc\u03b7\u03b8\u03b5\u03c5\u03c4\u03ae. \u03a4\u03bf <a href=\"https:\/\/twodots.gr\/k-bench-ai-agents-epistimoniki-akriveia-artifacts\/\">K-Bench \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03ba\u03b1\u03bb\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 agent \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c4\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5 artifact<\/a>. \u0391\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1, \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03cc score \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow.<\/p>\n<h2 id=\"periorismoi-meletis\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03c0\u03b5\u03b4\u03af\u03bf \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2<\/h2>\n<p>\u03a4\u03b1 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 multiple-choice benchmarks, 12 open-weight instruction-tuned \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 3 \u03ad\u03c9\u03c2 70 \u03b4\u03b9\u03c3\u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03c5\u03c1\u03af\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03c9\u03bd. \u0394\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd proprietary frontier models, open-ended generation, coding \u03ae agentic tasks. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03af\u03b4\u03b9\u03b5\u03c2 \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b4\u03c1\u03ac\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03bc\u03b5\u03c4\u03ac\u03b2\u03bb\u03b7\u03c4\u03b5\u03c2 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc use case.<\/p>\n<p>\u03a5\u03c0\u03ae\u03c1\u03c7\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc artifact \u03c3\u03c4\u03bf TruthfulQA. \u03a3\u03c4\u03b1 679 items \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac. \u0397 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 benchmark \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ac claims \u03ba\u03b1\u03b9 \u03b5\u03bd\u03af\u03c3\u03c7\u03c5\u03c3\u03b5 \u03b4\u03cd\u03bf, \u03b1\u03bb\u03bb\u03ac \u03bc\u03b5\u03af\u03c9\u03c3\u03b5 \u03c4\u03bf\u03c5\u03c2 champions \u03b1\u03c0\u03cc \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c3\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03b1\u03be\u03b5 \u03c4\u03bf \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf Kendall correlation \u03b1\u03c0\u03cc \u22120,09 \u03c3\u03b5 +0,03.<\/p>\n<p>\u03a4\u03bf jointly robust subset \u03ae\u03c4\u03b1\u03bd \u03bc\u03b9\u03ba\u03c1\u03cc, \u03b1\u03c0\u03cc 72 \u03ad\u03c9\u03c2 336 items \u03b1\u03bd\u03ac \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03cc \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2. \u0397 bootstrap interval \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03ae \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b9\u03c3\u03bf\u03c0\u03b1\u03bb\u03af\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b1\u03bd \u03bc\u03af\u03b1 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03b4\u03b9\u03b1\u03c6\u03c9\u03bd\u03af\u03b1\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03cc count. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf claim \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2 \u03b4\u03b9\u03b1\u03c6\u03c9\u03bd\u03b9\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b1 \u03af\u03c3\u03b1.<\/p>\n<h2 id=\"praktiki-efarmogi\">\u03a0\u03ce\u03c2 \u03bd\u03b1 \u03c4\u03bf \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 e-commerce \u03ae marketing<\/h2>\n<p>\u0391\u03bd \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03b8\u03bf\u03cd\u03bd \u03b3\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03c9\u03bd, customer support, \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b1\u03b9\u03c4\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03ba\u03b1\u03bc\u03c0\u03b1\u03bd\u03b9\u03ce\u03bd, \u03c4\u03bf test set \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03cc \u03ba\u03b1\u03b9 \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03bf. \u03a3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03b8\u03bf\u03cd\u03bd \u03bc\u03cc\u03bd\u03bf \u03bc\u03af\u03b1-\u03bc\u03af\u03b1 \u03bf\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c4\u03bf\u03c5 production harness: system prompt, labels, format \u03b5\u03be\u03cc\u03b4\u03bf\u03c5, parser \u03ba\u03b1\u03b9 \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 scoring. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b5\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03b1\u03bb\u03bb\u03ac \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 tasks \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae.<\/p>\n<p>\u0391\u03bd \u03c4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc task \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03bf\u03b9\u03ba\u03c4\u03bf\u03cd \u03c4\u03cd\u03c0\u03bf\u03c5, \u03b7 fragility grid \u03c4\u03bf\u03c5 paper \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03b1. \u0397 \u03b1\u03c1\u03c7\u03ae \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c9\u03c2 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03ad\u03bc\u03c0\u03bd\u03b5\u03c5\u03c3\u03b7: versioned rubrics, \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c4\u03c5\u03c0\u03ce\u03c3\u03b5\u03b9\u03c2, \u03c3\u03b1\u03c6\u03ae\u03c2 parser policy, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf review \u03c3\u03b5 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1, cost-weighted metrics \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u03a4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">behavioral tests \u03b3\u03b9\u03b1 AI agents<\/a> \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03bf\u03cd answer.<\/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\u03bf\u03c5 \u03b1\u03bd\u03c4\u03ad\u03c7\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae harness<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u03a0\u03b1\u03b3\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc test set<\/strong>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03ac, \u03b1\u03c0\u03bf\u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 tasks \u03bc\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ad\u03c2 expected outcomes \u03ba\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03c1\u03af\u03c3\u03ba\u03bf\u03c5.