{"id":98253,"date":"2026-10-07T12:33:39","date_gmt":"2026-10-07T09:33:39","guid":{"rendered":"https:\/\/twodots.gr\/?p=98253"},"modified":"2026-10-07T12:33:40","modified_gmt":"2026-10-07T09:33:40","slug":"recursive-agentic-reasoning-branching-ai","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/recursive-agentic-reasoning-branching-ai\/","title":{"rendered":"Recursive Agentic Reasoning: \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf branching \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03c4\u03b1 \u03ac\u03bb\u03bb\u03b1 \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 AI reasoning"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>Answer first:<\/strong> \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 <em>Recursive Agentic Reasoning<\/em>, \u03c4\u03bf Branch \u2014 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b5\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 plurality vote \u2014 \u03ad\u03b4\u03c9\u03c3\u03b5 \u03c4\u03bf \u03c0\u03b9\u03bf \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03cc\u03bc\u03c9\u03c2 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 AI agent \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2: \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bf\u03c6\u03ad\u03bb\u03bf\u03c5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b8\u03b7\u03ba\u03b5 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd \u03c0\u03bf\u03c5 \u03c7\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03bd \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf token budget \u03c4\u03b5\u03bb\u03b5\u03af\u03c9\u03bd\u03b5 \u03c0\u03c1\u03b9\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03c3\u03c4\u03b5\u03af \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc output.<\/p>\n<\/div>\n<p>\u03a4\u03bf Recursive Agentic Reasoning \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 Grow, Prune \u03ba\u03b1\u03b9 Branch. \u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 paired evals \u03b3\u03b9\u03b1 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, truncation \u03ba\u03b1\u03b9 AI agents \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7.<\/p>\n<p>\u0391\u03bd \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 AI \u03ad\u03c7\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c7\u03c1\u03cc\u03bd\u03bf \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 model calls, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03b5\u03b9 \u03be\u03b1\u03bd\u03ac \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7, \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c3\u03c0\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c3\u03b5 \u03c5\u03c0\u03bf-\u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ae \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03b5\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03ba\u03c1\u03b1\u03c4\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7. \u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03ad\u03b2\u03b1\u03bb\u03b1\u03bd \u03b1\u03c5\u03c4\u03ad\u03c2 \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf, \u03bc\u03b5 \u03ba\u03bf\u03b9\u03bd\u03ac prompts, token budgets, answer extraction \u03ba\u03b1\u03b9 grading code.<\/p>\n<p>\u03a3\u03c4\u03b1 14 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 model\u2013benchmark settings, \u03bc\u03b5 49.327 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b7\u03bc\u03ad\u03bd\u03b1 items \u03ba\u03b1\u03b9 151.876 model calls, \u03c4\u03bf Branch \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 14 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf 5,98 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u0397 \u03c0\u03c1\u03bf\u03c3\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03c4\u03bf \u03c3\u03cd\u03bd\u03b8\u03b7\u03bc\u03b1 \u00ab\u03c0\u03ac\u03bd\u03c4\u03b1 \u03ba\u03ac\u03bd\u03b5 \u03c0\u03ad\u03bd\u03c4\u03b5 samples\u00bb. \u039f\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1, paired \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 model error \u03ba\u03b1\u03b9 infrastructure error.<\/p>\n<aside class=\"td-article-note\"><strong>\u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03cc\u03c1\u03b9\u03bf:<\/strong> \u03c4\u03bf Branch \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 flat self-consistency \u03bc\u03b5 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b5\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03ac\u03b2\u03b1\u03c1\u03bf vote. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 Tree of Thoughts, \u03b4\u03b5\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af verifier \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c3\u03c7\u03ae\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ac \u03c3\u03c9\u03c3\u03c4\u03cc \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 business workflow.<\/aside>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#tria-sximata\">\u03a4\u03c1\u03af\u03b1 \u03c3\u03c7\u03ae\u03bc\u03b1\u03c4\u03b1 recursion \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf reasoning trace<\/a><\/li>\n<li><a href=\"#koini-vasi\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03ba\u03bf\u03b9\u03bd\u03ae \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#branch-14-settings\">\u03a4\u03bf Branch \u03ae\u03c4\u03b1\u03bd \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 14 settings<\/a><\/li>\n<li><a href=\"#kena-outputs\">\u03a4\u03bf \u03b1\u03c0\u03c1\u03cc\u03c3\u03bc\u03b5\u03bd\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03ae\u03c4\u03b1\u03bd \u03c4\u03b1 \u03ba\u03b5\u03bd\u03ac outputs<\/a><\/li>\n<li><a href=\"#finalization-pass\">\u039c\u03b9\u03b1 \u03c6\u03b8\u03b7\u03bd\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 samples<\/a><\/li>\n<li><a href=\"#accuracy-efficiency\">Accuracy \u03ba\u03b1\u03b9 efficiency \u03b4\u03b5\u03bd \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae<\/a><\/li>\n<li><a href=\"#paired-scoring\">\u03a4\u03bf paired scoring \u03b1\u03c0\u03ad\u03c4\u03c1\u03b5\u03c8\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#production-evaluation\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03ad\u03bd\u03b1 production AI evaluation<\/a><\/li>\n<li><a href=\"#periorismoi\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b5\u03bc\u03c0\u03bf\u03b4\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b5\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#architektoniki-apofasis\">\u039c\u03b9\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 AI agents<\/a><\/li>\n<li><a href=\"#ousia\">\u0397 \u03bf\u03c5\u03c3\u03af\u03b1 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c4\u03af\u03b6\u03bf\u03c5\u03bd AI systems<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"tria-sximata\">\u03a4\u03c1\u03af\u03b1 \u03c3\u03c7\u03ae\u03bc\u03b1\u03c4\u03b1 recursion \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf reasoning trace<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b1 test-time reasoning methods \u03c9\u03c2 operators \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03cd \u03b5\u03bd\u03cc\u03c2 agent. \u03a4\u03bf <strong>Grow<\/strong> \u03b2\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03af\u03b1 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae: \u03b4\u03af\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b5\u03b9\u03b1 \u03be\u03b1\u03bd\u03ac \u03c3\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03bc\u03ad\u03c7\u03c1\u03b9 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03bf\u03af \u03b3\u03cd\u03c1\u03bf\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03be\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ae \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03b8\u03bf\u03cd\u03bd \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b3\u03cd\u03c1\u03bf\u03b9. \u0395\u03af\u03bd\u03b1\u03b9 \u03bb\u03b9\u03c4\u03ae iterative refinement \u03c7\u03c9\u03c1\u03af\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc critic.