{"id":97020,"date":"2026-09-11T11:03:52","date_gmt":"2026-09-11T08:03:52","guid":{"rendered":"https:\/\/twodots.gr\/?p=97020"},"modified":"2026-09-11T11:03:52","modified_gmt":"2026-09-11T08:03:52","slug":"ai-protein-binder-shortlisting-llm","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/ai-protein-binder-shortlisting-llm\/","title":{"rendered":"AI \u03ba\u03b1\u03b9 protein binder design: \u03c0\u03ce\u03c2 \u03c4\u03b1 LLMs \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03bf\u03c5\u03bd \u03c4\u03bf\u03c5\u03c2 \u03c0\u03b9\u03bf \u03c5\u03c0\u03bf\u03c3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5\u03c2 \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03bf\u03c5\u03c2"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a3\u03c4\u03bf AI protein binder shortlisting, \u03c4\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c7\u03b8\u03bf\u03cd\u03bd \u03c0\u03bf\u03bb\u03bb\u03bf\u03af \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf\u03b9 \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bf\u03cd\u03bd \u03bf\u03b9 \u03bb\u03af\u03b3\u03bf\u03b9 \u03c0\u03bf\u03c5 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03c3\u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf.<\/strong> \u039c\u03b9\u03b1 \u03bd\u03ad\u03b1 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03c4\u03b1 LLMs \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c3\u03bf\u03c5\u03bd \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7\u03c2 \u03b1\u03c0\u03cc 17 \u03ae\u03b4\u03b7 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 proxy metrics, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 \u03c0\u03c1\u03c9\u03c4\u03b5\u0390\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7.<\/p>\n<p>\u03a4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ae\u03c4\u03b1\u03bd \u03bc\u03b5\u03c4\u03c1\u03b9\u03bf\u03c0\u03b1\u03b8\u03ad\u03c2: \u03c3\u03c4\u03bf held-out \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03b4\u03ad\u03ba\u03b1 targets, \u03bf \u03bc\u03ad\u03c3\u03bf\u03c2 \u03cc\u03c1\u03bf\u03c2 \u03c0\u03ad\u03bd\u03c4\u03b5 global iterative gpt-4o policies \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 Recall@10 0,589 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,571 \u03c4\u03bf\u03c5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5 single-feature baseline. \u0397 \u03b1\u03be\u03af\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ae policy \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7, \u03c3\u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03b1\u03c0\u03bb\u03ad\u03c2 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03c2 \u03b2\u03ac\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03c3\u03b1\u03c6\u03bf\u03cd\u03c2 validation budget.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#bottleneck-epilogi\">\u03a4\u03bf bottleneck \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae<\/a><\/li>\n<li><a href=\"#generator-agnostic-shortlisting\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 generator-agnostic shortlisting<\/a><\/li>\n<li><a href=\"#dekaepta-simata\">\u03a4\u03b1 17 \u03c3\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#dedomena-protokollo\">\u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/a><\/li>\n<li><a href=\"#tesseris-methodoi\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03b5\u03b4\u03af\u03bf<\/a><\/li>\n<li><a href=\"#top10-apotelesmata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03bf top-10<\/a><\/li>\n<li><a href=\"#erminefsimotita\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03c5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf hype<\/a><\/li>\n<li><a href=\"#policy-layer\">\u03a4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1: AI \u03c9\u03c2 policy layer<\/a><\/li>\n<li><a href=\"#marketing-ecommerce\">\u03a0\u03ce\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b1\u03c1\u03c7\u03ae \u03c3\u03b5 marketing \u03ba\u03b1\u03b9 e-commerce<\/a><\/li>\n<li><a href=\"#oria-isxyrismon\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03c9\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03ce\u03bd<\/a><\/li>\n<li><a href=\"#praktikos-elegxos\">\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 AI shortlisting pilot<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"bottleneck-epilogi\">\u03a4\u03bf bottleneck \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae<\/h2>\n<p>\u0397 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ae \u03bd\u03bf\u03b7\u03bc\u03bf\u03c3\u03cd\u03bd\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03c0\u03bb\u03ad\u03bf\u03bd \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bc\u03b5\u03b3\u03ac\u03bb\u03b5\u03c2 \u03b4\u03b5\u03be\u03b1\u03bc\u03b5\u03bd\u03ad\u03c2 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03c9\u03bd \u03c0\u03c1\u03c9\u03c4\u03b5\u03ca\u03bd\u03ce\u03bd \u03c0\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03bf\u03cd\u03bd \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03b2\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc \u03c3\u03c4\u03cc\u03c7\u03bf. \u0397 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03cc\u03bc\u03c9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03bc\u03b9\u03c3\u03cc \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2. \u0397 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7 \u03c3\u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae, \u03b1\u03c1\u03b3\u03ae \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7. \u0391\u03bd \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03b5\u03b9 \u03b4\u03ad\u03ba\u03b1 \u03c3\u03c7\u03ad\u03b4\u03b9\u03b1 \u03b1\u03c0\u03cc \u03b5\u03ba\u03b1\u03c4\u03bf\u03bd\u03c4\u03ac\u03b4\u03b5\u03c2 \u03ae \u03c7\u03b9\u03bb\u03b9\u03ac\u03b4\u03b5\u03c2, \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 pipeline \u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03c5\u03c4\u03ce\u03bd \u03c4\u03c9\u03bd \u03b4\u03ad\u03ba\u03b1.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 <em>Natural-Language-Guided Generator-Agnostic Shortlisting for Protein Binder Design<\/em> \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c3\u03c4\u03b5\u03bd\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf. \u0394\u03b5\u03bd \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03bd\u03ad\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2 \u03c0\u03c1\u03c9\u03c4\u03b5\u03ca\u03bd\u03ce\u03bd. \u039c\u03b5\u03bb\u03b5\u03c4\u03ac \u03c4\u03bf \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03b2\u03ae\u03bc\u03b1: \u03c0\u03ce\u03c2 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ae\u03b4\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 structural-confidence \u03ba\u03b1\u03b9 interface-quality scores \u03ce\u03c3\u03c4\u03b5 \u03bc\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ae shortlist \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03cc\u03c3\u03bf \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 binders.