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 model \u03ba\u03b1\u03b9 inference version<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 checkpoint, provider revision, tokenizer, engine, decoding \u03ba\u03b1\u03b9 \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b1 \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae harness \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03bc\u03cc\u03bd\u03b7 \u03b5\u03bd\u03b5\u03c1\u03b3\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c5\u03c0\u03b5\u03c1\u03b1\u03c3\u03c0\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2<\/strong>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c4\u03b1 prompt formats, labels, \u03c3\u03b5\u03b9\u03c1\u03ac \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd, structured output \u03ba\u03b1\u03b9 scoring rules \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b1\u03bd \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b9 \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03bf\u03cd\u03bd \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b5\u03cd\u03c1\u03bf\u03c2 \u03ba\u03b1\u03b9 flips \u03b1\u03bd\u03ac task<\/strong>\n<p>\u039c\u03b7\u03bd \u03ba\u03c1\u03b1\u03c4\u03ac\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf. \u0392\u03c1\u03b5\u03af\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 tickets, \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1 \u03ae intents \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c3\u03c9\u03c3\u03c4\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ae \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 parser \u03ba\u03b1\u03b9 unparseable outputs<\/strong>\n<p>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b3\u03bd\u03ce\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 format \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03ce\u03c2 \u03ba\u03ac\u03b8\u03b5 parser \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf output \u03c3\u03b5 score.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u03a3\u03c4\u03b1\u03b8\u03bc\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2<\/strong>\n<p>\u0394\u03ce\u03c3\u03c4\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ad\u03c2, \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c5\u03c0\u03bf\u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2, privacy failures \u03ae \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 support cases \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae accuracy.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u0395\u03c0\u03b1\u03bd\u03b1\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae<\/strong>\n<p>\u039d\u03ad\u03bf model version, prompt, parser \u03ae knowledge base \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af regression run, \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf band \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2 rollback criterion.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c5\u03c4\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u00ab\u03c4\u03ad\u03bb\u03b5\u03b9\u03bf\u00bb score. \u0395\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03bc\u03b5 audit trail: \u03c0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03c0\u03b9\u03bb\u03ad\u03c7\u03b8\u03b7\u03ba\u03b5, \u03c3\u03b5 \u03c0\u03bf\u03b9\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03c9\u03bd \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc, \u03c3\u03b5 \u03c0\u03bf\u03b9\u03b1 tasks \u03ae\u03c4\u03b1\u03bd \u03b5\u03cd\u03b8\u03c1\u03b1\u03c5\u03c3\u03c4\u03bf \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03cc\u03c2.<\/p>\n<h2 id=\"sosto-symperasma\">\u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b1 leaderboards<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03b6\u03b7\u03c4\u03ac \u03bd\u03b1 \u03b5\u03b3\u03ba\u03b1\u03c4\u03b1\u03bb\u03b5\u03af\u03c8\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b1 benchmarks. \u0396\u03b7\u03c4\u03ac \u03bd\u03b1 \u03c0\u03ac\u03c8\u03bf\u03c5\u03bc\u03b5 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc score \u03c9\u03c2 \u03b5\u03b3\u03b3\u03b5\u03bd\u03ae \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5. \u038c\u03c4\u03b1\u03bd \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c4\u03bf\u03c5 harness \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03bf\u03cd\u03bd \u03c4\u03cc\u03c3\u03bf \u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7, \u03c4\u03bf leaderboard \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1, \u03c4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd items.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c4\u03bf\u03bd \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03bf \u03bc\u03b9\u03b1\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7\u03c2, \u03b7 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03ce\u03c4\u03bf;\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u00ab\u03c3\u03b5 \u03c0\u03bf\u03b9\u03b5\u03c2 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cc, \u03c0\u03bf\u03b9\u03b1 tasks \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c3\u03bf \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5 evaluation;\u00bb. \u03a4\u03bf harness \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03bf\u03c3\u03b7\u03bc\u03b5\u03af\u03c9\u03c3\u03b7. \u0395\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2.<\/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\u03bf leaderboard \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow<\/p>\n<p class=\"td-service-cta-title\">\u0391\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03c4\u03b5 AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03b5 \u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 tasks \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf harness<\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 business-specific test sets, versioned prompts, parser checks, approval gates \u03ba\u03b1\u03b9 monitoring \u03ce\u03c3\u03c4\u03b5 \u03b7 \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\u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd workflow \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03bf rank.