{"id":98376,"date":"2026-10-11T14:50:10","date_gmt":"2026-10-11T11:50:10","guid":{"rendered":"https:\/\/twodots.gr\/?p=98376"},"modified":"2026-10-11T14:50:11","modified_gmt":"2026-10-11T11:50:11","slug":"exts-ai-agents-periorismeno-search-budget","status":"publish","type":"post","link":"https:\/\/twodots.gr\/de\/exts-ai-agents-periorismeno-search-budget\/","title":{"rendered":"ExTS: \u03c0\u03ce\u03c2 \u03bf\u03b9 AI agents \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03ad\u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf search budget"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0391\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ce\u03c4\u03b1:<\/strong> \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 AI agent \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc search budget, \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03bf\u03af\u03b3\u03b5\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ac \u03cc\u03bb\u03bf \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 branches. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b9\u03bc\u03ac \u03b1\u03bd \u03bc\u03b9\u03b1 \u03bd\u03ad\u03b1 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5 candidate \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03b2\u03c1\u03b5\u03b9.<\/p>\n<\/div>\n<p>\u03a4\u03bf ExTS \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03ce\u03c2 \u03bf\u03b9 AI agents \u03ba\u03b1\u03c4\u03b1\u03bd\u03ad\u03bc\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf search budget \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03bd\u03ad\u03b1 branches \u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7, \u03bc\u03b5 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<p>\u0388\u03bd\u03b1 agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03bf\u03b4\u03ad\u03c8\u03b5\u03b9 \u03b4\u03b5\u03ba\u03ac\u03b4\u03b5\u03c2 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c0\u03bb\u03b7\u03c3\u03b9\u03ac\u03c3\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bb\u03cd\u03c3\u03b7. \u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ae \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc compute. \u03a3\u03c5\u03c7\u03bd\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf budget \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b5\u03be\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7 \u03bd\u03ad\u03c9\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03bc\u03b9\u03b1\u03c2 \u03ae\u03b4\u03b7 \u03c5\u03c0\u03bf\u03c3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 <em>Exploit More, Explore Smarter for Budget-Constrained Agentic Search<\/em> \u03c4\u03c9\u03bd Haoyang Fang \u03ba\u03b1\u03b9 Bernie Wang \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf ExTS, \u03bc\u03b9\u03b1 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae tree search \u03c0\u03bf\u03c5 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03bd\u03ad\u03bf\u03c5 branch \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03be\u03af\u03b1\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2. \u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 discriminative reward shaping, stochastic virtual child \u03ba\u03b1\u03b9 quality-conditioned branching, \u03ce\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03bd\u03ad\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5 budget.<\/p>\n<p>\u039c\u03b5 \u03bc\u03af\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03c3\u03b5 prompt optimization, code generation, molecular structure elucidation \u03ba\u03b1\u03b9 agentic workflow optimization, \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03bc\u03ad\u03c3\u03bf \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 5,5% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 task-specific baselines. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 benchmarks, models \u03ba\u03b1\u03b9 scorers\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03c5\u03c0\u03cc\u03c3\u03c7\u03b5\u03c3\u03b7 \u03af\u03b4\u03b9\u03bf\u03c5 ROI \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc AI workflow.<\/p>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1<\/div>\n<ul>\n<li><a href=\"#periorismeno-budget\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc budget \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf search<\/a><\/li>\n<li><a href=\"#expansion-vs-deepening\">Expansion \u03ae deepening;<\/a><\/li>\n<li><a href=\"#reward-shaping\">\u03a0\u03ce\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 scores<\/a><\/li>\n<li><a href=\"#virtual-child\">\u03a4\u03b9 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03bf virtual child<\/a><\/li>\n<li><a href=\"#quality-gates\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c4\u03b1 quality gates<\/a><\/li>\n<li><a href=\"#evaluation\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 benchmarks<\/a><\/li>\n<li><a href=\"#diagnostics\">\u0393\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 setting \u03b4\u03b5\u03bd \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd<\/a><\/li>\n<li><a href=\"#business-application\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac AI workflows<\/a><\/li>\n<li><a href=\"#risk-limits\">\u038c\u03c1\u03b9\u03b1, validators \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1<\/a><\/li>\n<li><a href=\"#praktiko-plaisio\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf pilot<\/a><\/li>\n<li><a href=\"#production\">\u0391\u03c0\u03cc \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf compute \u03c3\u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf compute<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"periorismeno-budget\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc budget \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf search<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c9\u03c2 budget-constrained agentic search \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03cc\u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 LLM \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 candidates, \u03b5\u03bd\u03ce \u03c4\u03cc\u03c3\u03bf \u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03b5\u03c9\u03bd. \u039f\u03b9 candidates \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 prompts, \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u03c2, operator graphs, \u03c3\u03c7\u03ad\u03b4\u03b9\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03ce\u03bd \u03ae \u03ac\u03bb\u03bb\u03b5\u03c2 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03bf\u03c0\u03bf\u03af\u03b5\u03c2 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 validator.