<\/p>\n<p>\u03a3\u03cd\u03b3\u03c7\u03c1\u03bf\u03bd\u03b1 workflows \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd generative backbone models \u03cc\u03c0\u03c9\u03c2 \u03c4\u03bf RFdiffusion, sequence designers \u03c4\u03b7\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1\u03c2 ProteinMPNN \u03ba\u03b1\u03b9 \u03c6\u03af\u03bb\u03c4\u03c1\u03b1 \u03b4\u03bf\u03bc\u03b9\u03ba\u03ae\u03c2 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2 \u03cc\u03c0\u03c9\u03c2 AlphaFold2, Boltz-2 \u03ba\u03b1\u03b9 Protenix. \u0397 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03c9\u03bd \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ad\u03c4\u03c3\u03b9 \u03c0\u03b9\u03bf \u03c0\u03c1\u03bf\u03c3\u03b9\u03c4\u03ae, \u03b1\u03bb\u03bb\u03ac \u03b7 wet-lab \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03ba\u03bb\u03b9\u03bc\u03b1\u03ba\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03c1\u03c5\u03b8\u03bc\u03cc. \u03a4\u03bf shortlisting \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ae \u03bf\u03c5\u03c1\u03ac \u03c4\u03b7\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2.<\/p>\n<p>\u03a4\u03bf \u03bc\u03bf\u03c4\u03af\u03b2\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03ce\u03c1\u03b9\u03bc\u03bf \u03ba\u03b1\u03b9 \u03ad\u03be\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b2\u03b9\u03bf\u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1: \u03c0\u03bf\u03bb\u03bb\u03ac leads \u03b1\u03bb\u03bb\u03ac \u03bb\u03af\u03b3\u03b5\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c0\u03bf\u03bb\u03bb\u03ac creatives \u03b1\u03bb\u03bb\u03ac \u03bc\u03b9\u03ba\u03c1\u03cc paid-test budget, \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bb\u03bb\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03b5\u03b9\u03b4\u03b9\u03ba\u03bf\u03cd. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c4\u03bf LLM \u03be\u03ad\u03c1\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cc\u03c2\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u00ab\u03c4\u03bf LLM \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03b5\u03af, \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03b8\u03b5\u03af \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af\u00bb.<\/p>\n<h2 id=\"generator-agnostic-shortlisting\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 generator-agnostic shortlisting<\/h2>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c0\u03b1\u03b3\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b4\u03b5\u03be\u03b1\u03bc\u03b5\u03bd\u03ae \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03c9\u03bd \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bd \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b3\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7. \u039c\u03b5 \u03b1\u03c5\u03c4\u03cc\u03bd \u03c4\u03bf\u03bd \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc, \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 generator \u03b4\u03b5\u03bd \u03c3\u03c5\u03b3\u03c7\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2. \u0397 \u03af\u03b4\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 pools \u03b1\u03c0\u03cc BindCraft, RFdiffusion, \u03b4\u03b9\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03ae \u03bc\u03b9\u03ba\u03c4\u03ad\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2, \u03b5\u03c6\u03cc\u03c3\u03bf\u03bd \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc panel \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd.<\/p>\n<p>\u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 target, \u03bc\u03b9\u03b1 policy \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03c4\u03b1 proxy scores \u03c3\u03b5 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1. \u039a\u03ac\u03b8\u03b5 sampled LLM policy \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c4\u03c1\u03af\u03b1 \u03ad\u03c9\u03c2 \u03c0\u03ad\u03bd\u03c4\u03b5 features \u03ba\u03b1\u03b9 \u03b1\u03ba\u03ad\u03c1\u03b1\u03b9\u03b1 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b2\u03ac\u03c1\u03b7 \u03b1\u03c0\u03cc 1 \u03ad\u03c9\u03c2 3. \u039f executor \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c4\u03b7 \u03c6\u03bf\u03c1\u03ac \u03cc\u03c0\u03bf\u03c5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b9\u03bc\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7, \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf pool, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 weighted sum \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c4\u03bf top-10.<\/p>\n<p>\u03a4\u03bf LLM \u03b4\u03b5\u03bd \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03b1 \u03c0\u03bf\u03b9\u03b1 \u03c0\u03c1\u03c9\u03c4\u03b5\u0390\u03bd\u03b7 \u00ab\u03c4\u03bf\u03c5 \u03b1\u03c1\u03ad\u03c3\u03b5\u03b9\u00bb \u03bf\u03cd\u03c4\u03b5 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b9\u03c2 held-out \u03b5\u03c4\u03b9\u03ba\u03ad\u03c4\u03b5\u03c2. \u03a0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1, \u03bf \u03bf\u03c0\u03bf\u03af\u03bf\u03c2 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03bd\u03c4\u03b5\u03c4\u03b5\u03c1\u03bc\u03b9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b8\u03b5\u03c9\u03c1\u03b7\u03b8\u03b5\u03af \u03b1\u03c0\u03cc \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf. \u0391\u03c5\u03c4\u03ae \u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03c3\u03c4\u03b7\u03bd <a href=\"https:\/\/twodots.gr\/cmb-04-ai-agent-anatheorisi-kritirion\/\">\u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03bd\u03b1\u03b8\u03b5\u03ce\u03c1\u03b7\u03c3\u03b7\u03c2 \u03ba\u03c1\u03b9\u03c4\u03b7\u03c1\u03af\u03c9\u03bd \u03b1\u03c0\u03cc AI agents<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b9 \u03c0\u03c1\u03cc\u03c4\u03b5\u03b9\u03bd\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03c4\u03b9 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b5 \u03c4\u03bf harness \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf evidence \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 actor.<\/p>\n<p>\u03a4\u03bf generator-agnostic \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2. \u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf downstream \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03ac features \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc top-K budget. \u0397 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7, \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03bf\u03c5 candidate pool \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03c4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03c4\u03b7\u03b8\u03b5\u03af.<\/p>\n<h2 id=\"dekaepta-simata\">\u03a4\u03b1 17 \u03c3\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/h2>\n<p>\u03a4\u03bf feature panel \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 17 metrics \u03b1\u03c0\u03cc \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2. \u0391\u03c0\u03cc \u03c4\u03bf AF2-Multimer \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 ipTM, pTM, binder pLDDT \u03ba\u03b1\u03b9 interface PAE. \u0391\u03c0\u03cc \u03c4\u03bf Boltz-2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 ipTM, pTM, binder pLDDT, ipSAE \u03ba\u03b1\u03b9 pDockQ2. \u03a4\u03bf Protenix\/PXDesign \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 pair ipTM, complex pTM, binder ipTM, binder pTM \u03ba\u03b1\u03b9 binder pLDDT. \u03a4\u03bf Rosetta \u03c3\u03c5\u03bd\u03b5\u03b9\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 interface \u0394G, buried SASA \u03ba\u03b1\u03b9 shape complementarity.