<\/p>\n<p>The <strong>Prune<\/strong> \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03ad\u03c3\u03c9 decomposition. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ac \u03c5\u03c0\u03bf-\u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03bf \u03ba\u03b1\u03b8\u03ad\u03bd\u03b1 \u03ad\u03c7\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c3\u03c4\u03bf context \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0391\u03bd \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1 \u03c5\u03c0\u03bf-\u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1, \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c3\u03b5 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03b5\u03c0\u03af\u03bb\u03c5\u03c3\u03b7 \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03c0\u03bb\u03b7\u03c1\u03c9\u03b8\u03b5\u03af \u03ac\u03c3\u03ba\u03bf\u03c0\u03bf overhead.<\/p>\n<p>The <strong>Branch<\/strong> \u03b1\u03bd\u03bf\u03af\u03b3\u03b5\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03bc\u03b5 temperature 0,7 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03b5 plurality vote \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc normalization. \u03a4\u03b1 \u03ba\u03b5\u03bd\u03ac outputs \u03c0\u03b1\u03af\u03c1\u03bd\u03bf\u03c5\u03bd \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc null key \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ba\u03b5\u03c1\u03b4\u03af\u03c3\u03bf\u03c5\u03bd, \u03b5\u03ba\u03c4\u03cc\u03c2 \u03b1\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b5\u03bd\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 samples. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c4\u03bf \u03c4\u03b1\u03c5\u03c4\u03af\u03b6\u03bf\u03c5\u03bd \u03b1\u03bb\u03b3\u03bf\u03c1\u03b9\u03b8\u03bc\u03b9\u03ba\u03ac \u03bc\u03b5 self-consistency\u00b7 \u03c4\u03bf \u03cc\u03bd\u03bf\u03bc\u03b1 Branch \u03b5\u03be\u03c5\u03c0\u03b7\u03c1\u03b5\u03c4\u03b5\u03af \u03c4\u03b7 \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03c1\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u03bd\u03ad\u03bf\u03c5 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5.<\/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\">Grow<\/p>\n<p>\u0395\u03bc\u03b2\u03b1\u03b8\u03cd\u03bd\u03b5\u03b9 \u03bc\u03af\u03b1 \u03bb\u03cd\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03cc\u03c4\u03b1\u03bd \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03ae\u03c3\u03bf\u03c5\u03bd \u03ae \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03c9\u03b8\u03bf\u03cd\u03bd \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b3\u03cd\u03c1\u03bf\u03b9.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u039c\u03af\u03b1 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae<\/span><span class=\"td-badge\">\u0388\u03c9\u03c2 3 \u03b3\u03cd\u03c1\u03bf\u03b9<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Prune<\/p>\n<p>\u0394\u03b9\u03b1\u03c3\u03c0\u03ac \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c3\u03b5 \u03b5\u03be\u03b1\u03c1\u03c4\u03ce\u03bc\u03b5\u03bd\u03b1 \u03c5\u03c0\u03bf-\u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03bc\u03af\u03b1 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Decomposition<\/span><span class=\"td-badge\">Recomposition<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Branch<\/p>\n<p>\u03a0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03ba\u03c1\u03b1\u03c4\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">5 samples<\/span><span class=\"td-badge\">Plurality vote<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"koini-vasi\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03ba\u03bf\u03b9\u03bd\u03ae \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7<\/h2>\n<p>Grow, Prune \u03ba\u03b1\u03b9 Branch \u03ad\u03c7\u03bf\u03c5\u03bd \u03bc\u03b5\u03bb\u03b5\u03c4\u03b7\u03b8\u03b5\u03af \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2, \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, graders \u03ba\u03b1\u03b9 budgets. \u0388\u03c4\u03c3\u03b9, \u03ad\u03bd\u03b1\u03c2 \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03bf\u03c2 AI \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1 gains \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b1\u03bd\u03cc\u03bc\u03bf\u03b9\u03b1 setups. \u0397 \u03bd\u03ad\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03c4\u03bf solving primitive, \u03c4\u03bf prompt, \u03c4\u03bf token budget, \u03c4\u03bf answer extraction \u03ba\u03b1\u03b9 \u03c4\u03bf grading, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c3\u03bf \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c3\u03c7\u03ae\u03bc\u03b1 \u03c4\u03b7\u03c2 recursion.<\/p>\n<p>\u0397 \u03b2\u03ac\u03c3\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 single-pass chain-of-thought. \u03a4\u03b1 benchmarks \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd multi-hop \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c3\u03c4\u03bf MuSiQue, expert-level \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf HLE, \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf general reasoning \u03c3\u03c4\u03bf BBEH, graduate knowledge \u03c3\u03c4\u03bf SuperGPQA \u03ba\u03b1\u03b9 olympiad mathematics \u03c3\u03c4\u03bf Omni-MATH. \u03a4\u03b1 \u03c4\u03c1\u03af\u03b1 text-only reasoning endpoints \u03ae\u03c4\u03b1\u03bd DeepSeek-V4-Pro, MiniMax-M3 \u03ba\u03b1\u03b9 Qwen3.6-plus. \u03a4\u03bf Omni-MATH \u03b4\u03b5\u03bd \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf Qwen, \u03b3\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd 14 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 15 cells.<\/p>\n<p>\u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae benchmarks \u03ad\u03b3\u03b9\u03bd\u03b5 \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf headroom: \u03c3\u03cd\u03bd\u03bf\u03bb\u03b1 \u03cc\u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b2\u03c1\u03b9\u03c3\u03ba\u03cc\u03c4\u03b1\u03bd \u03ae\u03b4\u03b7 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf \u03c4\u03b1\u03b2\u03ac\u03bd\u03b9 \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c6\u03b8\u03b7\u03ba\u03b1\u03bd. \u0395\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c5\u03c0\u03b5\u03bd\u03b8\u03cd\u03bc\u03b9\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac evals. \u0391\u03bd \u03c4\u03bf test suite \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03b5\u03cd\u03ba\u03bf\u03bb\u03bf, \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 orchestration strategies. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03ae \u03bc\u03b1\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03ce\u03c2 <a href=\"https:\/\/twodots.gr\/ai-benchmark-harness-allazei-nikiti\/\">\u03c4\u03bf benchmark harness \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf\u03bd \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae<\/a>.<\/p>\n<h2 id=\"branch-14-settings\">\u03a4\u03bf Branch \u03ae\u03c4\u03b1\u03bd \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 14 settings<\/h2>\n<p>\u039c\u03b5 paired scoring, \u03c4\u03bf Branch \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf 5,98 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03bc\u03b5 median 6,47 \u03ba\u03b1\u03b9 \u03b5\u03cd\u03c1\u03bf\u03c2 \u03b1\u03c0\u03cc 0,66 \u03ad\u03c9\u03c2 13,50. \u0389\u03c4\u03b1\u03bd \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ac \u03c0\u03c1\u03ce\u03c4\u03bf \u03c3\u03b5 12 cells, \u03b9\u03c3\u03bf\u03c6\u03ac\u03c1\u03b9\u03c3\u03b5 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03ad\u03c7\u03b1\u03c3\u03b5 \u03c3\u03b5 \u03ad\u03bd\u03b1. \u03a4\u03bf Grow \u03b5\u03af\u03c7\u03b5 \u03bc\u03ad\u03c3\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 2,18 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03ae\u03c4\u03b1\u03bd \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc \u03c3\u03b5 11 \u03b1\u03c0\u03cc 14 cells, \u03b1\u03bb\u03bb\u03ac \u03c5\u03c0\u03bf\u03c7\u03ce\u03c1\u03b7\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac 1,25 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c4\u03bf DeepSeek\u2013MuSiQue \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac 2,50 \u03c3\u03c4\u03bf DeepSeek\u2013BBEH.<\/p>\n<p>\u03a4\u03bf Prune \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03bc\u03cc\u03bb\u03b9\u03c2 \u03ba\u03b1\u03c4\u03ac 0,94 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03bc\u03b5 \u03b5\u03cd\u03c1\u03bf\u03c2 \u03b1\u03c0\u03cc \u22122,17 \u03ad\u03c9\u03c2 +4,00. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c3\u03c4\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 cells \u03ad\u03bd\u03b1 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03c9\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ce\u03bd \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf. \u0394\u03b5\u03bd \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd significance tests, \u03b5\u03bd\u03ce \u03c3\u03b5 cell 200 items \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc 95% \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 accuracy \u03c4\u03b9\u03bc\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u00b17 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2.<\/p>\n<p>\u0397 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b5 \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae routing hypothesis, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03cc\u03c4\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc operator. \u03a4\u03bf Branch \u03ae\u03c4\u03b1\u03bd \u03c0\u03c1\u03ce\u03c4\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 cells \u03c4\u03bf\u03c5 DeepSeek \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03c4\u03bf\u03c5 MiniMax. \u03a3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 Qwen cells \u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03bc\u03bf\u03b9\u03c1\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03bc\u03af\u03b1 \u03b9\u03c3\u03bf\u03c0\u03b1\u03bb\u03af\u03b1. \u039c\u03b5 \u03b1\u03c5\u03c4\u03ac \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03ad\u03bd\u03b1\u03c2 router \u03b8\u03b1 \u03bc\u03ac\u03b8\u03b1\u03b9\u03bd\u03b5 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bd\u03ac task.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">\u03a4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae\u03c2<\/p>\n<p class=\"td-chart-title\">\u03a4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03c0\u03bf\u03c5 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03ba\u03cd\u03c1\u03b9\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc harness \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc SLA \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ac AI agents.<\/p>\n<\/div>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">14\/14<\/span><span class=\"td-metric-label\">Cells \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf Branch \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03c4\u03bf single-pass baseline<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">+5,98 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2<\/span><span class=\"td-metric-label\">\u039c\u03ad\u03c3\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 accuracy \u03c4\u03bf\u03c5 Branch<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">49.327 items<\/span><span class=\"td-metric-label\">\u03a3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b7\u03bc\u03ad\u03bd\u03b1 records<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">151.876 calls<\/span><span class=\"td-metric-label\">\u039a\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03c3\u03b5 \u03cc\u03bb\u03b7 \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7<\/span><\/div>\n<\/div>\n<\/div>\n<h2 id=\"kena-outputs\">\u03a4\u03bf \u03b1\u03c0\u03c1\u03cc\u03c3\u03bc\u03b5\u03bd\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03ae\u03c4\u03b1\u03bd \u03c4\u03b1 \u03ba\u03b5\u03bd\u03ac outputs<\/h2>\n<p>\u0397 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf self-consistency \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 reasoning paths \u03bf\u03b4\u03b7\u03b3\u03bf\u03cd\u03bd \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03ae \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc: \u03c0\u03bf\u03bb\u03bb\u03ac single-pass calls \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03bf\u03cd\u03bd \u03c4\u03bf budget \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf hidden deliberation stream \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03bf\u03c5\u03bd \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ce\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf API, \u03b1\u03bb\u03bb\u03ac \u03c7\u03c9\u03c1\u03af\u03c2 user-visible \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<p>\u03a3\u03c4\u03bf HLE \u03bc\u03b5 DeepSeek-V4-Pro, \u03c4\u03bf baseline \u03ad\u03b4\u03c9\u03c3\u03b5 \u03ba\u03b5\u03bd\u03cc output \u03c3\u03c4\u03bf 51,2% \u03c4\u03c9\u03bd items. \u03a4\u03b1 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03ae\u03c4\u03b1\u03bd 34,5% \u03c3\u03c4\u03bf BBEH \u03ba\u03b1\u03b9 36,1% \u03c3\u03c4\u03bf Omni-MATH. \u039c\u03b5 \u03c0\u03ad\u03bd\u03c4\u03b5 samples, \u03c4\u03bf Branch \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03bc\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03cc\u03bb\u03b5\u03c2 \u03bf\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b5\u03b9\u03b5\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7, \u03b5\u03bd\u03ce \u03c4\u03bf vote \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03b5\u03b9 \u03b4\u03bf\u03bc\u03b9\u03ba\u03ac \u03c4\u03b1 null outputs. \u03a3\u03c4\u03bf HLE\u2013DeepSeek \u03c4\u03bf empty rate \u03ad\u03c0\u03b5\u03c3\u03b5 \u03b1\u03c0\u03cc 51,2% \u03c3\u03b5 32,2%, \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf BBEH\u2013MiniMax \u03b1\u03c0\u03cc 35,0% \u03c3\u03b5 15,5%.