{"id":88870,"date":"2026-08-14T16:46:13","date_gmt":"2026-08-14T13:46:13","guid":{"rendered":"https:\/\/twodots.gr\/?p=88870"},"modified":"2026-08-14T16:46:09","modified_gmt":"2026-08-14T13:46:09","slug":"exeidikevmenoi-ai-agents-chrimatooikonomika-decomposition-rl","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/exeidikevmenoi-ai-agents-chrimatooikonomika-decomposition-rl\/","title":{"rendered":"\u0395\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03b9 AI agents \u03c3\u03c4\u03b1 \u03c7\u03c1\u03b7\u03bc\u03b1\u03c4\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ac: \u03c0\u03cc\u03c4\u03b5 \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf decomposition \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c4\u03bf RL"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf benchmark, \u03bf\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03b9 AI agents \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b1\u03bd \u03c4\u03bf aggregate \u03c4\u03c9\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ce\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ce\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd \u03b1\u03c0\u03cc 78,9% \u03c3\u03b5 94,7%, \u03b1\u03bb\u03bb\u03ac \u03ac\u03c6\u03b7\u03c3\u03b1\u03bd \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03c3\u03c4\u03bf 47,4%. \u03a4\u03bf GRPO post-training \u03b5\u03bd\u03cc\u03c2 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5 Qwen3.5-9B \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf bottleneck: \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf\u03b9 agents\u00bb, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac \u03c4\u03cd\u03c0\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2.<\/strong><\/p>\n<p>\u0397 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 Larix \u03ba\u03c1\u03b1\u03c4\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, evidence, task instructions, JSON schema \u03ba\u03b1\u03b9 deterministic scorer. \u0388\u03c4\u03c3\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf design principle \u03b3\u03b9\u03b1 \u03c7\u03c1\u03b7\u03bc\u03b1\u03c4\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 business automation, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03af\u03b4\u03b9\u03b1 \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1 \u03ae \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b5\u03c2 \u03b5\u03c0\u03b5\u03bd\u03b4\u03c5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#giati-evropaiki-akiniti-periousia-dyskolo-test\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03b5\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03ae \u03b1\u03ba\u03af\u03bd\u03b7\u03c4\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c5\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03c4\u03b5\u03c3\u03c4 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 LLM<\/a><\/li>\n<li><a href=\"#larix-lens-aligned-specialists\">\u03a4\u03bf Larix \u03b4\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ad\u03c2 \u00ab\u03c0\u03b5\u03c1\u03c3\u03cc\u03bd\u03b5\u03c2\u00bb<\/a><\/li>\n<li><a href=\"#arithmitikes-ergasies-kai-krisi\">\u0391\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ba\u03c1\u03af\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#pos-apomonothike-specialist-prompting\">\u03a0\u03ce\u03c2 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 specialist prompting<\/a><\/li>\n<li><a href=\"#decomposition-arithmoi-krisi\">\u03a4\u03bf decomposition \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2, \u03cc\u03c7\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#perissotero-framework-ochi-kalyteri-apantisi\">\u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf framework \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#grpo-mikrotero-montelo\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 GRPO \u03c3\u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf<\/a><\/li>\n<li><a href=\"#post-training-veltiose-krisi\">\u03a4\u03bf post-training \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c0\u03bf\u03c5 \u03c4\u03bf prompt \u03b4\u03b5\u03bd \u03ad\u03bb\u03c5\u03c3\u03b5<\/a><\/li>\n<li><a href=\"#metafora-agnostes-etaireies-regimes\">\u0397 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 regimes<\/a><\/li>\n<li><a href=\"#marketing-ecommerce-ai-operations\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 marketing, e-commerce \u03ba\u03b1\u03b9 AI operations<\/a><\/li>\n<li><a href=\"#praktiko-montelo-schediasmou-elegchou\">\u0388\u03bd\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5<\/a><\/li>\n<li><a href=\"#periorismoi-meletis\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b2\u03ac\u03b6\u03bf\u03c5\u03bd \u03cc\u03c1\u03b9\u03b1 \u03c3\u03c4\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03ac\u03c3\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#ousiastiko-design-principle\">\u03a4\u03bf \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc design principle<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"giati-evropaiki-akiniti-periousia-dyskolo-test\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03b5\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03ae \u03b1\u03ba\u03af\u03bd\u03b7\u03c4\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c5\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03c4\u03b5\u03c3\u03c4 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 LLM<\/h2>\n<p>\u039f\u03b9 \u03b5\u03b9\u03c3\u03b7\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2 \u03b1\u03ba\u03b9\u03bd\u03ae\u03c4\u03c9\u03bd \u03c3\u03c4\u03b7\u03bd \u0395\u03c5\u03c1\u03ce\u03c0\u03b7 \u03b4\u03b5\u03bd \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03b9\u03b1 \u03b3\u03b1\u03bb\u03bb\u03b9\u03ba\u03ae SIIC \u03ad\u03c7\u03b5\u03b9 \u03bd\u03bf\u03bc\u03bf\u03b8\u03b5\u03c4\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c5\u03c0\u03bf\u03c7\u03c1\u03b5\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b9\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf\u03c5 \u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5 \u03b5\u03b9\u03c3\u03bf\u03b4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03b5\u03bd\u03ce \u03b7 Aroundtown, \u03bc\u03b5 \u03ad\u03b4\u03c1\u03b1 \u03c4\u03bf \u039b\u03bf\u03c5\u03be\u03b5\u03bc\u03b2\u03bf\u03cd\u03c1\u03b3\u03bf \u03ba\u03b1\u03b9 \u03b1\u03ba\u03af\u03bd\u03b7\u03c4\u03b1 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03c4\u03b7 \u0393\u03b5\u03c1\u03bc\u03b1\u03bd\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u039f\u03bb\u03bb\u03b1\u03bd\u03b4\u03af\u03b1, \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b7 \u03c5\u03c0\u03bf\u03c7\u03c1\u03ad\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03ba\u03b1\u03c4\u03ad\u03b2\u03b1\u03bb\u03b5 \u03bc\u03ad\u03c1\u03b9\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03cc \u03ad\u03c4\u03bf\u03c2 2024. \u0391\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf \u03bc\u03ad\u03c4\u03c1\u03bf \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7\u03c2 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 EPRA Earnings, FFO I \u03ba\u03b1\u03b9 \u03ba\u03ad\u03c1\u03b4\u03b7 \u03b1\u03bd\u03ac \u03bc\u03b5\u03c4\u03bf\u03c7\u03ae \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03bd\u03b1\u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c3\u03c5\u03c7\u03bd\u03ac \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b7\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c4\u03bf\u03c5 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03cd: \u03c0\u03bf\u03b9\u03bf \u03bd\u03bf\u03bc\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 reporting regime \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1. \u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c3\u03c9\u03c3\u03c4\u03cc \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03ad\u03ba\u03b8\u03b5\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03b5\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1. \u0397 \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03b5\u03c5\u03c7\u03ad\u03c1\u03b5\u03b9\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bd\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc. \u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b1\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03c5\u03c0\u03b5\u03bd\u03b8\u03cd\u03bc\u03b9\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1\u03c2. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 \u03b9\u03c7\u03bd\u03b7\u03bb\u03ac\u03c3\u03b9\u03bc\u03b7 evidence \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/best-kag-protypa-ktirion-ixnilasimi-gnosi-ai\/\">\u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2, \u03c0\u03b7\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 AI<\/a>.<\/p>\n<h2 id=\"larix-lens-aligned-specialists\">\u03a4\u03bf Larix \u03b4\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ad\u03c2 \u00ab\u03c0\u03b5\u03c1\u03c3\u03cc\u03bd\u03b5\u03c2\u00bb<\/h2>\n<p>\u03a4\u03bf Larix \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 16 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c6\u03b1\u03ba\u03bf\u03cd\u03c2 \u03c3\u03b5 \u03bf\u03ba\u03c4\u03ce \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2: financials, asset quality, management, valuation, macro overlay, catalyst, bear \u03ba\u03b1\u03b9 screen sourcing. \u039f\u03b9 \u03c1\u03cc\u03bb\u03bf\u03b9 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03ae\u03c1\u03b1. \u039a\u03ac\u03b8\u03b5 \u03c6\u03b1\u03ba\u03cc\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03bf\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03cc \u03ae inference operation. \u0388\u03bd\u03b1\u03c2 deterministic router \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 task \u03c3\u03c4\u03bf\u03bd specialist \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf \u03c6\u03b1\u03ba\u03cc.<\/p>\n<p>\u03a4\u03bf benchmark \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03bf\u03ba\u03c4\u03ce specialists. \u039f financials agent \u03c7\u03b5\u03b9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5 \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf\u03c5 metric, \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 payout regime. \u039f asset-quality agent \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 implied cap rate. \u039f macro-overlay agent \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af covenant stress. \u039a\u03ac\u03b8\u03b5 item \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af \u03ad\u03bd\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf specialist, \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03bc\u03b7\u03bd\u03c5\u03bc\u03ac\u03c4\u03c9\u03bd \u03bc\u03b5\u03c4\u03b1\u03be\u03cd agents. \u039f downstream synthesizer, \u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 conviction \u03ba\u03b1\u03b9 \u03c4\u03bf position sizing \u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b5\u03ba\u03c4\u03cc\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2. \u0386\u03c1\u03b1 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b8\u03b5\u03c3\u03b7 \u03c3\u03c4\u03b5\u03bd\u03ac \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03c9\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd, \u03cc\u03c7\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03bc\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7 \u03b5\u03c0\u03b5\u03bd\u03b4\u03c5\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03b5\u03be\u03b5\u03b9\u03b4\u03af\u03ba\u03b5\u03c5\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03c7\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9<\/p>\n<div class=\"td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--four\">\n<div class=\"td-platform-card\">\n<h3>Task taxonomy<\/h3>\n<p>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 localized \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03b1\u03c0\u03cc integrative judgment \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03b5\u03af agent, prompt \u03ae training strategy.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Prompt scope<\/h3>\n<p>\u039f specialist \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5\u03c2 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 analytical lenses, \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf framework \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf context.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Routing<\/h3>\n<p>Deterministic \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 task \u03c3\u03c4\u03bf\u03bd \u03ba\u03ac\u03c4\u03bf\u03c7\u03bf \u03c4\u03bf\u03c5 \u03c3\u03c9\u03c3\u03c4\u03bf\u03cd lens \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 evidence \u03ae scorer.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Parameter adaptation<\/h3>\n<p>\u03a4\u03bf GRPO \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03bc\u03b5 task-aligned reward \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03bd\u03b1\u03b4\u03b9\u03ac\u03c4\u03b1\u03be\u03b7 prompt \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b3\u03b9\u03b1 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"arithmitikes-ergasies-kai-krisi\">\u0391\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ba\u03c1\u03af\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1<\/h2>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03c4\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2. \u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c9\u03c3\u03c4\u03bf\u03cd \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03bf\u03cd metric, \u03c4\u03bf\u03bd \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03cc implied cap rate \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03be\u03b1\u03b3\u03c9\u03b3\u03ae payout regime \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03bd\u03bf\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03bf\u03bc\u03b9\u03ba\u03bf\u03cd\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ad\u03c2, \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03cd\u03c3\u03b9\u03bc\u03b5\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b5\u03c2 \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 outputs.