<\/p>\n<p>\u03a3\u03c4\u03b1 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03ac \u03c3\u03c7\u03ae\u03bc\u03b1\u03c4\u03b1 Monte Carlo Tree Search, \u03bf exploration bonus \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf\u03c2 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03c7\u03b8\u03b5\u03af \u03c0\u03bf\u03bb\u03cd \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03b5\u03c0\u03b9\u03c3\u03ba\u03ad\u03c8\u03b5\u03c9\u03bd. \u038c\u03c4\u03b1\u03bd \u03cc\u03bc\u03c9\u03c2 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03bc\u03cc\u03bd\u03bf \u03b4\u03b5\u03ba\u03ac\u03b4\u03b5\u03c2 \u03ae \u03b5\u03ba\u03b1\u03c4\u03bf\u03bd\u03c4\u03ac\u03b4\u03b5\u03c2 evaluations, \u03c4\u03bf bonus \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c5\u03c1\u03b9\u03b1\u03c1\u03c7\u03ae\u03c3\u03b5\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03ce\u03c4\u03b5\u03c2 \u03b5\u03c0\u03b9\u03c3\u03ba\u03ad\u03c8\u03b5\u03b9\u03c2. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03bb\u03b1\u03c4\u03cd \u03ba\u03b1\u03b9 \u03c1\u03b7\u03c7\u03cc \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf: \u03b1\u03bd\u03bf\u03af\u03b3\u03bf\u03c5\u03bd \u03c0\u03bf\u03bb\u03bb\u03ac siblings \u03c0\u03c1\u03b9\u03bd \u03c0\u03c1\u03bf\u03bb\u03ac\u03b2\u03b5\u03b9 \u03bd\u03b1 \u03c9\u03c1\u03b9\u03bc\u03ac\u03c3\u03b5\u03b9 \u03b7 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b1 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7\u03c2.<\/p>\n<aside class=\"td-article-note\"><strong>\u03a4\u03bf budget \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c1\u03b9\u03bf \u03ba\u03bb\u03ae\u03c3\u03b5\u03c9\u03bd.<\/strong> \u03a0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 validation runs, compilations, test suites, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2, \u03c7\u03c1\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 \u03ac\u03bb\u03bb\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03ba\u03c1\u03b9\u03b8\u03b5\u03af \u03ad\u03bd\u03b1\u03c2 candidate.<\/aside>\n<p>\u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 \u03b1\u03c0\u03bb\u03ae \u03b1\u03cd\u03be\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 exploration constant \u03b4\u03b5\u03bd \u03bb\u03cd\u03bd\u03b5\u03b9 \u03cc\u03bb\u03bf \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1. \u0388\u03bd\u03b1\u03c2 scalar \u03c3\u03c5\u03bd\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03ae\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03b5\u03be\u03b5\u03c1\u03b5\u03c5\u03bd\u03ac \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c2 node \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03bd\u03ad\u03bf branch \u03bf\u03cd\u03c4\u03b5 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c4\u03b1 flat rewards \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2.<\/p>\n<p>\u0397 \u03af\u03b4\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ai-roi-axia-ergasias\/\">AI ROI \u03c3\u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2<\/a>: \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 tokens \u03ae \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03bf\u03cd\u03bd \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03bc\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1.<\/p>\n<h2 id=\"expansion-vs-deepening\">Expansion \u03ae deepening;<\/h2>\n<p>\u0397 \u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1 \u03c4\u03bf\u03c5 ExTS \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf expansion \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf deepening. \u03a3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc node, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc child \u03bc\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b5\u03b9\u03ba\u03bf\u03bd\u03b9\u03ba\u03cc child \u03c0\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03bc\u03b5\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03be\u03af\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03bd\u03ad\u03bf\u03c5 branch. \u0391\u03bd \u03bf virtual child \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf\u03c2, \u03c4\u03bf \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf \u03b4\u03b9\u03b5\u03c5\u03c1\u03cd\u03bd\u03b5\u03c4\u03b1\u03b9. \u0394\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac, \u03c4\u03bf search \u03ba\u03b1\u03c4\u03b5\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c4\u03b7\u03bd \u03c0\u03b9\u03bf \u03c5\u03c0\u03bf\u03c3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03c3\u03b1 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae.<\/p>\n<div class=\"td-comparison td-comparison-cards--horizontal\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">\u039c\u03af\u03b1 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1 budget, \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2<\/p>\n<p class=\"td-chart-title\">\u0397 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b5\u03c1\u03b4\u03af\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03b7\u03c2<\/p>\n<p class=\"td-chart-intro\">\u03a4\u03bf ExTS \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 candidate \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7\u03c2 \u03ba\u03af\u03bd\u03b7\u03c3\u03b7\u03c2 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf search tree.<\/p>\n<\/div>\n<div class=\"td-comparison-grid\">\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">\u039d\u03ad\u03bf branch<\/p>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf reward history \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03b9\u03b1 \u03bd\u03ad\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd\u03c4\u03b5\u03c2 children.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">\u0392\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7<\/p>\n<p>\u03a0\u03c1\u03bf\u03c4\u03b9\u03bc\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd branch \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03cc exploitation signal \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ad\u03bd\u03b1\u03bd \u03ba\u03cd\u03ba\u03bb\u03bf refinement.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 branching<\/p>\n<p>\u0395\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bf node \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03bf quality gate \u03ae \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03c0\u03bb\u03ac\u03c4\u03bf\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03c3\u03ba\u03ad\u03c8\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c3\u03b5 iterative systems. \u0388\u03bd\u03b1 agent \u03c0\u03bf\u03c5 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03bc\u03af\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03bb\u03cd\u03c3\u03b7 \u03ae \u03bd\u03b1 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9 \u03b5\u03ba\u03b5\u03af\u03bd\u03b7 \u03c0\u03bf\u03c5 \u03ae\u03b4\u03b7 \u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03b1 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 tests. \u0388\u03bd\u03b1 agent \u03b3\u03b9\u03b1 marketing copy \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03bf\u03af\u03be\u03b5\u03b9 \u03bd\u03ad\u03bf concept \u03ae \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf concept \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf feedback. \u039a\u03b1\u03b9 \u03ad\u03bd\u03b1 workflow optimizer \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03b5\u03b9 \u03bd\u03ad\u03b1 operator graph \u03ae \u03bd\u03b1 \u03b5\u03be\u03b5\u03bb\u03af\u03be\u03b5\u03b9 \u03bc\u03af\u03b1 \u03b4\u03bf\u03bc\u03ae \u03c0\u03bf\u03c5 \u03ae\u03b4\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af.