<\/p>\n<p>\u03a4\u03b1 signals \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03bb\u03b1 \u03b9\u03c3\u03bf\u03b4\u03cd\u03bd\u03b1\u03bc\u03b1. \u03a4\u03bf interface PAE \u03ba\u03b1\u03b9 \u03c4\u03bf Rosetta interface \u0394G \u03b5\u03af\u03bd\u03b1\u03b9 lower-is-better, \u03b5\u03bd\u03ce \u03c4\u03b1 confidence \u03ba\u03b1\u03b9 complementarity metrics \u03ad\u03c7\u03bf\u03c5\u03bd higher-is-better \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7. Scores \u03bc\u03b5 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 \u03bf\u03bd\u03cc\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 predictors \u03b4\u03b5\u03bd \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ac \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c4\u03bf\u03c5\u03c2. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03bf executor \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 within-pool normalization \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03b1\u03ba\u03b1\u03c4\u03ad\u03c1\u03b3\u03b1\u03c3\u03c4\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c3\u03b1\u03bd \u03bd\u03b1 \u03b5\u03af\u03c7\u03b1\u03bd \u03ba\u03bf\u03b9\u03bd\u03ae \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>Proxy \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 binding affinity:<\/strong> \u03c4\u03b1 17 features \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 complexes, confidence outputs \u03ba\u03b1\u03b9 interface descriptors. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b4\u03b5\u03c3\u03bc\u03b5\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae shortlist \u03c3\u03b5 \u03b2\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc ground truth.<\/p>\n<\/aside>\n<p>\u0393\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b5\u03be\u03b1\u03b3\u03c9\u03b3\u03ae \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd, \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af target-side multiple sequence alignment \u03cc\u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf, \u03b5\u03bd\u03ce \u03b7 de novo binder chain \u03bc\u03ad\u03bd\u03b5\u03b9 single-sequence \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03c6\u03c5\u03c3\u03b9\u03ba\u03bf\u03cd\u03c2 \u03bf\u03bc\u03bf\u03bb\u03cc\u03b3\u03bf\u03c5\u03c2. \u03a3\u03c4\u03b1 \u03ba\u03cd\u03c1\u03b9\u03b1 runs, \u03c4\u03bf AF2-Multimer \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03c1\u03af\u03b1 models \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 recycles. \u03a4\u03bf Boltz-2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c0\u03ad\u03bd\u03c4\u03b5 diffusion samples, \u03c4\u03c1\u03af\u03b1 recycling steps \u03ba\u03b1\u03b9 200 sampling steps. \u03a4\u03b1 templates \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b1.<\/p>\n<p>\u0397 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7\u03c2 \u03ba\u03ac\u03b8\u03b5 metric \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03ce\u03b4\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 AI workflow. \u03a7\u03c9\u03c1\u03af\u03c2 data lineage, \u03b7 policy \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7 \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03b5\u03af\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c3\u03c7\u03b7\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2, \u03b5\u03bb\u03bb\u03b9\u03c0\u03ae fields \u03ae \u03b1\u03c3\u03cd\u03bc\u03b2\u03b1\u03c4\u03b5\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b5\u03c2.<\/p>\n<h2 id=\"dedomena-protokollo\">\u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/h2>\n<p>\u03a4\u03bf development split \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 327 designs, 103 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 binders \u03ba\u03b1\u03b9 11 targets \u03b1\u03c0\u03cc \u03c4\u03bf BoltzGen. \u03a4\u03bf held-out evaluation \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2, \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03ac\u03bb\u03bb\u03c9\u03bd BindCraft revalidation, EGFR pools, pMHC minibinders, Nipah, RBX1 \u03ba\u03b1\u03b9 TREM2. \u039c\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc merging \u03b1\u03bd\u03ac target \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 sequence de-duplication, \u03c4\u03bf held-out \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 2.269 designs, 251 binders \u03ba\u03b1\u03b9 10 targets.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u0397 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c4\u03bf\u03c5 shortlisting benchmark<\/p>\n<p class=\"td-chart-subtitle\">\u0391\u03ba\u03c1\u03b9\u03b2\u03ae \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03c4\u03b7\u03c2 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7\u03c2 v2: development \u03ba\u03b1\u03b9 held-out pools \u03b5\u03af\u03bd\u03b1\u03b9 target-disjoint, \u03b5\u03bd\u03ce \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03bd\u03ac target \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c3\u03bf\u03c2 \u03cc\u03c1\u03bf\u03c2.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2.596<\/span><span class=\"td-metric-label\">\u03a3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac candidate designs<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">354<\/span><span class=\"td-metric-label\">\u03a0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf\u03b9 binders<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">21<\/span><span class=\"td-metric-label\">Targets \u03c3\u03b5 development \u03ba\u03b1\u03b9 held-out<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">17<\/span><span class=\"td-metric-label\">\u039a\u03bf\u03b9\u03bd\u03ac proxy features \u03b1\u03bd\u03ac candidate<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 target-disjoint: \u03c4\u03b1 \u03ad\u03bd\u03c4\u03b5\u03ba\u03b1 targets \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 held-out targets. \u03a4\u03bf K \u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03be\u03b1\u03c1\u03c7\u03ae\u03c2 \u03c3\u03b5 10. \u03a4\u03bf Recall@10 \u03b4\u03b9\u03b1\u03b9\u03c1\u03b5\u03af \u03bc\u03b5 \u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf 10 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03c4\u03c9\u03bd \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03bc\u03ad\u03bd\u03c9\u03bd binders \u03c4\u03bf\u03c5 target, \u03ce\u03c3\u03c4\u03b5 target \u03bc\u03b5 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 \u03b1\u03c0\u03cc \u03b4\u03ad\u03ba\u03b1 positives \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c6\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf 1,0 \u03b1\u03bd \u03b1\u03bd\u03b1\u03ba\u03c4\u03b7\u03b8\u03bf\u03cd\u03bd \u03cc\u03bb\u03bf\u03b9.