<\/p>\n<p>\u039f\u03b9 judgment tasks \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03c0\u03b5\u03b4\u03af\u03c9\u03bd \u03ae disclosures: \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03cc \u03c4\u03b7\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ae\u03c2 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 covenant \u03bc\u03b5 \u03c4\u03cd\u03c0\u03bf, \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1, \u03cc\u03c1\u03b9\u03bf \u03ba\u03b1\u03b9 breach status. \u0391\u03c5\u03c4\u03cc\u03c2 \u03bf \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c7\u03c1\u03b7\u03bc\u03b1\u03c4\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ac. \u03a3\u03b5 \u03ad\u03bd\u03b1 e-commerce workflow, \u03b7 \u03b5\u03be\u03b1\u03b3\u03c9\u03b3\u03ae \u03c4\u03b9\u03bc\u03ae\u03c2 \u03ae SKU \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 localized task, \u03b5\u03bd\u03ce \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03bd \u03ad\u03bd\u03b1 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03b5\u03af \u03b1\u03c0\u03cc \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b1 \u03bb\u03cc\u03b3\u03c9 \u03c0\u03b5\u03c1\u03b9\u03b8\u03c9\u03c1\u03af\u03bf\u03c5, stock, \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03bc\u03ce\u03bd \u03ba\u03b1\u03b9 brand policy \u03b5\u03af\u03bd\u03b1\u03b9 integrative judgment. \u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b2\u03bf\u03b7\u03b8\u03ac \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03b8\u03b5\u03af \u03c3\u03c9\u03c3\u03c4\u03ac <a href=\"https:\/\/twodots.gr\/ai-agents-poios-ftaiei-otan-aftomatopoiisi-apotygchanei\/\">\u03c0\u03bf\u03cd \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03c2 AI agent \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7<\/a>.<\/p>\n<h2 id=\"pos-apomonothike-specialist-prompting\">\u03a0\u03ce\u03c2 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 specialist prompting<\/h2>\n<p>\u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac 19 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac wrappers \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 95 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd\u03c2 task \u03ba\u03b1\u03b9 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1\u03c2 \u03b1\u03bd\u03ac condition. \u03a4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 evaluation universe \u03ad\u03c7\u03b5\u03b9 25 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03ba\u03c4\u03ce wrappers, \u03bc\u03b5 \u03ad\u03be\u03b9 \u03b5\u03bb\u03b2\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2 \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b1\u03bd\u03b1\u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2. \u03a3\u03c4\u03b7 frontier \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 Claude Opus 4.8 \u03c3\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2: \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc monolithic prompt, monolithic prompt \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf 16-lens framework \u03ba\u03b1\u03b9 task-specific specialist prompt.<\/p>\n<p>\u039a\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03af\u03b4\u03b9\u03b1 \u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 evidence, \u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7, \u03c4\u03bf schema, \u03c4\u03bf \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03bf scorer. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf JSON. \u03a4\u03b1 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ac \u03c0\u03b5\u03b4\u03af\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03bd\u03bf\u03c7\u03ad\u03c2, \u03b5\u03bd\u03ce \u03bf\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 exact matching \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc normalization. \u0394\u03b5\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 LLM judge. \u0391\u03c5\u03c4\u03cc \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1 \u03c3\u03cd\u03b3\u03c7\u03c5\u03c3\u03b7\u03c2: \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c4\u03b9\u03bc\u03ac \u03c0\u03b9\u03bf \u03ba\u03b1\u03bb\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c3\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<h2 id=\"decomposition-arithmoi-krisi\">\u03a4\u03bf decomposition \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2, \u03cc\u03c7\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7<\/h2>\n<p>\u03a3\u03c4\u03bf primary benchmark, \u03c4\u03bf specialist decomposition \u03b1\u03cd\u03be\u03b7\u03c3\u03b5 \u03c4\u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc aggregate \u03b1\u03c0\u03cc 78,9% \u03c3\u03b5 94,7%, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03ba\u03b1\u03c4\u03ac 15,8 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u0397 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03ae\u03c4\u03b1\u03bd 26,3 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5 regime-specific metric \u03ba\u03b1\u03b9 21,1 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c4\u03bf implied cap rate, \u03b5\u03bd\u03ce \u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 payout regime \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03c3\u03c4\u03bf 100% \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2. \u0397 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03ae\u03c4\u03b1\u03bd \u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 frozen-template dispatches, \u03b1\u03bd \u03ba\u03b1\u03b9 \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03cc\u03c2 \u03c4\u03b7\u03c2 \u03ba\u03c5\u03bc\u03ac\u03bd\u03b8\u03b7\u03ba\u03b5.<\/p>\n<p>\u03a3\u03c4\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ba\u03c1\u03af\u03c3\u03b7\u03c2, \u03b7 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03ad\u03b4\u03c9\u03c3\u03b5 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 47,4% \u03c4\u03cc\u03c3\u03bf \u03c3\u03c4\u03bf monolithic \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf specialist condition. \u0397 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2 \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 5,2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03b5\u03bd\u03ce \u03c4\u03bf covenant stress \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 5,3. \u03a3\u03c4\u03b9\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2 \u03b7 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03ba\u03c1\u03af\u03c3\u03b7 \u03ba\u03c5\u03bc\u03ac\u03bd\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03bc\u03b7\u03b4\u03ad\u03bd \u03ad\u03c9\u03c2 10,5 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u03a3\u03c5\u03bd\u03b5\u03c0\u03ce\u03c2, \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 specialists \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03bf\u03c5\u03bd \u03c0\u03ac\u03bd\u03c4\u03b1 \u03c3\u03c4\u03b7\u03bd \u03ba\u03c1\u03af\u03c3\u03b7. \u03a5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03c5\u03bd \u03c3\u03c4\u03b9\u03c2 \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b5\u03c2.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<p class=\"td-chart-title\">\u03a4\u03b9 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03bf\u03c1\u03c6\u03ae \u03b5\u03be\u03b5\u03b9\u03b4\u03af\u03ba\u03b5\u03c5\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 aggregates \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 benchmark \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd splits. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03ac\u03bb\u03bb\u03bf \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03cc \u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc workflow.<\/p>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">+15,8 \u03bc.