<\/p>\n<p>\u0397 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/recursive-agentic-reasoning-branching-ai\/\">branching \u03c3\u03c4\u03bf recursive agentic reasoning<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03b4\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 search \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03ba\u03ae \u03c4\u03b7\u03c2 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1. \u03a4\u03bf ExTS \u03b5\u03c3\u03c4\u03b9\u03ac\u03b6\u03b5\u03b9 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03c3\u03c4\u03bf \u03c0\u03bf\u03b9\u03bf\u03c2 branch \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03cd\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7.<\/p>\n<h2 id=\"reward-shaping\">\u03a0\u03ce\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 scores<\/h2>\n<p>\u03a3\u03b5 validation-heavy tasks, \u03c0\u03bf\u03bb\u03bb\u03ac \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b1 outputs \u03c0\u03b1\u03af\u03c1\u03bd\u03bf\u03c5\u03bd \u03ba\u03bf\u03bd\u03c4\u03b9\u03bd\u03ad\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b5\u03c2. \u0391\u03bd \u03cc\u03bb\u03b1 \u03bc\u03bf\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03b9\u03c3\u03bf\u03b4\u03cd\u03bd\u03b1\u03bc\u03b1, \u03c4\u03bf exploitation signal \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c4\u03c5\u03c7\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1. \u03a4\u03bf ExTS \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b1 observed scores \u03ba\u03b1\u03b9 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 temperature-controlled \u03bc\u03b7 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03cc \u03bc\u03b5\u03c4\u03b1\u03c3\u03c7\u03b7\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc, \u03ce\u03c3\u03c4\u03b5 \u03bf\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1.<\/p>\n<p>\u03a4\u03bf shaped reward \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03b1\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 success-rate weight. \u0388\u03bd\u03b1 subtree \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c3\u03c5\u03c7\u03bd\u03ac syntax errors, timeouts, invalid outputs \u03ae domain-specific rejections \u03c5\u03c0\u03bf\u03b2\u03b1\u03b8\u03bc\u03af\u03b6\u03b5\u03c4\u03b1\u03b9, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b9 \u03b1\u03bd \u03bc\u03b5\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c5\u03c8\u03b7\u03bb\u03cc score. \u039f \u03b5\u03ba\u03b8\u03ad\u03c4\u03b7\u03c2 \u03b1 \u03c1\u03c5\u03b8\u03bc\u03af\u03b6\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03c5\u03c4\u03ae \u03b7 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03bd\u03af\u03c3\u03c7\u03c5\u03c3\u03b7 \u03c4\u03c9\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03c9\u03bd scores \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ae. \u0391\u03bd \u03bf validator \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf proxy \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03cc\u03c7\u03bf, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03b3\u03b1\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ae \u03b1\u03bb\u03bb\u03ac \u03c0\u03b1\u03c1\u03b1\u03c0\u03bb\u03b1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac. \u03a3\u03c4\u03bf LiveCodeBench, \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03bb\u03af\u03b3\u03b1 public tests \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c9\u03c2 proxy \u03b3\u03b9\u03b1 \u03c4\u03bf \u03ba\u03c1\u03c5\u03c6\u03cc test suite\u00b7 \u03b7 \u03b7\u03c0\u03b9\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b8\u03b5\u03c1\u03bc\u03bf\u03ba\u03c1\u03b1\u03c3\u03af\u03b1 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7\u03bd pilot-adapted \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7.<\/p>\n<h2 id=\"virtual-child\">\u03a4\u03b9 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03bf virtual child<\/h2>\n<p>\u039f virtual child \u03b4\u03b5\u03bd \u03c0\u03b1\u03af\u03c1\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03b7 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1. \u03a4\u03bf ExTS \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd fair-share \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03b5\u03c0\u03b9\u03c3\u03ba\u03ad\u03c8\u03b5\u03c9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 children \u03ba\u03b1\u03b9 \u03b4\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b5\u03af \u03bc\u03b5 \u03b5\u03c0\u03b1\u03bd\u03ac\u03b8\u03b5\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf reward history \u03c4\u03bf\u03c5 parent. \u0397 \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03ae \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03c4\u03c3\u03b9 \u03c3\u03c4\u03b7\u03bd \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c4\u03c9\u03bd scores \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 search.<\/p>\n<p>\u038c\u03c4\u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03bb\u03af\u03b3\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c4\u03b1 samples \u03ad\u03c7\u03bf\u03c5\u03bd \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03ba\u03cd\u03bc\u03b1\u03bd\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03c7\u03ce\u03c1\u03bf \u03b3\u03b9\u03b1 exploration. \u039a\u03b1\u03b8\u03ce\u03c2 \u03bf\u03b9 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c5\u03be\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9, \u03ad\u03bd\u03b1\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc\u03c2 child \u03bc\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03ba\u03b1\u03bb\u03cc \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf\u03bd virtual child \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03b5\u03b9 \u03c4\u03bf budget \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1. \u0397 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03bb\u03cc\u03b3\u03bf\u03c2 \u03b3\u03b9\u03b1 \u03ac\u03c0\u03b5\u03b9\u03c1\u03bf branching, \u03b1\u03bb\u03bb\u03ac \u03c9\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03c4\u03b9\u03c0\u03b1\u03c1\u03b1\u03b2\u03ac\u03bb\u03bb\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5 \u03c4\u03bf fixed first-play urgency. \u039c\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03c4\u03b9\u03bc\u03ae \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03b9\u03b4\u03c1\u03ac \u03bc\u03b5 \u03c4\u03bf exploration constant, \u03c4\u03b7 \u03b8\u03b5\u03c1\u03bc\u03bf\u03ba\u03c1\u03b1\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c4\u03bf\u03c5 task. \u039f virtual child, \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b1, \u03b1\u03bd\u03c4\u03bb\u03b5\u03af \u03c4\u03bf reference \u03c4\u03bf\u03c5 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b1\u03bd\u03c4\u03b1\u03bc\u03bf\u03b9\u03b2\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c2 parent.