<\/p>\n<p>\u03a4\u03bf Hit@10 \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03b5\u03b4\u03ce \u03bc\u03b5 Precision@10, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03c4\u03bf \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03bc\u03ad\u03bd\u03c9\u03bd binders \u03c3\u03c4\u03b9\u03c2 \u03b4\u03ad\u03ba\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b8\u03ad\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf NDCG@10 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03bf\u03b9 positives \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c8\u03b7\u03bb\u03ac \u03c3\u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac. \u039f\u03b9 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03b1\u03bd\u03ac candidate pool \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 target average, \u03cc\u03c7\u03b9 pooling \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd designs \u03c3\u03b1\u03bd \u03bd\u03b1 \u03b1\u03bd\u03ae\u03ba\u03b1\u03bd \u03c3\u03b5 \u03bc\u03af\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 temporal leakage audit. \u0393\u03b9\u03b1 \u03c4\u03bf gpt-4o-2024-11-20 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af cutoff 1 \u039f\u03ba\u03c4\u03c9\u03b2\u03c1\u03af\u03bf\u03c5 2023 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03bf gpt-5.4 cutoff 31 \u0391\u03c5\u03b3\u03bf\u03cd\u03c3\u03c4\u03bf\u03c5 2025. \u03a4\u03bf subset Nipah, RBX1 \u03ba\u03b1\u03b9 TREM2 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 candidate pools \u03ba\u03b1\u03b9 experimental labels \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf cutoff. \u0391\u03c5\u03c4\u03cc \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf \u03b1\u03c0\u03bf\u03bc\u03bd\u03b7\u03bc\u03cc\u03bd\u03b5\u03c5\u03c3\u03b7\u03c2, \u03b1\u03bb\u03bb\u03ac \u03bf\u03b9 \u03af\u03b4\u03b9\u03bf\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b5\u03bd \u03c4\u03bf \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c9\u03c2 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03c0\u03bf\u03c5\u03c3\u03af\u03b1\u03c2 leakage.<\/p>\n<p>\u0397 \u03c0\u03c1\u03bf\u03c3\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 splits \u03ba\u03b1\u03b9 provenance \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03cc\u03c2 \u03c0\u03b1\u03c1\u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03c4\u03ae\u03c2 \u03bc\u03b5 \u03ac\u03bb\u03bb\u03b1 benchmarks, \u03cc\u03c0\u03c9\u03c2 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/flavourbench-axiopisti-axiologisi-ai\/\">FlavourBench \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b9\u03bc\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 AI<\/a>: \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 claim \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c4\u03b9 \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b5\u03ba\u03c4\u03cc\u03c2 \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 dataset.<\/p>\n<h2 id=\"tesseris-methodoi\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03b5\u03b4\u03af\u03bf<\/h2>\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03bc\u03b5 fixed heuristics \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03c4\u03ac\u03c3\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf\u03c5\u03c2 \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03bf\u03c5\u03c2 \u03b2\u03ac\u03c3\u03b5\u03b9 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03cc\u03bd\u03bf score, \u03cc\u03c0\u03c9\u03c2 AF2 ipTM, Boltz-2 pDockQ2 \u03ae Protenix binder ipTM. \u03a3\u03c5\u03bd\u03b5\u03c7\u03af\u03b6\u03b5\u03b9 \u03bc\u03b5 supervised baselines, logistic regression \u03ba\u03b1\u03b9 XGBoost, \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf panel. \u0391\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03c2 \u03b2\u03ac\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2: \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03ad\u03c2, \u03bc\u03b9\u03b1 LLM policy \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2.<\/p>\n<p>\u039f\u03b9 LLM policies \u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 global \u03ba\u03b1\u03b9 target-conditioned. \u0397 global policy \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03ad\u03bd\u03b1\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03b3\u03b9\u03b1 \u03cc\u03bb\u03b1 \u03c4\u03b1 held-out targets. \u0397 target-conditioned policy \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03bc\u03b7 \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5 \u03c4\u03c1\u03ad\u03c7\u03bf\u03bd\u03c4\u03bf\u03c2 candidate pool \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03b3\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc. \u039f\u03b9 iterative \u03b5\u03ba\u03b4\u03bf\u03c7\u03ad\u03c2 \u03c0\u03b1\u03af\u03c1\u03bd\u03bf\u03c5\u03bd aggregate feedback \u03b1\u03c0\u03cc policy search \u03c3\u03c4\u03bf development set, \u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b1 held-out labels.<\/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\">Single-feature rule<\/p>\n<p>\u039a\u03b1\u03c4\u03b1\u03c4\u03ac\u03c3\u03c3\u03b5\u03b9 \u03cc\u03bb\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5\u03c2 candidates \u03bc\u03b5 \u03ad\u03bd\u03b1 predictor-native score. \u0395\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03cc, \u03c6\u03b8\u03b7\u03bd\u03cc \u03ba\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03bf baseline.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">1 feature<\/span><span class=\"td-badge\">Fixed<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Supervised baseline<\/p>\n<p>\u039c\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c0\u03b5\u03c5\u03b8\u03b5\u03af\u03b1\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b1 development labels \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 17 features, \u03c7\u03c9\u03c1\u03af\u03c2 LLM policy synthesis.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">LR \u03ae XGBoost<\/span><span class=\"td-badge\">Labeled dev<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">LLM policy<\/p>\n<p>\u0395\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c4\u03c1\u03af\u03b1 \u03ad\u03c9\u03c2 \u03c0\u03ad\u03bd\u03c4\u03b5 features \u03ba\u03b1\u03b9 \u03b2\u03ac\u03c1\u03b7 1\u20133. \u039f deterministic executor \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c4\u03bf top-10.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Inspectable<\/span><span class=\"td-badge\">Top-K<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u039a\u03ac\u03b8\u03b5 LLM \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c3\u03bf\u03c2 \u03cc\u03c1\u03bf\u03c2 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 sampled policies. \u0391\u03c5\u03c4\u03cc \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7 run-to-run \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf averaging \u03c3\u03b5 \u03bd\u03ad\u03bf \u03b2\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc predictor. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b6\u03b7\u03c4\u03ac paired \u03ae matched baselines, \u03cc\u03c0\u03c9\u03c2 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 <a href=\"https:\/\/twodots.gr\/aces-ai-skill-evaluation-skill-lift\/\">skill lift \u03b3\u03b9\u03b1 AI agents<\/a>: \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ae\u03ba\u03b7 \u03c4\u03b7\u03c2 policy, \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 cases \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf budget.<\/p>\n<h2 id=\"top10-apotelesmata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03bf top-10<\/h2>\n<p>\u03a3\u03c4\u03bf held-out split \u03c4\u03c9\u03bd \u03b4\u03ad\u03ba\u03b1 targets, \u03c4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf single-feature baseline \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf Protenix binder ipTM \u03bc\u03b5 Recall@10 0,571, Hit@10 0,360 \u03ba\u03b1\u03b9 NDCG@10 0,525. \u039f \u03bc\u03ad\u03c3\u03bf\u03c2 \u03cc\u03c1\u03bf\u03c2 \u03c0\u03ad\u03bd\u03c4\u03b5 global iterative gpt-4o policies \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 Recall@10 0,589 \u03ba\u03b1\u03b9 Hit@10 0,404. \u0397 target-conditioned iterative \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03b5\u03af\u03c7\u03b5 \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf LLM NDCG@10, \u03c3\u03c4\u03bf 0,523.<\/p>\n<p>\u0397 \u03ac\u03bd\u03bf\u03b4\u03bf\u03c2 \u03c4\u03bf\u03c5 Recall@10 \u03b1\u03c0\u03cc 0,571 \u03c3\u03b5 0,589 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf, \u03b1\u03bb\u03bb\u03ac \u03bc\u03b9\u03ba\u03c1\u03ae. \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03c4\u03bf Protenix baseline \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ce\u03c2 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf NDCG@10 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 LLM \u03c4\u03b9\u03bc\u03ae \u03c3\u03c4\u03bf \u03b4\u03b5\u03ba\u03b1-target split. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u03cc\u03c4\u03b9 \u03c4\u03b1 LLMs \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03c4\u03bf\u03c5\u03c2 structural predictors \u03ae \u03cc\u03c4\u03b9 \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03bf\u03c5\u03bd \u03ba\u03ac\u03b8\u03b5 metric.<\/p>\n<p>\u03a3\u03c4\u03bf subset \u03c4\u03c9\u03bd \u03c4\u03c1\u03b9\u03ce\u03bd targets, \u03b7 target-conditioned iterative policy \u03c4\u03bf\u03c5 gpt-5.4 \u03b5\u03af\u03c7\u03b5 \u03c4\u03b7\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 LLM \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7: Recall@10 0,519, Hit@10 0,513 \u03ba\u03b1\u03b9 NDCG@10 0,583. \u03a4\u03b1 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac baselines \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf Protenix binder ipTM \u03bc\u03b5 0,504\/0,500\/0,506 \u03ba\u03b1\u03b9 \u03b7 logistic regression \u03bc\u03b5 0,507\/0,500\/0,503.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 competitive shortlisting, \u03cc\u03c7\u03b9 \u03b2\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7:<\/strong> \u03bf\u03b9 policies \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03bd\u03ad\u03bc\u03bf\u03c5\u03bd \u03b2\u03ac\u03c1\u03bf\u03c2 \u03c3\u03b5 \u03ae\u03b4\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 proxy signals. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 retrospective, target-averaged \u03ba\u03b1\u03b9 top-10\u00b7 \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 prospective wet-lab \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 policy.<\/p>\n<\/aside>\n<p>\u03a4\u03bf XGBoost \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b5 \u03b1\u03c3\u03c4\u03ac\u03b8\u03b5\u03b9\u03b1 \u03c3\u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc subset: \u03b1\u03c0\u03ad\u03b4\u03c9\u03c3\u03b5 \u03ba\u03b1\u03bb\u03ac \u03c3\u03c4\u03bf TREM2 \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b5\u03c0\u03ad\u03bb\u03b5\u03be\u03b5 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1\u03bd \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf binder \u03b3\u03b9\u03b1 Nipah \u03ae RBX1. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03b1\u03bd\u03c4\u03af\u03b2\u03b1\u03c1\u03bf \u03c3\u03c4\u03b7\u03bd \u03b9\u03b4\u03ad\u03b1 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf learned model \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03b1\u03c0\u03bb\u03cc predictor-native \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1.<\/p>\n<h2 id=\"erminefsimotita\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03c5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf hype<\/h2>\n<p>\u039f\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03bf\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c0\u03bf\u03b9\u03b1 metrics \u03b5\u03c0\u03b9\u03bb\u03ad\u03c7\u03b8\u03b7\u03ba\u03b1\u03bd \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c0\u03bf\u03b9\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2. \u03a3\u03c4\u03b9\u03c2 50 target-conditioned iterative gpt-4o policies \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 held-out split, \u03cc\u03bb\u03b5\u03c2 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b1\u03bd Boltz-2 ipTM \u03ba\u03b1\u03b9 Protenix pair ipTM, 40 \u03c0\u03b5\u03c1\u03b9\u03ad\u03bb\u03b1\u03b2\u03b1\u03bd Rosetta shape complementarity \u03ba\u03b1\u03b9 27 AF2 ipTM. \u0397 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 \u03b4\u03b9\u03b1\u03c3\u03c0\u03bf\u03c1\u03ac \u03c3\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 fields.<\/p>\n<p>\u03a3\u03b5 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf RBX1, \u03b7 target-conditioned iterative gpt-5.4 policy \u03ad\u03b4\u03c9\u03c3\u03b5 \u03b2\u03ac\u03c1\u03bf\u03c2 \u03c3\u03b5 Rosetta buried SASA, Protenix pair ipTM, Rosetta shape complementarity, Boltz-2 ipSAE, pDockQ2 \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03b1 confidence signals. \u0388\u03bd\u03b1\u03c2 \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b8\u03b5\u03c9\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7, \u03bd\u03b1 \u03b1\u03bc\u03c6\u03b9\u03c3\u03b2\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 term \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7.<\/p>\n<p>\u03a4\u03b1 group ablations \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7. \u0393\u03b9\u03b1 \u03c4\u03bf gpt-4o, \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 Protenix \u03c0\u03c1\u03bf\u03ba\u03ac\u03bb\u03b5\u03c3\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c0\u03c4\u03ce\u03c3\u03b7 Recall@10. \u0393\u03b9\u03b1 \u03c4\u03bf gpt-5.4, \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 Rosetta \u03ae Protenix \u03ae\u03c4\u03b1\u03bd \u03c0\u03b9\u03bf \u03b5\u03c0\u03b9\u03b6\u03ae\u03bc\u03b9\u03b1. \u0397 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 Boltz-2 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ce\u03c2 \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03b1 features \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03b4\u03b5\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03be\u03b1\u03bd\u03ac, \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd policy-dependence checks, \u03cc\u03c7\u03b9 \u03bc\u03bf\u03bd\u03bf\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae feature importance.