<\/p>\n<p>\u03a3\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf cell, \u03c4\u03bf \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 \u03c4\u03bf\u03c5 Branch \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03bc\u03b5 \u03c4\u03bf baseline empty-output rate \u03bc\u03b5 r=0,72 \u03c3\u03b5 14 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03b9\u03c4\u03af\u03b1\u03c2. \u0397 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1: \u03c4\u03bf Qwen3.6-plus \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5 \u03ba\u03b5\u03bd\u03cc output \u03c3\u03b5 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 benchmark, \u03ba\u03b1\u03b9 \u03b5\u03ba\u03b5\u03af \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03c4\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 Branch gains \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae \u03ae\u03c4\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03b1\u03c0\u03cc \u03c4\u03bf Grow.<\/p>\n<aside class=\"td-article-note\"><strong>\u0394\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc scaling:<\/strong> \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf branching \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1 single pass \u03b4\u03b5\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7, \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 budget handling \u03ba\u03b1\u03b9 observability. \u038c\u03c4\u03b1\u03bd \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03bb\u03af\u03bd\u03bf\u03c5\u03bd, \u03c4\u03cc\u03c4\u03b5 \u03c4\u03bf selection mechanism \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc asset.<\/aside>\n<h2 id=\"finalization-pass\">\u039c\u03b9\u03b1 \u03c6\u03b8\u03b7\u03bd\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 samples<\/h2>\n<p>\u03a4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc solving primitive \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 reasoning model \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03bb\u03cc\u03b3\u03c9 length \u03bc\u03b5 \u03ba\u03b5\u03bd\u03cc content. \u03a4\u03cc\u03c4\u03b5 \u03b4\u03af\u03bd\u03b5\u03b9 \u03be\u03b1\u03bd\u03ac \u03c3\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03bf truncated reasoning \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 \u03b6\u03b7\u03c4\u03ac \u03bd\u03b1 \u03b4\u03b5\u03c3\u03bc\u03b5\u03c5\u03c4\u03b5\u03af \u03c3\u03b5 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd \u03cc\u03c4\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bf\u03c6\u03ad\u03bb\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5 Branch \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c4\u03b5\u03c5\u03c7\u03b8\u03b5\u03af \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b1 \u03bc\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 finalization pass.<\/p>\n<p>\u0393\u03b9\u03b1 production \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2, \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03b9\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2. \u03a0\u03c1\u03b9\u03bd \u03b1\u03c5\u03be\u03b7\u03b8\u03b5\u03af \u03bf\u03c1\u03b9\u03b6\u03cc\u03bd\u03c4\u03b9\u03b1 \u03c4\u03bf sample count, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03b7\u03b8\u03bf\u03cd\u03bd stop reasons, empty content \u03ba\u03b1\u03b9 exhaustion \u03b1\u03bd\u03ac task type. \u0391\u03bd \u03c4\u03bf failure mode \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u00ab\u03c3\u03ba\u03ad\u03c6\u03c4\u03b7\u03ba\u03b5 \u03bc\u03ad\u03c7\u03c1\u03b9 \u03bd\u03b1 \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf budget \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u00bb, \u03bc\u03b9\u03b1 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ae recovery \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c4\u03b9\u03bc\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc \u03c0\u03ad\u03bd\u03c4\u03b5 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 request.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ac\u03bc\u03b5\u03c3\u03bf benchmark \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 A\/B test \u03bc\u03b5 \u03af\u03b4\u03b9\u03b5\u03c2 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5\u03c2, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, latency \u03ba\u03b1\u03b9 grader. \u03a4\u03bf paper \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 finalization pass \u03b8\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf sampling \u03c3\u03b5 customer support, content operations \u03ae e-commerce automation. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf failure mode \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03b8\u03b5\u03af. \u0393\u03b9\u03b1 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03b9 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1, \u03b4\u03b5\u03af\u03c4\u03b5 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/terminal-agents-ai-command-line-plires-systima\/\">terminal agents \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf<\/a>.<\/p>\n<h2 id=\"accuracy-efficiency\">Accuracy \u03ba\u03b1\u03b9 efficiency \u03b4\u03b5\u03bd \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae<\/h2>\n<p>\u03a4\u03bf baseline \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03af\u03b1 \u03ba\u03bb\u03ae\u03c3\u03b7 \u03b1\u03bd\u03ac item. \u03a4\u03bf Grow \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf 2,23 calls, \u03c4\u03bf Prune 4,04 \u03ba\u03b1\u03b9 \u03c4\u03bf Branch 4,85. \u0391\u03bd \u03c4\u03bf gain \u03b4\u03b9\u03b1\u03b9\u03c1\u03b5\u03b8\u03b5\u03af \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c4\u03bf Grow \u03b1\u03c0\u03ad\u03b4\u03c9\u03c3\u03b5 +1,77 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03b1\u03bd\u03ac \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf call, \u03c4\u03bf Branch +1,55 \u03ba\u03b1\u03b9 \u03c4\u03bf Prune +0,31. \u0386\u03c1\u03b1 \u03c4\u03bf Branch \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf accuracy ceiling, \u03cc\u03c7\u03b9 \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03ac \u03ba\u03bb\u03ae\u03c3\u03b7.<\/p>\n<p>\u03a4\u03bf \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc N=5 \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b5 early stopping. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03ae\u03b4\u03b7 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 agreement, \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c0\u03bb\u03b5\u03b9\u03bf\u03c8\u03b7\u03c6\u03af\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03ba\u03c1\u03b9\u03b8\u03b5\u03af \u03bc\u03b1\u03b8\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b7 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03c1\u03ce\u03c4\u03bf \u03bb\u03bf\u03b3\u03b9\u03ba\u03cc \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03b2\u03ae\u03bc\u03b1. \u0393\u03b9\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd, \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03bf\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 latency \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c4\u03bf\u03c5 vote.