<\/p>\n<h2 id=\"quality-gates\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c4\u03b1 quality gates<\/h2>\n<p>\u03a4\u03bf ExTS \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b4\u03cd\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5. \u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03ad\u03bd\u03b1\u03c2 non-root internal node \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd child \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03c4\u03bf score \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03bd\u03ac \u03ad\u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf quantile threshold. \u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03b7 progressive widening \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03bf branching factor \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03bf node \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c3\u03ba\u03ad\u03c8\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03c8\u03b7\u03bb\u03ac \u03c3\u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<p>\u039a\u03ac\u03b8\u03b5 leaf \u03c0\u03b1\u03af\u03c1\u03bd\u03b5\u03b9 \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd \u03bc\u03af\u03b1 \u03b5\u03c5\u03ba\u03b1\u03b9\u03c1\u03af\u03b1 \u03b5\u03c0\u03ad\u03ba\u03c4\u03b1\u03c3\u03b7\u03c2. \u03a4\u03bf gate \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c6\u03bf\u03cd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc evidence, \u03cc\u03c7\u03b9 \u03c0\u03c1\u03b9\u03bd. \u03a4\u03bf root \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b5\u03be\u03b1\u03b9\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03b9\u03c3\u03bc\u03cc, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1 \u03ba\u03b1\u03ba\u03cc \u03c0\u03c1\u03ce\u03c4\u03bf sample \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03bd\u03b1 \u03c3\u03c4\u03b5\u03c1\u03ae\u03c3\u03b5\u03b9 \u03b1\u03c0\u03cc \u03cc\u03bb\u03bf \u03c4\u03bf \u03b4\u03ad\u03bd\u03c4\u03c1\u03bf \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1.<\/p>\n<p>\u03a3\u03c4\u03b1 ablations \u03c4\u03bf\u03c5 HotpotQA, \u03b7 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 64,89%. \u03a7\u03c9\u03c1\u03af\u03c2 virtual child \u03ad\u03c0\u03b5\u03c3\u03b5 \u03c3\u03c4\u03bf 61,67%, \u03c7\u03c9\u03c1\u03af\u03c2 gated expansion \u03c3\u03c4\u03bf 63,22%, \u03c7\u03c9\u03c1\u03af\u03c2 gated progressive widening \u03c3\u03c4\u03bf 62,55% \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03c3\u03b8\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03c0\u03bf\u03b9\u03bd\u03ae \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2 \u03c3\u03c4\u03bf 57,11%. \u03a3\u03c4\u03bf LiveCodeBench, \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 gated progressive widening \u03ba\u03cc\u03c3\u03c4\u03b9\u03c3\u03b5 1,3 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc pass@1.<\/p>\n<h2 id=\"evaluation\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 benchmarks<\/h2>\n<p>\u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 domains \u03bc\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc budget \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1. \u03a3\u03c4\u03bf prompt optimization, \u03c4\u03bf ExTS \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf GEPA\/DSPy \u03b3\u03b9\u03b1 HotpotQA \u03ba\u03b1\u03b9 HoVeR. \u03a3\u03c4\u03bf code generation \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf TreeQuest \u03b3\u03b9\u03b1 182 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03b1 LiveCodeBench \u03bc\u03b5 budget 128. \u03a3\u03c4\u03bf molecular structure elucidation \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf K-MSE \u03b3\u03b9\u03b1 216 \u03bc\u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 16 rollouts. \u03a3\u03c4\u03bf workflow optimization \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf AFlow \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf DROP \u03bc\u03b5 20 rounds.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">ExTS \u00b7 fixed configuration<\/p>\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac search landscapes<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03b8\u03c1\u03bf\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 universal score.<\/p>\n<\/div>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">64,89%<\/span><span class=\"td-metric-label\">HotpotQA accuracy \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 58,55% \u03b3\u03b9\u03b1 GEPA Pareto<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">46,2%<\/span><span class=\"td-metric-label\">\u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc LiveCodeBench pass@1 \u03ba\u03b1\u03b9 19,1% \u03c3\u03c4\u03bf hard split<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">91,0%<\/span><span class=\"td-metric-label\">K-MSE exact-match ACC \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 89,8% \u03b3\u03b9\u03b1 \u03c4\u03bf baseline<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">90,96 F1<\/span><span class=\"td-metric-label\">\u03c3\u03c4\u03bf DROP \u03bc\u03b5 \u03bc\u03ad\u03c3\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 15,26 \u03b4\u03bf\u03bb\u03ac\u03c1\u03b9\u03b1 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf setup<\/span><\/div>\n<\/div>\n<\/div>\n<p>\u03a3\u03c4\u03bf HotpotQA, \u03c4\u03bf ExTS \u03b5\u03af\u03c7\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03ba\u03cd\u03bc\u03b1\u03bd\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf GEPA Pareto \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 seeds. \u03a3\u03c4\u03bf HoVeR \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03b7\u03c2 fixed \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7\u03c2 \u03ae\u03c4\u03b1\u03bd \u03bc\u03cc\u03bb\u03b9\u03c2 0,2% \u03ba\u03b1\u03b9 \u03b5\u03bd\u03c4\u03cc\u03c2 \u03b8\u03bf\u03c1\u03cd\u03b2\u03bf\u03c5. \u03a3\u03c4\u03bf hard split \u03c4\u03bf\u03c5 LiveCodeBench \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 19,1% pass@1 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 18,1% \u03b3\u03b9\u03b1 Standard MCTS \u03ba\u03b1\u03b9 17,1% \u03b3\u03b9\u03b1 AB-MCTS-A. \u03a3\u03c4\u03bf K-MSE, \u03c4\u03bf exact-match ACC \u03ae\u03c4\u03b1\u03bd 91,0% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 89,8%.