<\/p>\n<p>\u0397 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03c5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03b4\u03ce \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae: \u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2, \u03b7 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 feature \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7, \u03c4\u03bf normalization \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03ba\u03b1\u03b9 \u03bf executor deterministic. \u0394\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03c4\u03b7 \u03b2\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ae \u03cc\u03c4\u03b9 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03b9\u03c4\u03b9\u03ce\u03b4\u03b5\u03b9\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7\u03c2.<\/p>\n<h2 id=\"policy-layer\">\u03a4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1: AI \u03c9\u03c2 policy layer<\/h2>\n<p>\u0393\u03b9\u03b1 \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03af\u03b5\u03c2 \u03b5\u03ba\u03c4\u03cc\u03c2 \u03b2\u03b9\u03bf\u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2, \u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2. \u03a0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ad\u03c7\u03bf\u03c5\u03bd \u03ac\u03c6\u03b8\u03bf\u03bd\u03bf\u03c5\u03c2 \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7\u03c2. \u03a4\u03bf \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c0\u03bf\u03b9\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c3\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9, \u03c0\u03bf\u03b9\u03bf top-K budget \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03bb\u03ae \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 baseline.<\/p>\n<p>\u0397 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 LLM \u03c3\u03b5 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b1 \u03c1\u03bf\u03ae \u03b4\u03b5\u03bd \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bd\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03bf\u03b8\u03b5\u03af \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03bd\u03b5\u03be\u03ad\u03bb\u03b5\u03b3\u03ba\u03c4\u03b7 \u03b5\u03be\u03bf\u03c5\u03c3\u03af\u03b1. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03c0\u03c1\u03bf\u03cb\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b1 signals. \u0388\u03bd\u03b1\u03c2 \u03bd\u03c4\u03b5\u03c4\u03b5\u03c1\u03bc\u03b9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc\u03c2 executor \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1, \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 fixed baselines \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03c3\u03c4\u03bf\u03bb\u03ae \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd raw \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c3\u03b5 \u03ad\u03bd\u03b1 prompt \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03b4\u03bf\u03c7\u03ae \u03bc\u03b9\u03b1\u03c2 \u03b1\u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c4\u03b7\u03c2 \u03bb\u03af\u03c3\u03c4\u03b1\u03c2. \u0397 policy layer \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af audit trail: input snapshot, \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 features, weights, \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 prompt, \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 executor, shortlist \u03ba\u03b1\u03b9 \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc outcome. \u03a7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf trace, \u03b7 \u00ab\u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03b7\u00bb policy \u03bc\u03ad\u03bd\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b9\u03bc\u03bf operational control.<\/p>\n<p>The <a href=\"https:\/\/twodots.gr\/intent-horizon-ai-guardrails-liv\/\">AI guardrails \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7<\/a> \u03c5\u03c0\u03b7\u03c1\u03b5\u03c4\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae: \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 scope, permissions, thresholds \u03ba\u03b1\u03b9 fallback \u03c0\u03c1\u03b9\u03bd \u03bc\u03b9\u03b1 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 \u03b4\u03b1\u03c0\u03b1\u03bd\u03b7\u03c1\u03ae \u03ae \u03bc\u03b7 \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1.<\/p>\n<h2 id=\"marketing-ecommerce\">\u03a0\u03ce\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b1\u03c1\u03c7\u03ae \u03c3\u03b5 marketing \u03ba\u03b1\u03b9 e-commerce<\/h2>\n<p>\u03a3\u03b5 e-commerce \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd, \u03bc\u03b9\u03b1 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b7 policy \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03c4\u03ac\u03c3\u03c3\u03b5\u03b9 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf merchandising \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ce\u03bd\u03c4\u03b1\u03c2 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 signals \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b9\u03b1\u03b8\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c0\u03b5\u03c1\u03b9\u03b8\u03ce\u03c1\u03b9\u03bf, \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ad\u03c2, conversion history \u03ba\u03b1\u03b9 \u03b5\u03c0\u03bf\u03c7\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1. \u03a3\u03c4\u03bf content marketing, \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b8\u03ad\u03bc\u03b1\u03c4\u03b1 \u03b1\u03be\u03af\u03b6\u03bf\u03c5\u03bd editorial \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2 search demand, \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ac\u03c6\u03b5\u03b9\u03b1, \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03c4\u03b5\u03c7\u03bd\u03bf\u03b3\u03bd\u03c9\u03c3\u03af\u03b1.<\/p>\n<p>\u0391\u03c5\u03c4\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b5\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b2\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2. \u0394\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03bf\u03cd\u03c4\u03b5 \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 weights. \u039c\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03ae: \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 generation \u03ba\u03b1\u03b9 selection, \u03ba\u03bf\u03b9\u03bd\u03cc feature contract, \u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf top-K, \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc baseline, held-out evaluation \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf validation.