<\/div>\n<div class=\"td-metric-label\">Numerical decomposition<\/div>\n<p>\u03a4\u03bf Claude-Spec \u03b1\u03cd\u03be\u03b7\u03c3\u03b5 \u03c4\u03bf numerical aggregate \u03b1\u03c0\u03cc 78,9% \u03c3\u03b5 94,7% \u03c3\u03c4\u03b7\u03bd \u03ba\u03cd\u03c1\u03b9\u03b1 same-model \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">0,0 \u03bc.<\/div>\n<div class=\"td-metric-label\">Judgment decomposition<\/div>\n<p>\u03a4\u03bf judgment aggregate \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03c3\u03c4\u03bf 47,4% \u03c4\u03cc\u03c3\u03bf \u03c3\u03c4\u03bf monolithic \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf specialist condition \u03c4\u03b7\u03c2 \u03ba\u03cd\u03c1\u03b9\u03b1\u03c2 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">+14,2 \u03bc.<\/div>\n<div class=\"td-metric-label\">Judgment \u03bc\u03b5 GRPO<\/div>\n<p>\u03a3\u03c4\u03bf development split \u03c4\u03bf\u03c5 Qwen3.5-9B, \u03c4\u03bf judgment aggregate \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 58,6% \u03c3\u03b5 72,8%.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">+40,4 \u03bc.<\/div>\n<div class=\"td-metric-label\">Covenant stress transfer<\/div>\n<p>\u0397 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 held-out \u03ac\u03bd\u03bf\u03b4\u03bf\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2, \u03b1\u03c0\u03cc 38,1% \u03c3\u03b5 78,5%.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"perissotero-framework-ochi-kalyteri-apantisi\">\u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf framework \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/h2>\n<p>\u039f \u03c0\u03b9\u03bf \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03c5\u03c0\u03c4\u03b9\u03ba\u03cc\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf Claude-Full: \u03ad\u03bd\u03b1\u03c2 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc\u03c2 agent \u03ad\u03bb\u03b1\u03b2\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf framework \u03c4\u03c9\u03bd 16 \u03c6\u03b1\u03ba\u03ce\u03bd, \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 4.800 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03ae\u03c1\u03b5\u03c2 \u03bc\u03b5 \u03bf\u03bd\u03cc\u03bc\u03b1\u03c4\u03b1, \u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 metrics \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2. \u0391\u03bd \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c0\u03c1\u03bf\u03b5\u03c1\u03c7\u03cc\u03c4\u03b1\u03bd \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b1\u03c0\u03cc \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 domain \u03b3\u03bd\u03ce\u03c3\u03b7 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf prompt, \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf condition \u03b8\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c4\u03c9\u03bd specialists.<\/p>\n<p>\u0394\u03b5\u03bd \u03c4\u03bf \u03ad\u03ba\u03b1\u03bd\u03b5. \u03a3\u03c4\u03bf overall score \u03c4\u03bf Claude-Full \u03b9\u03c3\u03bf\u03c6\u03ac\u03c1\u03b9\u03c3\u03b5 \u03c4\u03bf \u03b1\u03c0\u03bb\u03cc monolith \u03c3\u03c4\u03bf 66,3%. \u03a3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae metric \u03bc\u03ac\u03bb\u03b9\u03c3\u03c4\u03b1 \u03c5\u03c0\u03bf\u03c7\u03ce\u03c1\u03b7\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac 10,5 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03b5\u03bd\u03ce \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac 10,5 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03ad\u03bd\u03b1 judgment task. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03bf\u03c5\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c9\u03c2 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf scoped lens ownership, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03b7 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd \u03c5\u03c0\u03bf\u03c3\u03c5\u03bd\u03cc\u03bb\u03bf\u03c5 \u03bf\u03b4\u03b7\u03b3\u03b9\u03ce\u03bd, \u03b2\u03bf\u03b7\u03b8\u03ac \u03c4\u03b7 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7. \u0391\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03cc\u03bc\u03c9\u03c2 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03c4\u03bf routing, \u03c4\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2 prompt \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 specialist.<\/p>\n<h2 id=\"grpo-mikrotero-montelo\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 GRPO \u03c3\u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf<\/h2>\n<p>\u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03b5\u03af\u03b4\u03bf\u03c2 \u03b5\u03be\u03b5\u03b9\u03b4\u03af\u03ba\u03b5\u03c5\u03c3\u03b7\u03c2: \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03c9\u03bd \u03b5\u03bd\u03cc\u03c2 Qwen3.5-9B \u03bc\u03ad\u03c3\u03c9 Group Relative Policy Optimization. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03bf\u03c0\u03ac\u03c4\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 <a href=\"https:\/\/twodots.gr\/twil-lm-mikra-montela-typikis-logikis-topika\/\">\u03bc\u03b9\u03ba\u03c1\u03ce\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ce\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03bc\u03b5 \u03c4\u03c5\u03c0\u03b9\u03ba\u03bf\u03cd\u03c2, \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03cd\u03c3\u03b9\u03bc\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2<\/a>, \u03b1\u03bb\u03bb\u03ac \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c3\u03b1\u03c6\u03ad\u03c2 output contract. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf JSON \u03ba\u03b1\u03b9 \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c9\u03c2 reward \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf deterministic task score \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7. \u0394\u03b5\u03bd \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b5\u03c5\u03c6\u03c1\u03ac\u03b4\u03b5\u03b9\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03c0\u03b5\u03b4\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03ba\u03ac\u03b8\u03b5 task.<\/p>\n<p>\u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 LoRA rank 32, \u03c4\u03bf framework veRL, vLLM rollouts \u03ba\u03b1\u03b9 \u03bc\u03af\u03b1 H100 GPU. \u03a4\u03bf corpus \u03b5\u03af\u03c7\u03b5 195 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 rows \u03b1\u03c0\u03cc \u03c4\u03bf benchmark \u03ba\u03b1\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 training-only counterfactual \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b8\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd covenant breach. \u039c\u03b5\u03c4\u03ac \u03c4\u03bf\u03c5\u03c2 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2, 70 rows \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03b3\u03b9\u03b1 training \u03ba\u03b1\u03b9 25 \u03b3\u03b9\u03b1 development. \u03a4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc \u03c0\u03bb\u03ac\u03bd\u03bf \u03ae\u03c4\u03b1\u03bd 90 updates, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03c3\u03c4\u03b1\u03bc\u03ac\u03c4\u03b7\u03c3\u03b5 \u03c3\u03c4\u03b1 30 \u03b3\u03b9\u03b1 \u03bb\u03cc\u03b3\u03bf\u03c5\u03c2 budget. \u0391\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf checkpoint \u03c4\u03bf\u03c5 \u03b2\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 20, \u03c4\u03bf \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03bf \u03c0\u03bf\u03c5 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 storage \u03c4\u03bf\u03c5 training pod.