<\/p>\n<p>\u03a4\u03bf Prune \u03ae\u03c4\u03b1\u03bd dominated \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03b4\u03cd\u03bf \u03ac\u03be\u03bf\u03bd\u03b5\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae\u03c2. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 decomposition \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03c7\u03c1\u03b7\u03c3\u03c4\u03bf. \u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b1\u03c5\u03c4\u03ae \u03b7 \u03bb\u03b9\u03c4\u03ae \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7, \u03c3\u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 models, tasks \u03ba\u03b1\u03b9 budgets, \u03b4\u03b5\u03bd \u03ad\u03b4\u03c9\u03c3\u03b5 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03c7\u03ad\u03c3\u03b7 accuracy\u2013calls. \u0397 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 workflows \u03bc\u03b5 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1, state \u03ae \u03c6\u03c5\u03c3\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bd\u03ad\u03bf eval.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2<\/p>\n<p class=\"td-decision-title\">\u039c\u03b7\u03bd \u03b1\u03b3\u03bf\u03c1\u03ac\u03b6\u03b5\u03c4\u03b5 accuracy \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03b9\u03c4\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03b7\u03c2<\/p>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 single pass, targeted finalization, Grow \u03ba\u03b1\u03b9 Branch \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 resolved items. \u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 accuracy, empty-output rate, transport failures, calls, token cost, latency percentiles \u03ba\u03b1\u03b9 agreement \u03c0\u03c1\u03b9\u03bd \u03bf\u03c1\u03af\u03c3\u03b5\u03c4\u03b5 production policy.<\/p>\n<\/div>\n<h2 id=\"paired-scoring\">\u03a4\u03bf paired scoring \u03b1\u03c0\u03ad\u03c4\u03c1\u03b5\u03c8\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/h2>\n<p>\u03a3\u03b5 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b5\u03c2 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b5\u03b9\u03c2, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03af operators \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03cd\u03c7\u03bf\u03c5\u03bd \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac items \u03bb\u03cc\u03b3\u03c9 timeouts, resets \u03ae rate limits. \u0391\u03bd \u03ba\u03ac\u03b8\u03b5 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b7\u03b8\u03b5\u03af \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03cc,\u03c4\u03b9 \u03ba\u03b1\u03c4\u03ac\u03c6\u03b5\u03c1\u03b5 \u03bd\u03b1 \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03c3\u03b5\u03b9, \u03c4\u03cc\u03c4\u03b5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03cd\u03bd\u03bf\u03bb\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03ba\u03c1\u03ac\u03c4\u03b7\u03c3\u03b1\u03bd \u03b1\u03bd\u03ac cell \u03bc\u03cc\u03bd\u03bf \u03c4\u03b1 items \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03bb\u03cd\u03b8\u03b7\u03ba\u03b1\u03bd \u03b1\u03c0\u03cc \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2.<\/p>\n<p>\u03a3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03c5\u03c0\u03ae\u03c1\u03be\u03b1\u03bd 709 unrecoverable transport failures \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03b5\u03c0\u03c4\u03ac retries \u03bc\u03b5 exponential backoff. \u03a4\u03b1 failures \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03b8\u03b7\u03ba\u03b1\u03bd \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b7\u03b8\u03bf\u03cd\u03bd \u03c9\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5. \u0388\u03b3\u03b9\u03bd\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 deduplication \u03b1\u03bd\u03ac item, \u03bc\u03b5 \u03c0\u03c1\u03bf\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u03c3\u03c4\u03bf \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03bf record \u03cc\u03c4\u03b1\u03bd \u03c5\u03c0\u03ae\u03c1\u03c7\u03b1\u03bd \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2. \u03a3\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03c1\u03c7\u03b5\u03af\u03bf, \u03b7 \u03b1\u03c6\u03b5\u03bb\u03ae\u03c2 accuracy \u03b1\u03bd\u03ac \u03b3\u03c1\u03b1\u03bc\u03bc\u03ae \u03ae\u03c4\u03b1\u03bd 36,3%, \u03b5\u03bd\u03ce \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf deduplication \u03ad\u03b3\u03b9\u03bd\u03b5 72,5%.<\/p>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03c5\u03c0\u03c4\u03b9\u03ba\u03cc \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf Qwen\u2013HLE. \u0391\u03c1\u03c7\u03b9\u03ba\u03ae unpaired \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03ad\u03b4\u03b5\u03b9\u03c7\u03bd\u03b5 \u03c0\u03c4\u03ce\u03c3\u03b7 \u03c4\u03bf\u03c5 Branch \u03b1\u03c0\u03cc 14,20% \u03c3\u03b5 11,20%. \u038c\u03bc\u03c9\u03c2 \u03c4\u03bf Branch \u03b5\u03af\u03c7\u03b5 \u03c7\u03ac\u03c3\u03b5\u03b9 172 \u03b1\u03c0\u03cc \u03c4\u03b1 500 items \u03c3\u03b5 read timeouts, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 131 \u03c4\u03bf\u03c5 baseline. \u03a3\u03c4\u03b1 305 \u03ba\u03bf\u03b9\u03bd\u03ac \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03c9\u03bc\u03ad\u03bd\u03b1 items, \u03c4\u03bf Branch \u03ae\u03c4\u03b1\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ac +0,66 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u03a4\u03bf artefact \u03ae\u03c4\u03b1\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 3,6 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03b1\u03bb\u03b7\u03b8\u03b9\u03bd\u03ac effects \u03c4\u03bf\u03c5 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1.<\/p>\n<p>\u03a4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b1 \u03bc\u03b5 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ai-roi-axia-ergasias\/\">AI ROI \u03b1\u03bd\u03ac \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/a>: \u03ad\u03bd\u03b1 metric \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf denominator, \u03c4\u03b1 failures \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd \u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac.<\/p>\n<h2 id=\"production-evaluation\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03ad\u03bd\u03b1 production AI evaluation<\/h2>\n<p>\u0388\u03bd\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf eval \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc item ID, prompt \u03ba\u03b1\u03b9 version, model \u03ba\u03b1\u03b9 decoding settings, operator, token budget, stop reason, retries, transport status, extracted answer, grader result, latency \u03ba\u03b1\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc calls. \u0397 accuracy \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03c7\u03c9\u03bd\u03b5\u03cd\u03b5\u03b9 \u03ba\u03b5\u03bd\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, parsing errors, provider timeouts \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03ac \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 paired \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03b5\u03ba \u03c4\u03c9\u03bd \u03c0\u03c1\u03bf\u03c4\u03ad\u03c1\u03c9\u03bd \u03c4\u03b9 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 operator \u03b4\u03b5\u03bd \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 item. \u0397 \u03b4\u03b9\u03b1\u03c3\u03c4\u03b1\u03cd\u03c1\u03c9\u03c3\u03b7 \u03ba\u03bf\u03b9\u03bd\u03ce\u03bd resolved items \u03b4\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf attrition \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af operational signal. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03ad\u03be\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b1 14 cells \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b1\u03bd attrition, \u03b5\u03bd\u03ce \u03c4\u03bf Qwen\u2013HLE \u03ae\u03c4\u03b1\u03bd outlier \u03bc\u03b5 195 \u03c7\u03b1\u03bc\u03ad\u03bd\u03b1 items \u03b1\u03c0\u03cc 500.<\/p>\n<p>\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 cost dashboard \u03b1\u03bd\u03ac operator. \u0397 \u03af\u03b4\u03b9\u03b1 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae accuracy \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 calls, \u03ac\u03bb\u03bb\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae latency \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc recovery behavior. \u0393\u03b9\u03b1 e-commerce \u03ae marketing automation, \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf metric \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03ba\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 accuracy \u03b1\u03bd\u03ac request. \u039f\u03b9 \u03af\u03b4\u03b9\u03bf\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03af \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agent-harnesses-elegchos-kostos-self-hosting\/\">AI agent harness<\/a> \u03c0\u03b5\u03c1\u03bd\u03ac \u03b1\u03c0\u03cc \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03c3\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0391\u03c0\u03cc \u03c4\u03bf paper \u03c3\u03b5 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 production pilot<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc paired item 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 requests \u03c4\u03b7\u03c2 \u03b4\u03b9\u03ba\u03ae\u03c2 \u03c3\u03b1\u03c2 \u03c1\u03bf\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac item IDs, \u03ce\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 operator \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf single-pass baseline<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 model revision, prompt version, token budget, decoding settings, extractor \u03ba\u03b1\u03b9 grader \u03c0\u03c1\u03b9\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03c4\u03b5 \u03c4\u03bf orchestration.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b1 failure modes<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03bb\u03ac\u03b8\u03bf\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7, \u03ba\u03b5\u03bd\u03cc content, length stop, parsing error, timeout, rate limit \u03ba\u03b1\u03b9 \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03b7\u03bc\u03ad\u03bd\u03b1 retries.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 targeted finalization<\/strong>\n<p>\u0395\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 recovery \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03b5\u03af \u03c4\u03bf budget \u03c7\u03c9\u03c1\u03af\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc output \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b5 \u03bd\u03ad\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 sample.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u0395\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 Branch \u03b5\u03c0\u03b9\u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03ac<\/strong>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b5\u03b9\u03b5\u03c2 \u03c3\u03b5 \u03b1\u03b2\u03ad\u03b2\u03b1\u03b9\u03b5\u03c2 \u03ae \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03b1\u03bd\u03c4\u03af\u03ba\u03c4\u03c5\u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, \u03cc\u03c7\u03b9 \u03bf\u03c1\u03b9\u03b6\u03cc\u03bd\u03c4\u03b9\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 request.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 vote \u03ba\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 agreement, null votes, calls, tokens, tail latency \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd accuracy.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 rollout \u03ba\u03b1\u03b9 rollback gates<\/strong>\n<p>\u03a0\u03c1\u03bf\u03c9\u03b8\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03c4\u03bf paired gain \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2, latency \u03ba\u03b1\u03b9 failure rate \u03c4\u03b7\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c6\u03bf\u03c1\u03c4\u03af\u03bf.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf pilot \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 behavioral tests \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5 \u03ad\u03bd\u03b1 \u03bc\u03ad\u03c3\u03bf score. \u0394\u03b5\u03af\u03c4\u03b5 \u03b3\u03b9\u03b1\u03c4\u03af \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">AI agents \u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 behavioral testing<\/a>.<\/p>\n<h2 id=\"periorismoi\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b5\u03bc\u03c0\u03bf\u03b4\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b5\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u03a4\u03bf Branch \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af unweighted majority vote, \u03cc\u03c7\u03b9 verifier \u03ae confidence-weighted selection. \u0395\u03af\u03bd\u03b1\u03b9 flat sampling \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 Tree of Thoughts \u03ae Graph of Thoughts \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b5\u03ba\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03ba\u03b1\u03b9 \u03ba\u03bb\u03b1\u03b4\u03b5\u03cd\u03bf\u03c5\u03bd \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf agreement ratio \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b7\u03ba\u03b5 \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c9\u03c2 \u03b2\u03ac\u03c1\u03bf\u03c2 \u03ae confidence signal.<\/p>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 significance tests. \u039f HLE grader \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03bd\u03c4\u03b7\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc\u03c2 lower bound \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf LLM judge, \u03c4\u03bf Omni-MATH \u03b4\u03b5\u03bd \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf Qwen \u03ba\u03b1\u03b9 \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03af\u03c7\u03b1\u03bd hidden deliberation. \u0395\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 truncation \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac.<\/p>\n<p>\u03a4\u03bf pilot \u03c4\u03c9\u03bd 50 items \u03b5\u03af\u03c7\u03b5 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ac \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03be\u03b5\u03b9 \u03c4\u03bf routing story: Grow +4, Prune +5,3 \u03c3\u03c4\u03bf MuSiQue \u03b1\u03bb\u03bb\u03ac \u22122 \u03c3\u03c4\u03bf HLE, \u03ba\u03b1\u03b9 Branch +8. \u03a3\u03c4\u03b7\u03bd \u03c0\u03bb\u03ae\u03c1\u03b7 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c5\u03c0\u03bf\u03b4\u03b9\u03c0\u03bb\u03b1\u03c3\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03ba\u03b1\u03b9 \u03c4\u03bf sign flip \u03c4\u03bf\u03c5 Prune \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5. \u039c\u03b5 standard error \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03b9\u03c2 7 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03b3\u03b9\u03b1 n=50, \u03c4\u03bf pilot \u03ae\u03c4\u03b1\u03bd \u03c0\u03bf\u03bb\u03cd \u03bc\u03b9\u03ba\u03c1\u03cc \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03c6\u03b1\u03b9\u03bd\u03cc\u03c4\u03b1\u03bd \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03bf \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03b1\u03c0\u03cc benchmarks \u03c3\u03b5 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03b9\u03bf\u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd\u03c2 agents. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af text-only reasoning endpoints, \u03cc\u03c7\u03b9 \u03c0\u03bf\u03bb\u03cd\u03b2\u03b7\u03bc\u03b1 workflows \u03bc\u03b5 permissions, \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b7 \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2. \u03a3\u03b5 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1, \u03bf\u03b9 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03bf\u03cd\u03bd \u03c9\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/proof-gen-apotychimenes-diadromes-ai-agent-dedomena-ekpaidefsis\/\">PROOF-Gen<\/a>, \u03b1\u03bb\u03bb\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b1 safety gates.<\/p>\n<h2 id=\"architektoniki-apofasis\">\u039c\u03b9\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 AI agents<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ae \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae. \u03a0\u03c1\u03ce\u03c4\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03af\u03b1 \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03bb\u03cd\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0391\u03bd \u03c4\u03bf call \u03c3\u03c4\u03b1\u03bc\u03ac\u03c4\u03b7\u03c3\u03b5 \u03bb\u03cc\u03b3\u03c9 length \u03c7\u03c9\u03c1\u03af\u03c2 content, \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 targeted finalization. \u0391\u03bd \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03b2\u03ad\u03b2\u03b1\u03b9\u03b7 \u03ae \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc business impact, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 samples \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae\u03c2 selector. \u0397 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c8\u03b5\u03b9 \u03b1\u03c0\u03cc paired \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2.<\/p>\n<p>\u03a3\u03b5 content workflows \u03b1\u03c5\u03c4\u03cc \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03b3\u03b9\u03b1 factual extraction \u03ba\u03b1\u03b9 editorial synthesis. \u03a3\u03b5 customer service, \u03ac\u03bb\u03bb\u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf status request \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03b7 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae \u03bc\u03b5 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2. \u03a3\u03b5 e-commerce, \u03c4\u03bf branching \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c6\u03c5\u03bb\u03ac\u03c3\u03c3\u03b5\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b1\u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b5\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd inventory, policy \u03ba\u03b1\u03b9 order state. \u0391\u03c5\u03c4\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2, \u03cc\u03c7\u03b9 claims \u03c4\u03bf\u03c5 paper.<\/p>\n<p>\u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 samples \u03c9\u03c2 \u03c5\u03c0\u03bf\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c4\u03bf \u03c4\u03b7\u03c2 \u03b4\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7\u03c2. \u0391\u03bd \u03c0\u03ad\u03bd\u03c4\u03b5 calls \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03bf\u03c5\u03bd \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03bf\u03c5\u03bd \u03c3\u03b9\u03c9\u03c0\u03b7\u03bb\u03ac, \u03c4\u03bf \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03ad\u03c7\u03b5\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 observability \u03ba\u03b1\u03b9 budget handling. \u0391\u03bd \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03bf\u03c5\u03bd \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03bb\u03af\u03bd\u03bf\u03c5\u03bd, \u03c4\u03cc\u03c4\u03b5 \u03c4\u03bf selection mechanism \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc asset. \u03a0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd <a href=\"https:\/\/twodots.gr\/syps-sycophancy-prompt-sensitivity-ai\/\">\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03c1\u03af\u03c3\u03b7 \u03c4\u03bf\u03c5 AI \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf prompt<\/a>.<\/p>\n<h2 id=\"ousia\">\u0397 \u03bf\u03c5\u03c3\u03af\u03b1 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c4\u03af\u03b6\u03bf\u03c5\u03bd AI systems<\/h2>\n<p>The <em>Recursive Agentic Reasoning<\/em> \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03bd\u03ad\u03bf search algorithm. \u0397 \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03b4\u03cd\u03bf confounders: truncation \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 model failure \u03ba\u03b1\u03b9 unpaired scoring \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03c1\u03ad\u03c8\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1. \u03a4\u03bf Branch \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf \u03c0\u03b9\u03bf \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03b3\u03b9\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03b5\u03bd\u03ce \u03c4\u03bf Grow \u03ae\u03c4\u03b1\u03bd \u03b5\u03bb\u03b1\u03c6\u03c1\u03ce\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03b5 gain \u03b1\u03bd\u03ac \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf call.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c0\u03bf\u03b9\u03bf\u03c2 operator \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac;\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u00ab\u03c0\u03bf\u03b9\u03bf failure mode \u03ad\u03c7\u03bf\u03c5\u03bc\u03b5, \u03c3\u03b5 \u03c0\u03bf\u03b9\u03b1 tasks, \u03bc\u03b5 \u03c4\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c0\u03bf\u03b9\u03bf\u03bd \u03c4\u03c1\u03cc\u03c0\u03bf \u03c4\u03bf \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b1\u03bc\u03b5;\u00bb. \u038c\u03c4\u03b1\u03bd \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03c4\u03b1 items, \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf infrastructure \u03b1\u03c0\u03cc \u03c4\u03bf model behavior \u03ba\u03b1\u03b9 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03b5\u03b9 attrition, \u03c4\u03cc\u03c4\u03b5 \u03c4\u03bf test-time compute \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc demo \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c7\u03b5\u03b9\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b7 \u03b2\u03ac\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b3\u03af\u03bd\u03bf\u03c5\u03bd \u03bf\u03b9 <a href=\"https:\/\/twodots.gr\/ai-employees-epanalipsimo-systima-ergasias\/\">AI \u03c1\u03bf\u03ad\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b9\u03bc\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2<\/a>.