<\/p>\n<p>\u0388\u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03cc \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 drift. \u0391\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03c9\u03bd, campaigns \u03ae leads, \u03c4\u03bf within-pool normalization \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03c4\u03c9\u03bd \u03af\u03b4\u03b9\u03c9\u03bd weights. \u0397 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 tests \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/dynamic-context-scheduling-ai-agents-metavallomenos-kosmos\/\">dynamic context scheduling \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd<\/a>: \u03bc\u03b9\u03b1 policy \u03c0\u03bf\u03c5 \u03bb\u03b5\u03b9\u03c4\u03bf\u03cd\u03c1\u03b3\u03b7\u03c3\u03b5 \u03c7\u03b8\u03b5\u03c2 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03bf \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 \u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b1\u03cd\u03c1\u03b9\u03bf.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf pilot \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc validation budget \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03ae\u03b4\u03b7 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c7\u03b5\u03b9\u03c1\u03bf\u03ba\u03af\u03bd\u03b7\u03c4\u03b1. \u0391\u03bd \u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf\u03c2 AI \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b4\u03b5\u03bd \u03be\u03b5\u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03bf \u03b1\u03c0\u03bb\u03cc score \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03cc\u03b4\u03bf\u03c5\u03c2, \u03b7 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9. \u0391\u03bd \u03c4\u03bf \u03be\u03b5\u03c0\u03b5\u03c1\u03bd\u03ac, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 stress tests, rollback \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03b9\u03b4\u03b9\u03bf\u03ba\u03c4\u03b7\u03c3\u03af\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b7 shortlist \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2.<\/p>\n<h2 id=\"oria-isxyrismon\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03c9\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03ce\u03bd<\/h2>\n<p>\u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 retrospective: \u03bf\u03b9 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf\u03b9 \u03b5\u03af\u03c7\u03b1\u03bd \u03ae\u03b4\u03b7 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac labels \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03b1\u03bd \u03bc\u03b9\u03b1 policy \u03b8\u03b1 \u03b5\u03af\u03c7\u03b5 \u03c6\u03ad\u03c1\u03b5\u03b9 binders \u03c3\u03c4\u03bf top-10. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 prospective \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ae \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7 \u03bd\u03ad\u03b1\u03c2 \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b1\u03c2. \u03a4\u03bf target-conditioned setup \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03bc\u03b7 \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf held-out pool, \u03ac\u03c1\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b1 \u03b9\u03c3\u03bf\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf \u03bc\u03b5 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf \u03c0\u03bf\u03c5 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03ba\u03b1\u03bc\u03af\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03bd\u03ad\u03b1 \u03b4\u03b5\u03be\u03b1\u03bc\u03b5\u03bd\u03ae.<\/p>\n<p>\u03a4\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd\u03ac target \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03c3\u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf. \u03a4\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac single-score baselines \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf LLM \u03b1\u03bd\u03b1\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03bd\u03ad\u03bf\u03c5\u03c2 \u03b2\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03bf\u03cd\u03c2 \u03bd\u03cc\u03bc\u03bf\u03c5\u03c2, \u03cc\u03c4\u03b9 \u03c4\u03b1 proxy metrics \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 ground truth \u03ae \u03cc\u03c4\u03b9 \u03bc\u03b9\u03b1 policy \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b1 \u03c3\u03b5 \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf.<\/p>\n<div class=\"td-decision-band\">\n<div class=\"td-decision-band-content\">\n<p class=\"td-decision-band-kicker\">\u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc claim boundary<\/p>\n<p class=\"td-decision-band-title\">\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 policy \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03bc\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ae \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 Recall@10 \u2014 \u03cc\u03c7\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03bf protein design<\/p>\n<p>\u03a4\u03bf evidence \u03b1\u03c6\u03bf\u03c1\u03ac post-generation shortlisting \u03c3\u03b5 fixed retrospective pools, \u03bc\u03b5 17 proxies, top-10 budget \u03ba\u03b1\u03b9 target-averaged metrics. \u039a\u03ac\u03b8\u03b5 prospective \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03ad\u03bf wet-lab validation \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03ba\u03bb\u03b7\u03c1\u03bf\u03bd\u03bf\u03bc\u03b5\u03af \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c4\u03bf\u03c5 benchmark.<\/p>\n<\/div>\n<\/div>\n<p>\u0397 \u03c0\u03bf\u03bb\u03c5\u03ba\u03c1\u03b9\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ae \u03c3\u03ba\u03ad\u03c8\u03b7 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 metrics \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c0\u03ac\u03bd\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u038c\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/peace-framework-psifiakes-paremvaseis\/\">PEACE framework \u03b3\u03b9\u03b1 \u03c8\u03b7\u03c6\u03b9\u03b1\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2<\/a>, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03ba\u03ac\u03b8\u03b5 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf, \u03c0\u03bf\u03b9\u03bf\u03c2 \u03c4\u03bf \u03c3\u03c4\u03b1\u03b8\u03bc\u03af\u03b6\u03b5\u03b9, \u03c0\u03bf\u03b9\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b5\u03ba\u03c4\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03cd \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7.<\/p>\n<p>\u0397 \u03ce\u03c1\u03b9\u03bc\u03b7 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1\u03c2: \u00ab\u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae policy \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf benchmark\u00bb \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u00ab\u03c4\u03bf LLM \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 binders\u00bb. \u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7. \u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c4\u03b1 proxies, \u03c4\u03b1 splits, \u03c4\u03bf top-K \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03cc\u03c4\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7.<\/p>\n<h2 id=\"praktikos-elegxos\">\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 AI shortlisting pilot<\/h2>\n<p>\u0388\u03bd\u03b1 business pilot \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b5\u03b9\u03b8\u03b1\u03c1\u03c7\u03af\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03c4\u03b7 \u03b2\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc decision point, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf validation budget, \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac inputs \u03ba\u03b1\u03b9 baseline \u03c0\u03bf\u03c5 \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b8\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03c3\u03b5 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 LLM.