<\/p>\n<h2 id=\"post-training-veltiose-krisi\">\u03a4\u03bf post-training \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c0\u03bf\u03c5 \u03c4\u03bf prompt \u03b4\u03b5\u03bd \u03ad\u03bb\u03c5\u03c3\u03b5<\/h2>\n<p>\u03a3\u03c4\u03bf development split, \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score \u03c4\u03bf\u03c5 Qwen3.5-9B \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 72,2% \u03c3\u03b5 84,2%, \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 12 \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd. \u03a4\u03bf judgment aggregate \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 58,6% \u03c3\u03b5 72,8%, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03ba\u03b1\u03c4\u03ac 14,2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u0397 T1 \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03c3\u03c4\u03bf ceiling \u03c4\u03bf\u03c5 99,5%, \u03b5\u03bd\u03ce \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b2\u03c1\u03af\u03c3\u03ba\u03bf\u03bd\u03c4\u03b1\u03bd \u03ba\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc \u03c4\u03bf ceiling. \u0397 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b5\u03ba\u03b5\u03af \u03ae\u03c4\u03b1\u03bd 18,9 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c4\u03bf implied cap rate, \u03b5\u03bd\u03ce \u03b7 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf covenant stress \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b1\u03bd 13,3 \u03ba\u03b1\u03b9 15 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd \u03bc\u03b9\u03b1 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b5\u03c5\u03ba\u03c1\u03af\u03bd\u03b9\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd T3: \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03bf\u03c6\u03b5\u03af\u03bb\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 zero-shot baseline \u03c0\u03bf\u03c5 \u03c0\u03b9\u03ad\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc sampling \u03c3\u03b5 temperature 0,7. \u039c\u03b5 greedy decoding \u03c4\u03bf zero-shot \u03ae\u03c4\u03b1\u03bd \u03ae\u03b4\u03b7 98,7% \u03ba\u03b1\u03b9 \u03c4\u03bf post-trained \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03bf \u03b9\u03c3\u03bf\u03c6\u03ac\u03c1\u03b9\u03c3\u03b5. \u0391\u03ba\u03cc\u03bc\u03b7 \u03cc\u03bc\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf greedy protocol, \u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 7,5 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf RL \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c4\u03b9 \u03ac\u03bb\u03bb\u03b1\u03be\u03b5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b1\u03c0\u03bb\u03ae \u03b1\u03bd\u03b1\u03b4\u03b9\u03ac\u03c4\u03b1\u03be\u03b7 prompt \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03bf\u03cd\u03c3\u03b5.<\/p>\n<div class=\"td-article-note\"><strong>\u039c\u03b7\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03b1\u03bd\u03cc\u03bc\u03bf\u03b9\u03b1 conditions.<\/strong> \u0397 frontier \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af Claude-Mono \u03ba\u03b1\u03b9 Claude-Spec \u03c3\u03b5 cohort 19 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03b9\u03ce\u03bd, \u03b5\u03bd\u03ce \u03c4\u03bf Qwen \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ac zero-shot \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 GRPO \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf 9B \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac splits. \u03a4\u03bf paper \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf post-trained Qwen \u03be\u03b5\u03c0\u03b5\u03c1\u03bd\u03ac \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac \u03ad\u03bd\u03b1 frontier \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/div>\n<h2 id=\"metafora-agnostes-etaireies-regimes\">\u0397 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 regimes<\/h2>\n<p>\u0393\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03bc\u03bd\u03b7\u03bc\u03cc\u03bd\u03b5\u03c5\u03c3\u03b7, \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03c4\u03c1\u03af\u03b1 held-out splits. \u03a3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ac wrappers, \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 67,4% \u03c3\u03b5 82,6%, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae 15,2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u03a3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b1 regulatory wrappers \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 4,3 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03b5\u03c4\u03b1\u03b3\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03cc\u03b4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03c4\u03ac 2,5. \u0397 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b7 \u03ac\u03bd\u03bf\u03b4\u03bf\u03c2 \u03ae\u03c4\u03b1\u03bd \u03c3\u03c4\u03bf covenant stress \u03b3\u03b9\u03b1 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2: \u03b1\u03c0\u03cc 38,1% \u03c3\u03b5 78,5%, \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 40,4 \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd.<\/p>\n<p>\u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03bf\u03bc\u03bf\u03b9\u03cc\u03bc\u03bf\u03c1\u03c6\u03b1. \u03a3\u03c4\u03bf covenant stress \u03b3\u03b9\u03b1 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b1 wrappers \u03b4\u03b5\u03bd \u03c5\u03c0\u03ae\u03c1\u03be\u03b5 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7, \u03b5\u03bd\u03ce \u03c4\u03bf payout regime \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf floor \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03b1 \u03b4\u03cd\u03bf checkpoints. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b9 \u03bf \u03bc\u03b9\u03ba\u03c1\u03cc\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 scored generations \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03ba\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03b5\u03c0\u03c4\u03ac \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf directional \u03c0\u03b1\u03c1\u03ac \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2. \u0391\u03c5\u03c4\u03ae \u03b7 \u03b5\u03b9\u03bb\u03b9\u03ba\u03c1\u03af\u03bd\u03b5\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7: \u03ad\u03bd\u03b1 \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc aggregate \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c5\u03c0\u03bf\u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03b7. \u03a3\u03b5 \u03ba\u03ac\u03b8\u03b5 <a href=\"https:\/\/twodots.gr\/cgmas-ai-agents-prosomioseis-polymeron\/\">\u03c0\u03bf\u03bb\u03c5-agent workflow \u03bc\u03b5 validators \u03ba\u03b1\u03b9 checkpoints<\/a>, \u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b1\u03bd\u03ac task \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf.<\/p>\n<h2 id=\"marketing-ecommerce-ai-operations\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 marketing, e-commerce \u03ba\u03b1\u03b9 AI operations<\/h2>\n<p>\u0397 \u03c0\u03c1\u03bf\u03c3\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1 \u03c4\u03c9\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd. \u0393\u03b9\u03b1 extraction, normalization, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03bc\u03b5 \u03b3\u03bd\u03c9\u03c3\u03c4\u03bf\u03cd\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 outputs \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03bf\u03cd\u03bd \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1, \u03ad\u03bd\u03b1\u03c2 specialist \u03bc\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf context \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc schema \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf. \u0393\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ad\u03c2, \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2, \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03be\u03b1\u03c1\u03c4\u03ce\u03bc\u03b5\u03bd\u03b1 \u03c0\u03b5\u03b4\u03af\u03b1, \u03b7 \u03b4\u03b9\u03ac\u03c3\u03c0\u03b1\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9 \u03c4\u03bf context \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03ac\u03b4\u03b5\u03b9\u03b1 \u03b3\u03b9\u03b1 \u03ac\u03bc\u03b5\u03c3\u03bf RL \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03af\u03c7\u03b5 deterministic ground truth, \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf reward \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03b5\u03af\u03c2 tasks. \u03a0\u03c1\u03b9\u03bd \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 marketing \u03ae e-commerce \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9 post-training, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 versioned rubric, \u03c1\u03b7\u03c4\u03ac output fields, \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac examples \u03ba\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac held-out sets. \u0397 \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ae \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03b5\u03af \u03bc\u03b5 \u03c4\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 AI \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/spark-techniti-noimosyni-xerei-apantisi-den-energopoiei-sosti-skepsi\/\">\u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf\u03bd \u03c3\u03c9\u03c3\u03c4\u03cc \u03c4\u03c1\u03cc\u03c0\u03bf \u03c3\u03ba\u03ad\u03c8\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf task<\/a> \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b5\u03cd\u03b3\u03bb\u03c9\u03c4\u03c4\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0391\u03bd \u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03c1\u03af\u03c3\u03b5\u03b9 \u03bc\u03b5 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03c4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u00ab\u03c3\u03c9\u03c3\u03c4\u03ae\u00bb \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7, \u03c4\u03bf reward \u03ba\u03b9\u03bd\u03b4\u03c5\u03bd\u03b5\u03cd\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03b1\u03c3\u03ac\u03c6\u03b5\u03b9\u03b1 \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03b3\u03bd\u03ce\u03c3\u03b7.<\/p>\n<div class=\"td-decision-band\">\n<p><strong>\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2:<\/strong> \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 specialist decomposition \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf task \u03ad\u03c7\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf evidence, \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc output \u03ba\u03b1\u03b9 deterministic validation. \u0394\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03c4\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc context \u03ae explicit synthesis \u03b3\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03bd\u03ce\u03bd\u03bf\u03c5\u03bd \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2, \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2. \u0395\u03be\u03b5\u03c4\u03ac\u03c3\u03c4\u03b5 post-training \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 versioned rubric, \u03b1\u03c1\u03ba\u03b5\u03c4\u03cc ground truth, held-out \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 rollback.<\/p>\n<\/div>\n<h2 id=\"praktiko-montelo-schediasmou-elegchou\">\u0388\u03bd\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5<\/h2>\n<p>\u03a0\u03c1\u03ce\u03c4\u03b1 \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c9\u03c2 localized operation \u03ae integrative judgment. \u039c\u03b5\u03c4\u03ac \u03cc\u03c1\u03b9\u03c3\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03bf agent, \u03c0\u03bf\u03b9\u03b1 \u03c0\u03b5\u03b4\u03af\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03b8\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b5\u03b4\u03af\u03bf. \u03a3\u03c4\u03b9\u03c2 localized \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03b4\u03bf\u03ba\u03af\u03bc\u03b1\u03c3\u03b5 monolith \u03ba\u03b1\u03b9 specialist \u03bc\u03b5 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03af\u03b4\u03b9\u03b1 evidence \u03ba\u03b1\u03b9 scorer. \u03a3\u03c4\u03b9\u03c2 \u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2, \u03ad\u03bb\u03b5\u03b3\u03be\u03b5 \u03b1\u03bd \u03c4\u03bf specialist \u03c7\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03b1\u03c0\u03cc \u03ac\u03bb\u03bb\u03bf\u03c5\u03c2 \u03c6\u03b1\u03ba\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 explicit synthesis stage.<\/p>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bd\u03ac task \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score. \u039a\u03c1\u03ac\u03c4\u03b7\u03c3\u03b5 frozen prompts, \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 dispatches, company \u03ae customer-level grouping \u03ba\u03b1\u03b9 tests \u03c3\u03b5 \u03bd\u03ad\u03b5\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03cc\u03b4\u03bf\u03c5\u03c2. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b9 prompt, schema \u03ba\u03b1\u03b9 scorer \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03bf\u03cd\u03bd \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 \u03c0\u03b5\u03b4\u03af\u03b1. \u03a3\u03b5 \u03c0\u03b1\u03bb\u03b1\u03b9\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 harness, \u03b7 \u03b1\u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03b1\u03c5\u03c4\u03ce\u03bd \u03c4\u03c9\u03bd \u03c0\u03b5\u03b4\u03af\u03c9\u03bd \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03c3\u03b5 \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u00abby construction\u00bb \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bb\u03cc\u03b3\u03c9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b1\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0388\u03be\u03b9 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 evidence-controlled pilot AI agents<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u03a7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 operations \u03ba\u03b1\u03b9 judgments<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 tasks \u03b5\u03af\u03bd\u03b1\u03b9 extraction, normalization \u03ae \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ce\u03bd, \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd disclosures.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u03a0\u03b1\u03b3\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf evidence contract<\/strong>\n<p>\u0394\u03ce\u03c3\u03c4\u03b5 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 condition \u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf, \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7\u03c2 \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b5\u03c5\u03bd\u03bf\u03b5\u03af \u03ba\u03c1\u03c5\u03c6\u03ac \u03bc\u03af\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u0395\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03af\u03c3\u03c4\u03b5 prompt, schema \u03ba\u03b1\u03b9 scorer<\/strong>\n<p>\u039a\u03ac\u03b8\u03b5 \u03c0\u03b5\u03b4\u03af\u03bf \u03c0\u03bf\u03c5 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03c1\u03b7\u03c4\u03ac \u03ba\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf output \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 documented normalization, tolerance \u03ae exact rule.