<\/p>\n<p>\u03a3\u03c4\u03bf DROP, \u03b7 fixed \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03b5\u03af\u03c7\u03b5 F1 90,96 \u03ba\u03b1\u03b9 \u03bc\u03ad\u03c3\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 15,26 \u03b4\u03bf\u03bb\u03ac\u03c1\u03b9\u03b1, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 F1 89,28 \u03ba\u03b1\u03b9 36,70 \u03b4\u03bf\u03bb\u03b1\u03c1\u03af\u03c9\u03bd \u03b3\u03b9\u03b1 \u03c4\u03b7 linear CoT \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b1, \u03ba\u03b1\u03b9 F1 87,89 \u03bc\u03b5 26,09 \u03b4\u03bf\u03bb\u03ac\u03c1\u03b9\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf AFlow. \u0397 cost comparison \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf domain, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b5\u03ba\u03b5\u03af \u03c4\u03bf conditioning depth \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03c4\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2 \u03c4\u03bf\u03c5 context. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc\u03c2 \u03c4\u03b9\u03bc\u03bf\u03ba\u03b1\u03c4\u03ac\u03bb\u03bf\u03b3\u03bf\u03c2 agentic AI.<\/p>\n<p>\u03a4\u03bf \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03b4\u03b5\u03ba\u03c4\u03ae \u03c3\u03c4\u03b1 Findings of EMNLP 2026 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c4\u03b5\u03b9 dependency-free implementation \u03c4\u03bf\u03c5 selector \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 integration examples. \u0391\u03c5\u03c4\u03cc \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03b9\u03c1\u03b5\u03af \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 tests: \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf repository \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03ae\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2 integration result \u03b5\u03bd\u03b4\u03b5\u03b9\u03ba\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b9\u03c3\u03c4\u03ac \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf review.<\/p>\n<h2 id=\"diagnostics\">\u0393\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 setting \u03b4\u03b5\u03bd \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 pilot diagnostics: failure rate, normalized score deviation, score drift \u03ba\u03b1\u03b9 refinement variance. \u039f \u03c0\u03c1\u03ce\u03c4\u03bf\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03cc\u03c3\u03b5\u03c2 expansions \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03bf\u03c5\u03bd. \u039f \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c0\u03ce\u03bd\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03b1\u03c0\u03bb\u03c9\u03bc\u03ad\u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b1 scores. \u03a4\u03bf score drift \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03cc\u03c3\u03bf \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b8\u03ce\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bd\u03ad\u03b1 extremes. \u0397 refinement variance \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bf stochastic refiner \u03b1\u03c0\u03cc \u03c4\u03bf \u03af\u03b4\u03b9\u03bf input.<\/p>\n<p>\u039f\u03b9 \u03c5\u03c0\u03bf\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03bf\u03b4\u03b7\u03b3\u03bf\u03cd\u03bd \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ad\u03c2 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2. \u03a5\u03c8\u03b7\u03bb\u03cc failure rate \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c0\u03b9\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c4\u03bf\u03bd success exponent \u03b1. \u03a5\u03c8\u03b7\u03bb\u03cc score drift \u03b5\u03c5\u03bd\u03bf\u03b5\u03af \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03c1\u03ce\u03b9\u03bc\u03b7 \u03b5\u03be\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03b1\u03bb\u03ac\u03c1\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 score gate. \u03a7\u03b1\u03bc\u03b7\u03bb\u03ae variance \u03ae weak validator \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b7\u03c0\u03b9\u03cc\u03c4\u03b5\u03c1\u03bf reward shaping, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf search \u03bd\u03b1 \u03bc\u03b7 \u03b4\u03b5\u03c3\u03bc\u03b5\u03c5\u03c4\u03b5\u03af \u03c0\u03c1\u03cc\u03c9\u03c1\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03bf\u03c5\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7.<\/p>\n<p>\u0397 fixed \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 pilot \u03ba\u03b1\u03b9 \u03ae\u03b4\u03b7 \u03c4\u03b1\u03af\u03c1\u03b9\u03b1\u03be\u03b5 \u03ae \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03c4\u03b1 task-specialized baselines \u03c3\u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 tests. \u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 pilot-adapted \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c3\u03b1\u03bd 0,2 \u03ad\u03c9\u03c2 1,2 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b7\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03ad\u03ba\u03b1\u03bd\u03b1\u03bd \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03b7\u03c4\u03b9\u03ba\u03cc grid search, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03c9\u03bd agentic \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03ac\u03c4\u03c9\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc.<\/p>\n<h2 id=\"business-application\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac AI workflows<\/h2>\n<p>\u0397 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 optimizer \u03bc\u03b5 ExTS\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 iterative AI workflow \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c1\u03b7\u03c4\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2 budget. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b9 \u03b8\u03b5\u03c9\u03c1\u03b5\u03af candidate, \u03c4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03bf validator, \u03c0\u03bf\u03b9\u03b1 failures \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd budget \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b7 \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03bd\u03ad\u03bf branch \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 deepening.<\/p>\n<p>\u03a3\u03b5 e-commerce, \u03bf\u03b9 candidates \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03c9\u03bd, \u03c1\u03bf\u03ad\u03c2 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2 \u03ae rules \u03b3\u03b9\u03b1 merchandising. \u03a3\u03c4\u03bf marketing \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 concepts, landing-page variants \u03ae SEO briefs. \u03a3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 \u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03bf\u03cd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 patches \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ac tests. \u03a4\u03bf paper \u03b4\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03cc\u03bb\u03b5\u03c2 \u03b1\u03c5\u03c4\u03ad\u03c2 \u03c4\u03b9\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03af\u03bd\u03b5\u03b9 architecture pattern \u03b3\u03b9\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7.