<\/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 evaluation<\/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 evaluation harness;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bf \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf task \u03c3\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2, \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bd \u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03c4\u03bf output \u03c3\u03b5 score.<\/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 items \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0394\u03ce\u03b4\u03b5\u03ba\u03b1 open-weight instruction-tuned \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b1\u03bd \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 3.679 items \u03b1\u03c0\u03cc ARC, HellaSwag, MMLU \u03ba\u03b1\u03b9 TruthfulQA.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c3\u03b5\u03c2 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2 harness \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd 26 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd\u03c2 option order, prompt format \u03ba\u03b1\u03b9 scoring method, \u03bc\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac items, weights \u03ba\u03b1\u03b9 greedy decoding.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf score range;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf gemma4-31b \u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 30,6% \u03ad\u03c9\u03c2 88,6%, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae spread 58 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03c9\u03bd \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd, \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c3\u03c4\u03b1 weights \u03ae \u03c3\u03c4\u03b1 items.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2 \u03b5\u03c0\u03b7\u03c1\u03ad\u03b1\u03b6\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae generation \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 likelihood scoring. \u03a3\u03c4\u03bf\u03bd \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c4\u03bf\u03c5 \u03ac\u03be\u03bf\u03bd\u03b1 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03bd\u03b5 robust \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf 31% \u03c4\u03b7\u03c2 reference accuracy.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039b\u03ad\u03b5\u03b9 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03cc\u03c4\u03b9 \u03cc\u03bb\u03b1 \u03c4\u03b1 LLM \u03b5\u03af\u03bd\u03b1\u03b9 \u03af\u03b4\u03b9\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0394\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03c1\u03b7\u03c4\u03ac \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03af\u03c3\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bf\u03cd\u03c4\u03b5 \u03b1\u03c0\u03bf\u03c5\u03c3\u03af\u03b1 \u03c3\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03c4\u03b1 benchmarks. \u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03ba\u03b1\u03bb\u03ac \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03c3\u03c4\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac items.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0399\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 agentic \u03ae coding tasks;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0394\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03b7 \u03bf\u03c0\u03bf\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 four-option multiple-choice benchmarks. \u0397 \u03af\u03b4\u03b9\u03b1 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bc\u03c0\u03bd\u03b5\u03cd\u03c3\u03b5\u03b9 \u03bd\u03ad\u03b1 tests, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03b1 \u03c4\u03b1 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 benchmark;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a0\u03bb\u03ae\u03c1\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae harness \u03ba\u03b1\u03b9 scoring, score bands, robust-item \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7, \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae unparseable outputs \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc use case \u03bc\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/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\/2608.21382\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 There Is No Neutral Harness: Modern LLM Leaderboards Are Manufactured by Config-Fragile Items<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/NikolaTesla-007\/fragility-grid\" target=\"_blank\" rel=\"noopener\">Fragility Grid \u2014 per-item records, analysis \u03ba\u03b1\u03b9 reproducibility code<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/EleutherAI\/lm-evaluation-harness\" target=\"_blank\" rel=\"noopener\">EleutherAI \u2014 Language Model Evaluation Harness<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI Risk Management Framework<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u039d\u03ad\u03b1 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 26 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 evaluation harnesses \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd \u03b4\u03c1\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b1 scores \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae \u03b5\u03bd\u03cc\u03c2 LLM leaderboard. \u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>","protected":false},"author":1,"featured_media":98396,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[17818,9260,20617,19403,7477],"class_list":["post-97806","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-benchmarks","tag-ai-governance","tag-leaderboards","tag-llm-evaluation","tag-machine-learning"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97806","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=97806"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97806\/revisions"}],"predecessor-version":[{"id":98397,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97806\/revisions\/98397"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/98396"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=97806"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=97806"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=97806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}