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 monolith \u03ba\u03b1\u03b9 specialist<\/strong>\n<p>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03b9 generation settings, \u03ba\u03ac\u03bd\u03c4\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac frozen dispatches \u03ba\u03b1\u03b9 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03bd\u03ac task, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c9\u03c2 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac<\/strong>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 held-out \u03c0\u03b5\u03bb\u03ac\u03c4\u03b5\u03c2, \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2, regimes \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03cc\u03b4\u03bf\u03c5\u03c2 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03c4\u03b5 \u03b1\u03c0\u03bf\u03bc\u03bd\u03b7\u03bc\u03cc\u03bd\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf floor.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03ba\u03b1\u03b9 rollback<\/strong>\n<p>\u039c\u03b7\u03bd \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b5 \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03ae \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ae \u03ba\u03c1\u03af\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 approval thresholds, audit trail, monitoring \u03b1\u03bd\u03ac failure type \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae \u03c3\u03b5 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 baseline.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"periorismoi-meletis\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b2\u03ac\u03b6\u03bf\u03c5\u03bd \u03cc\u03c1\u03b9\u03b1 \u03c3\u03c4\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03ac\u03c3\u03bc\u03b1\u03c4\u03b1<\/h2>\n<p>\u03a4\u03bf benchmark \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf: 19 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2 \u03c3\u03c4\u03b7\u03bd \u03ba\u03cd\u03c1\u03b9\u03b1 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7, \u03b5\u03c0\u03c4\u03ac wrappers, \u03c0\u03ad\u03bd\u03c4\u03b5 tasks \u03ba\u03b1\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03af specialists. \u039f\u03b9 \u03b5\u03ba\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bd\u03ac wrapper \u03b2\u03b1\u03c3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bb\u03af\u03b3\u03b5\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2. \u03a4\u03bf ground truth \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 45 expert-blinded tuples \u03ba\u03b1\u03b9 50 author-curated tuples \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd continental cohort, \u03b1\u03bd \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af provenance \u03b1\u03bd\u03ac cell. \u03a4\u03bf RL corpus \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf checkpoint.<\/p>\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03af\u03b1 frontier model family \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03bd\u03bf\u03b9\u03ba\u03c4\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf 9B. \u03a4\u03bf post-training \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03c4\u03cc\u03c2 \u03c4\u03bf\u03c5 Qwen, zero-shot \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 RL, \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 \u03bc\u03b9\u03ba\u03c1\u03bf\u03cd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5. \u0394\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03bf downstream synthesizer, \u03c4\u03bf conviction calibration \u03ae \u03c4\u03bf position sizing. \u0395\u03c0\u03af\u03c3\u03b7\u03c2, \u03bc\u03b9\u03b1 frontier \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 expanded held-out splits \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1. \u0395\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 design principle, \u03cc\u03c7\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b7 \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae \u03b3\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b5\u03c2 \u03c7\u03c1\u03b7\u03bc\u03b1\u03c4\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<h2 id=\"ousiastiko-design-principle\">\u03a4\u03bf \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc design principle<\/h2>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 prompt-level decomposition \u03ba\u03b1\u03b9 parameter-level adaptation \u03bb\u03cd\u03bd\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac bottlenecks. \u0397 \u03c3\u03c4\u03b5\u03bd\u03ae \u03b1\u03bd\u03ac\u03b8\u03b5\u03c3\u03b7 \u03b2\u03bf\u03b7\u03b8\u03ac \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af, \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03b5\u03af \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03c4\u03b5\u03af. \u0397 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03bd\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 evidence \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 agents \u03ae \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf prompt text.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03c4\u03bf Larix. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03b4\u03b9\u03ba\u03ae \u03c4\u03b7\u03c2 task taxonomy \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 evidence-controlled benchmark. \u039c\u03cc\u03bd\u03bf \u03c4\u03cc\u03c4\u03b5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c0\u03b9\u03c3\u03c4\u03ce\u03c3\u03b5\u03b9 \u03b1\u03bd \u03bf \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf\u03c2 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf context, \u03c3\u03c4\u03bf routing, \u03c3\u03c4\u03bf output contract \u03ae \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2. \u0397 \u03af\u03b4\u03b9\u03b1 \u03c0\u03b5\u03b9\u03b8\u03b1\u03c1\u03c7\u03af\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/multimodal-anazitisi-eikonon-embeddings-frontier-llms\/\">benchmarks \u03c0\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 AI<\/a>: \u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c4\u03ac \u03c3\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd workload. \u0397 \u03b1\u03be\u03af\u03b1 \u03c4\u03b7\u03c2 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b1\u03c5\u03c4\u03ae: \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf \u00ab\u03c0\u03cc\u03c3\u03bf\u03c5\u03c2 agents \u03ad\u03c7\u03bf\u03c5\u03bc\u03b5\u00bb \u03c3\u03c4\u03bf \u00ab\u03c0\u03bf\u03b9\u03b1 \u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c0\u03b1\u03b8\u03bf\u03cd\u03bc\u03b5 \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03bf\u03c5\u03bc\u03b5 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bc\u03b5 \u03cc\u03c4\u03b9 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5\u00bb.