<\/p>\n<p>\u0388\u03bd\u03b1 production dashboard \u03b8\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af success rate, score spread, drift, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b1\u03bd\u03ac valid candidate, depth \u03c4\u03bf\u03c5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5 branch, \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03bb\u03cc\u03b3\u03bf exploration \u03c0\u03c1\u03bf\u03c2 exploitation. \u039f\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 outcome \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03bd\u03cc\u03b7\u03bc\u03b1, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5 \u03b5\u03cd\u03ba\u03bf\u03bb\u03bf heuristic score.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b1 controls \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agent-harnesses-elegchos-kostos-self-hosting\/\">AI agent harnesses \u03b3\u03b9\u03b1 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2<\/a>, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03cc\u03c4\u03b9 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-employees-epanalipsimo-systima-ergasias\/\">AI employees \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c9\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> \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03bc\u03b5\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b1 prompts.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">Production gate<\/p>\n<p class=\"td-decision-title\">\u0392\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf search \u03bc\u03cc\u03bd\u03bf \u03b1\u03c6\u03bf\u03cd \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03b5\u03cd\u03b5\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd validator<\/p>\n<p>\u0391\u03bd \u03c4\u03bf score \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc business outcome, \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf tree policy \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bd\u03b1 \u03b2\u03c1\u03b5\u03b9 \u03b3\u03c1\u03b7\u03b3\u03bf\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c4\u03bf\u03bd \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03c4\u03cc\u03c7\u03bf. \u03a0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 rollout, \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 held-out tests, failure taxonomy, \u03cc\u03c1\u03b9\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2 fallback.<\/p>\n<\/div>\n<h2 id=\"risk-limits\">\u038c\u03c1\u03b9\u03b1, validators \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1<\/h2>\n<p>\u03a4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03ad\u03bd\u03b1 model \u03b1\u03bd\u03ac domain \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac datasets, metrics \u03ba\u03b1\u03b9 budgets. \u0394\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c5\u03c3\u03c4\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03c9\u03bd diagnostics \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 model families. \u03a4\u03bf pilot tree \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 compute, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b9 \u03b1\u03bd \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03c9\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bb\u03bb\u03b5\u03c7\u03b8\u03b5\u03af \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 baseline run \u03c0\u03bf\u03c5 \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b8\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03bf\u03cd\u03c3\u03b5 \u03bf\u03cd\u03c4\u03c9\u03c2 \u03ae \u03ac\u03bb\u03bb\u03c9\u03c2.<\/p>\n<p>\u039f validator \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03b9\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03cc\u03c1\u03b9\u03bf. \u03a3\u03c4\u03bf K-MSE, \u03bf scorer \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 embedding similarity \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03ce\u03c3\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc reward \u03c3\u03b5 \u03b4\u03bf\u03bc\u03b9\u03ba\u03ac \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 \u03b1\u03bb\u03bb\u03ac \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 \u03bc\u03cc\u03c1\u03b9\u03b1. \u03a3\u03c4\u03bf LiveCodeBench, \u03bb\u03af\u03b3\u03b1 public tests \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c4\u03b5\u03bb\u03ad\u03c2 proxy \u03b3\u03b9\u03b1 \u03c4\u03bf hidden suite. \u03a3\u03b5 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03c3\u03c4\u03b5\u03af \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 readability score \u03c5\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf brand fit, \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 click metric \u03c5\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 \u03ae \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 automated check \u03b4\u03b5\u03bd \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 compliance.<\/p>\n<p>\u0397 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf score \u03b4\u03b5\u03bd \u03c3\u03c5\u03bb\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c1\u03af\u03c3\u03ba\u03bf. \u0388\u03bd\u03b1 agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03b5\u03be\u03b1\u03b9\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc validation score \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b2\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ad\u03c2, \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03bb\u03ac\u03b8\u03bf\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ae \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b1\u03bd\u03b5\u03c0\u03b9\u03b8\u03cd\u03bc\u03b7\u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac. \u0397 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agents-me-oria-aftonomia-kai-krisi\/\">AI agents \u03bc\u03b5 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bc\u03b1\u03ba\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03b1\u03c5\u03c4\u03bf\u03bd\u03bf\u03bc\u03af\u03b1<\/a> \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03b5\u03be\u03bf\u03c5\u03c3\u03b9\u03bf\u03b4\u03cc\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<p>\u03a4\u03bf NIST AI RMF \u03ba\u03b1\u03b9 \u03c4\u03bf Generative AI Profile \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc govern, map, measure \u03ba\u03b1\u03b9 manage. \u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 ExTS-like \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1, \u03b1\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c4\u03cc\u03c7\u03bf\u03c5, \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 validator, \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03ba\u03ac\u03b8\u03b5 search decision \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b1\u03bd \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, drift \u03ae failure rate \u03c0\u03b5\u03c1\u03ac\u03c3\u03bf\u03c5\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ac \u03cc\u03c1\u03b9\u03b1.