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">AI orchestration \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03cc\u03c1\u03b9\u03b1<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 reasoning workflows \u03c0\u03bf\u03c5 \u03be\u03ad\u03c1\u03bf\u03c5\u03bd \u03c0\u03cc\u03c4\u03b5 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03bf\u03c5\u03bd \u03be\u03b1\u03bd\u03ac<\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03bc\u03b5 paired evals, stop-reason telemetry, \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 fallbacks \u03ba\u03b1\u03b9 human review, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf branching \u03bd\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03b5\u03ba\u03b5\u03af \u03cc\u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &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 \u03c4\u03bf Recursive Agentic Reasoning;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03bf\u03b9\u03bd\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 iterative refinement, decomposition \u03ba\u03b1\u03b9 repeated sampling \u03c9\u03c2 operators \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b7 reasoning trace \u03b5\u03bd\u03cc\u03c2 AI agent.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b1\u03c0\u03ad\u03b4\u03c9\u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf Branch \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7\u03bd accuracy \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 14 model\u2013benchmark cells, \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf 5,98 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03ba\u03b1\u03b9 \u03ae\u03c4\u03b1\u03bd \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ac \u03c0\u03c1\u03ce\u03c4\u03bf \u03c3\u03b5 12.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b2\u03bf\u03ae\u03b8\u03b7\u03c3\u03b5 \u03c4\u03bf Branch;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03ba\u03c4\u03cc\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c8\u03ae\u03c6\u03bf \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 reasoning paths, \u03b1\u03bd\u03ad\u03ba\u03c4\u03b7\u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 single pass \u03b5\u03be\u03ac\u03bd\u03c4\u03bb\u03b7\u03c3\u03b5 \u03c4\u03bf token budget \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03ad\u03b4\u03c9\u03c3\u03b5 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Branch \u03c4\u03bf \u03c0\u03b9\u03bf \u03b1\u03c0\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03cc \u03b1\u03bd\u03ac call;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0395\u03af\u03c7\u03b5 \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf accuracy ceiling, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf Grow \u03ad\u03b4\u03c9\u03c3\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ad\u03c3\u03bf gain \u03b1\u03bd\u03ac \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03ba\u03bb\u03ae\u03c3\u03b7: +1,77 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 +1,55 \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 paired scoring;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03cc\u03bb\u03b5\u03c2 \u03bf\u03b9 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 items \u03c0\u03bf\u03c5 \u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03c9\u03c3\u03b1\u03bd \u03cc\u03bb\u03b5\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac timeouts \u03ae transport failures \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 infrastructure failures \u03b4\u03b5\u03bd \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03c4\u03c3\u03b9 \u03c4\u03b9\u03bc\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03bf\u03b9 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03bc\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03c7\u03ad\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03c4\u03bf\u03c5 provider \u03ae \u03c4\u03bf\u03c5 harness \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \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\u03c1\u03ad\u03c0\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 AI agent \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c0\u03ad\u03bd\u03c4\u03b5 samples;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf N=5 \u03ae\u03c4\u03b1\u03bd \u03b7 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2. \u039c\u03b9\u03b1 production \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9 truncation, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, latency \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 targeted finalization \u03ae early stopping.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03b5\u03c4\u03b1\u03be\u03cd \u03ac\u03bb\u03bb\u03c9\u03bd, \u03c4\u03bf Branch \u03b5\u03af\u03c7\u03b5 \u03b1\u03c0\u03bb\u03cc unweighted vote, \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b8\u03b7\u03ba\u03b1\u03bd significance tests \u03ba\u03b1\u03b9 \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ae\u03c4\u03b1\u03bd reasoning models \u03bc\u03b5 hidden deliberation.<\/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\/2608.23956\" target=\"_blank\" rel=\"noopener\">Zhang et al. \u2014 Recursive Agentic Reasoning<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2203.11171\" target=\"_blank\" rel=\"noopener\">Wang et al. \u2014 Self-Consistency Improves Chain of Thought Reasoning in Language Models<\/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>\u03a4\u03bf Recursive Agentic Reasoning \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 Grow, Prune \u03ba\u03b1\u03b9 Branch. \u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 paired evals \u03b3\u03b9\u03b1 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, truncation \u03ba\u03b1\u03b9 AI agents \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7.<\/p>","protected":false},"author":1,"featured_media":105968,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[6506,18458,19403,20918,20917],"class_list":["post-98253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-agents","tag-ai-reasoning","tag-llm-evaluation","tag-self-consistency","tag-test-time-compute"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/98253","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=98253"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/98253\/revisions"}],"predecessor-version":[{"id":105969,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/98253\/revisions\/105969"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/105968"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=98253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=98253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=98253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}