<\/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 paper \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf business pilot<\/p>\n<h3>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 AI agents \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae tasks, evidence \u03ba\u03b1\u03b9 validation<\/h3>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, integrations, output contracts, human approvals \u03ba\u03b1\u03b9 failure metrics, \u03ce\u03c3\u03c4\u03b5 \u03bf\u03b9 AI agents \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c1\u03bf\u03ae \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">Check out Business Automation &amp; AI<\/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 \u03ad\u03bd\u03b1\u03c2 lens-aligned specialist agent;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 AI agent \u03c4\u03bf\u03c5 \u03bf\u03c0\u03bf\u03af\u03bf\u03c5 \u03c4\u03bf prompt \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c6\u03b1\u03ba\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ce\u03c2 \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b5\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03c3\u03cc\u03bd\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039f\u03b9 \u03c0\u03bf\u03bb\u03bb\u03bf\u03af AI agents \u03ae\u03c4\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03b9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd agent;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03cc\u03bd\u03bf \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b1\u03bd \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03c4\u03bf aggregate \u03c4\u03c9\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ce\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ce\u03bd tasks, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7\u03c2 \u03ba\u03c1\u03af\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf full-framework prompt \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03bf\u03cd\u03c3\u03b5;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ae\u03ba\u03b7 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf\u03c5 \u03c4\u03bf\u03c5 16-lens framework \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd monolithic agent \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5 \u03c4\u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf \u03c3\u03c4\u03b5\u03bd\u03cc task-relevant scope, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 routing, \u03bc\u03ae\u03ba\u03bf\u03c2 prompt \u03ba\u03b1\u03b9 specialist identity.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf GRPO \u03c3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 reinforcement learning \u03cc\u03c0\u03bf\u03c5 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03ad\u03c3\u03c9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03b1\u03bd\u03c4\u03b1\u03bc\u03bf\u03b9\u03b2\u03ce\u03bd. \u0395\u03b4\u03ce \u03c4\u03bf reward \u03ae\u03c4\u03b1\u03bd \u03bf \u03af\u03b4\u03b9\u03bf\u03c2 deterministic task scorer \u03c4\u03b7\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2.<\/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\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 e-commerce;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 benchmark. \u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c4\u03b7\u03c2 task taxonomy \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b5\u03c5\u03c1\u03c9\u03c0\u03b1\u03ca\u03ba\u03ae \u03b5\u03b9\u03c3\u03b7\u03b3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03ba\u03af\u03bd\u03b7\u03c4\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c5\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c7\u03c1\u03b7\u03bc\u03b1\u03c4\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03c0\u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf Qwen3.5-9B \u03be\u03b5\u03c0\u03b5\u03c1\u03bd\u03ac frontier \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c4\u03bf\u03c5 Qwen \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03c4\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, zero-shot \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 post-trained checkpoint. \u03a4\u03bf paper \u03b4\u03b5\u03bd \u03ba\u03ac\u03bd\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03b9\u03ba\u03c1\u03bf\u03cd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/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 held-out \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf covenant stress \u03b3\u03b9\u03b1 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b5\u03c2, \u03c4\u03bf score \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 40,4 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u03a3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b1 regulatory wrappers \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1 \u03c7\u03c9\u03c1\u03af\u03c3\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b5\u03c2 \u03c3\u03b5 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ad\u03c2, \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03cd\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03c1\u03ac\u03be\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b5\u03c2 \u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03af\u03c3\u03b5\u03b9 \u03ba\u03bf\u03b9\u03bd\u03ac evidence, schema \u03ba\u03b1\u03b9 scorer \u03c0\u03c1\u03b9\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2.<\/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\/2608.11381\" target=\"_blank\" rel=\"noopener\">Taghavi &amp; Bhavani \u2014 From Numbers to Judgment, \u03c0\u03c1\u03c9\u03c4\u03bf\u03b3\u03b5\u03bd\u03ae\u03c2 \u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03c3\u03c4\u03bf arXiv<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/2608.11381\" target=\"_blank\" rel=\"noopener\">Taghavi &amp; Bhavani \u2014 \u03a0\u03bb\u03ae\u03c1\u03b5\u03c2 PDF \u03bc\u03b5 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1, \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/volcengine\/verl\" target=\"_blank\" rel=\"noopener\">veRL \u2014 \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository \u03c4\u03bf\u03c5 reinforcement-learning framework \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03bf AI Risk Management Framework \u03b3\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 governance<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u0395\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03bf\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03b9 AI agents \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 GRPO post-training.<\/p>","protected":false},"author":1,"featured_media":88937,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[6506,19312,19313,18034,19314],"class_list":["post-88870","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-agents","tag-financial-ai","tag-grpo","tag-reinforcement-learning","tag-chrimatooikonomiki-analysi"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88870","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=88870"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88870\/revisions"}],"predecessor-version":[{"id":88938,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88870\/revisions\/88938"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/88937"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=88870"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=88870"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=88870"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}