<\/p>\n<h2 id=\"praktiko-plaisio\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf pilot<\/h2>\n<p>\u0388\u03bd\u03b1 production pilot \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae budget allocation \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc benchmark.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0391\u03c0\u03cc \u03c4\u03bf\u03bd candidate \u03c3\u03c4\u03bf\u03bd \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf search controller<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Schritt 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf search object<\/strong>\n<p>\u039a\u03b1\u03b8\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd \u03bf candidate \u03b5\u03af\u03bd\u03b1\u03b9 prompt, \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u03c2, workflow, \u03c0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03ae action plan \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c0\u03b5\u03b4\u03af\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bf refiner.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Schritt 2<\/span><strong>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc budget<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 model calls, validation runs, latency, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03c7\u03c1\u03cc\u03bd\u03bf \u03ba\u03b1\u03b9 \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03c0\u03c1\u03b9\u03bd \u03b1\u03c1\u03c7\u03af\u03c3\u03b5\u03b9 \u03c4\u03bf search.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Schritt 3<\/span><strong>\u0395\u03c0\u03b9\u03ba\u03c5\u03c1\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd validator<\/strong>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03c4\u03bf score \u03bc\u03b5 held-out outcomes, policy checks \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03c4\u03b5 reward-metric gaps.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Schritt 4<\/span><strong>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 failures \u03ba\u03b1\u03b9 drift<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 invalid outputs, timeouts, score spread, \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c3\u03c4\u03b1 normalization bounds \u03ba\u03b1\u03b9 stochastic variance \u03c4\u03bf\u03c5 refiner.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 5<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03bc\u03b5 \u03b1\u03c0\u03bb\u03ac baselines<\/strong>\n<p>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 linear refinement, standard MCTS \u03ae \u03c4\u03bf\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1 optimizer \u03bc\u03b5 \u03af\u03b4\u03b9\u03bf budget \u03ba\u03b1\u03b9 \u03af\u03b4\u03b9\u03b5\u03c2 test \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 6<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 tree shape \u03ba\u03b1\u03b9 marginal gain<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 \u03c0\u03bb\u03ac\u03c4\u03bf\u03c2, \u03b2\u03ac\u03b8\u03bf\u03c2, \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf branch \u03ba\u03b1\u03b9 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc score.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 7<\/span><strong>\u0398\u03ad\u03c3\u03c4\u03b5 release gate \u03ba\u03b1\u03b9 fallback<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03cc\u03c4\u03b5 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03c4\u03bf search, \u03c0\u03cc\u03c4\u03b5 \u03b6\u03b7\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03b7 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 baseline \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b1 branches \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03c7\u03c1\u03b7\u03c3\u03c4\u03b1 \u03b1\u03bd \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac. \u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd failure taxonomies, validators \u03ba\u03b1\u03b9 training data, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03ce\u03c2 \u03bf\u03b9 <a href=\"https:\/\/twodots.gr\/proof-gen-apotychimenes-diadromes-ai-agent-dedomena-ekpaidefsis\/\">\u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 AI agent \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1<\/a>.<\/p>\n<h2 id=\"production\">\u0391\u03c0\u03cc \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf compute \u03c3\u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf compute<\/h2>\n<p>\u03a4\u03bf ExTS \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\u03b5\u03c2 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03b8\u03b1 \u03ba\u03b1\u03bb\u03ad\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u00bb \u03c3\u03c4\u03bf \u00ab\u03b3\u03b9\u03b1\u03c4\u03af \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03b7 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03ba\u03bb\u03ae\u03c3\u03b7\u00bb. \u03a4\u03bf reward shaping \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c3\u03c4\u03b5\u03bd\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2, \u03bf virtual child \u03b5\u03ba\u03c4\u03b9\u03bc\u03ac \u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03bd\u03ad\u03bf\u03c5 branch \u03ba\u03b1\u03b9 \u03c4\u03b1 quality gates \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03b5\u03be\u03ad\u03bb\u03b5\u03b3\u03ba\u03c4\u03b7 \u03b4\u03b9\u03b5\u03cd\u03c1\u03c5\u03bd\u03c3\u03b7 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03c9\u03bd subtrees.<\/p>\n<p>\u0397 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c1\u03c7\u03ae \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 exploration \u03ba\u03b1\u03b9 exploitation \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2 \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c1\u03af\u03c3\u03ba\u03bf. \u038c\u03c4\u03b1\u03bd validation, latency, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 model calls \u03ad\u03c7\u03bf\u03c5\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c4\u03b9\u03bc\u03ae, \u03bf agent \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03bf\u03cd \u03c3\u03c5\u03bd\u03b5\u03c7\u03af\u03b6\u03b5\u03b9, \u03c0\u03bf\u03cd \u03b4\u03b9\u03b1\u03ba\u03bb\u03b1\u03b4\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac.<\/p>\n<p>\u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae, \u03cc\u03c7\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03bf validator \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af \u03c3\u03c4\u03bf\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03cc\u03c7\u03bf, \u03c4\u03bf budget \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c1\u03b1\u03c4\u03cc, \u03bf\u03b9 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c8\u03b5\u03b9 \u03c3\u03b5 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 fallback.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">AI workflows \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf budget<\/p>\n<p class=\"td-service-cta-title\">\u0394\u03ce\u03c3\u03c4\u03b5 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 agent \u03c3\u03b1\u03c6\u03ae \u03c3\u03c4\u03cc\u03c7\u03bf, validator \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af candidates, model calls, validations, approvals, monitoring \u03ba\u03b1\u03b9 fallback \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 agentic workflow \u03bd\u03b1 \u03b5\u03c0\u03b5\u03bd\u03b4\u03cd\u03b5\u03b9 compute \u03b5\u03ba\u03b5\u03af \u03cc\u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\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\">H\u00e4ufig gestellte Fragen<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf ExTS;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae tree search \u03b3\u03b9\u03b1 budget-constrained AI agents. \u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 reward shaping, stochastic virtual child \u03ba\u03b1\u03b9 quality-conditioned branching \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03bd\u03ad\u03bf branch \u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03bf refinement.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c0\u03b1\u03b8\u03b5\u03af \u03bd\u03b1 \u03bb\u03cd\u03c3\u03b5\u03b9;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c0\u03b1\u03c4\u03ac\u03bb\u03b7 \u03bc\u03b9\u03ba\u03c1\u03bf\u03cd evaluation budget \u03c3\u03b5 \u03c0\u03bb\u03b1\u03c4\u03b9\u03ac, \u03c1\u03b7\u03c7\u03ac search trees \u03ba\u03b1\u03b9 \u03c3\u03b5 branches \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03ad\u03c7\u03bf\u03c5\u03bd \u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf virtual child;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03be\u03af\u03b1\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03bd\u03ad\u03bf\u03c5 branch, \u03b2\u03b1\u03c3\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c4\u03bf reward history \u03c4\u03bf\u03c5 parent. \u0391\u03bd \u03be\u03b5\u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc child, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 expansion.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c4\u03bf\u03c5 exploration constant;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1\u03c2 scalar \u03c3\u03c5\u03bd\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03ae\u03c2 \u03b4\u03b5\u03bd \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03c4\u03b1 flat rewards, \u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03c7\u03c1\u03b5\u03c9\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03ad\u03ba\u03c4\u03b1\u03c3\u03b7 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03c9\u03bd siblings \u03ba\u03b1\u03b9 \u03c4\u03bf branching \u03c7\u03c9\u03c1\u03af\u03c2 quality gate.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a3\u03b5 \u03c0\u03bf\u03b9\u03b1 domains \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03b7\u03bd \u03ba\u03cd\u03c1\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd prompt optimization, code generation, molecular structure elucidation \u03ba\u03b1\u03b9 agentic workflow optimization. \u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 GPU kernel optimization.<\/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 \u03c3\u03c5\u03bd\u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03bc\u03ad\u03c3\u03bf \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 5,5% \u03bc\u03b5 \u03bc\u03af\u03b1 fixed \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03c3\u03c4\u03b1 \u03ba\u03cd\u03c1\u03b9\u03b1 domains, \u03b1\u03bb\u03bb\u03ac \u03bf\u03b9 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2, models \u03ba\u03b1\u03b9 budgets \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 pilot run;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0397 fixed \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 pilot. \u03a4\u03b1 diagnostics \u03b2\u03bf\u03b7\u03b8\u03bf\u03cd\u03bd \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ad\u03c2 task-specific \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ce\u03bd\u03c4\u03b1\u03b9 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf tuning.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc production \u03c7\u03c1\u03ae\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03cd\u03c3\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf validator \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc outcome, \u03bd\u03b1 \u03bf\u03c1\u03af\u03c3\u03b5\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc budget, failure taxonomy, held-out tests, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 fallback.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Quellen<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.23848\" target=\"_blank\" rel=\"noopener\">Haoyang Fang \u03ba\u03b1\u03b9 Bernie Wang \u2014 Exploit More, Explore Smarter for Budget-Constrained Agentic Search, arXiv<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/amazon-science\/ExTS\" target=\"_blank\" rel=\"noopener\">Amazon Science \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository \u03ba\u03b1\u03b9 implementation \u03c4\u03bf\u03c5 ExTS<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Artificial Intelligence Risk Management Framework \u03ba\u03b1\u03b9 Generative AI Profile<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf ExTS \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03ce\u03c2 \u03bf\u03b9 AI agents \u03ba\u03b1\u03c4\u03b1\u03bd\u03ad\u03bc\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf search budget \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03bd\u03ad\u03b1 branches \u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7, \u03bc\u03b5 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>","protected":false},"author":1,"featured_media":106443,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","footnotes":""},"categories":[199],"tags":[6809,6506,7565,9376,21040],"class_list":["post-98376","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-agentic-search","tag-ai-agents","tag-artificial-intelligence-2","tag-llm-optimization","tag-monte-carlo-tree-search-2"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/98376","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/comments?post=98376"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/98376\/revisions"}],"predecessor-version":[{"id":106444,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/98376\/revisions\/106444"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/media\/106443"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/media?parent=98376"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/categories?post=98376"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/tags?post=98376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}