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf AI shortlisting<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae shortlist \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 validation<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03cc\u03c3\u03bf\u03b9 candidates \u03b5\u03b9\u03c3\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9, \u03c0\u03cc\u03c3\u03bf\u03b9 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03bf\u03cd\u03bd \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc outcome \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03bf \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u03a0\u03b1\u03b3\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf feature contract<\/strong>\n<p>\u0394\u03b7\u03bb\u03ce\u03c3\u03c4\u03b5 \u03c0\u03b7\u03b3\u03ae, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03ae\u03bc\u03b1\u03bd\u03c3\u03b7, \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1, missing-value \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03ba\u03b1\u03b9 higher-is-better \u03ae lower-is-better \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 signal.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03b1\u03c0\u03bb\u03cc single-score baseline<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b9 \u03c0\u03b5\u03c4\u03c5\u03c7\u03b1\u03af\u03bd\u03b5\u03b9 \u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf\u03c2 \u03c5\u03c0\u03ac\u03c1\u03c7\u03c9\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf pool \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf top-K \u03c0\u03c1\u03b9\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03b5\u03c4\u03b5 LLM policy synthesis.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd policy \u03c3\u03b5 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf schema<\/strong>\n<p>\u0395\u03c0\u03b9\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03b3\u03bd\u03c9\u03c3\u03c4\u03ac features, \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03ba\u03b1\u03b9 deterministic execution. \u0391\u03c0\u03bf\u03c1\u03c1\u03af\u03c8\u03c4\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b1 fields, \u03b5\u03bb\u03b5\u03cd\u03b8\u03b5\u03c1\u03b1 thresholds \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u03a7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 development, held-out \u03ba\u03b1\u03b9 \u03c7\u03c1\u03cc\u03bd\u03bf<\/strong>\n<p>\u039c\u03b7\u03bd \u03b1\u03c6\u03ae\u03bd\u03b5\u03c4\u03b5 labels \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf prompt. \u03a0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03c4\u03b5 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03bc\u03b5\u03c4\u03b1\u03b3\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf test \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 drift \u03ae leakage.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 ranking \u03ba\u03b1\u03b9 \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc outcome<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 Recall@K, precision \u03ba\u03b1\u03b9 \u03b8\u03ad\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03bc\u03b5 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc downstream \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03c2 \u03ae \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u0394\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03c4\u03b5 human approval \u03ba\u03b1\u03b9 rollback<\/strong>\n<p>\u0391\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03c3\u03c4\u03b5 inputs, policy, executor version, shortlist \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1. \u03a0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03c4\u03b5 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae \u03c3\u03c4\u03bf baseline \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c5\u03c0\u03bf\u03b2\u03b1\u03b8\u03bc\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ae \u03c4\u03bf context \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf NIST AI Risk Management Framework \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03c3\u03b5 Govern, Map, Measure \u03ba\u03b1\u03b9 Manage. \u03a3\u03c4\u03bf shortlisting, \u03b1\u03c5\u03c4\u03cc \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03b1\u03c6\u03ae ownership, \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 decision context, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 baseline \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b7 policy \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bb\u03af\u03c3\u03c4\u03b1\u00b7 \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc outcome \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c3\u03c4\u03bf audit trail.<\/p>\n<p>\u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03ae \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ae: \u03c4\u03bf LLM \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1. \u0391\u03c5\u03c4\u03cc \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03bf\u03c1\u03b1\u03c4\u03bf\u03cd\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2, held-out \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03ba\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03bf\u03c5\u03c2 \u03bc\u03b5 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf AI demo \u03c3\u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf decision layer<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 shortlisting workflows \u03bc\u03b5 baselines, trace \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7<\/p>\n<p>\u0397 TWO DOTS \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03bc\u03b5 AI \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 policies, deterministic \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 outcomes \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae fallback, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bd\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1\u03c2 candidate \u03c0\u03c1\u03bf\u03c9\u03b8\u03ae\u03b8\u03b7\u03ba\u03b5.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c5\u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf AI workflow \u03c3\u03b1\u03c2<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 protein binder;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03c0\u03c1\u03c9\u03c4\u03b5\u0390\u03bd\u03b7 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03ae \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03bc\u03bf\u03c1\u03b9\u03b1\u03ba\u03cc \u03c3\u03c4\u03cc\u03c7\u03bf. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03ae\u03b4\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03bc\u03ad\u03bd\u03c9\u03bd \u03c5\u03c0\u03bf\u03c8\u03b7\u03c6\u03af\u03c9\u03bd, \u03cc\u03c7\u03b9 \u03c4\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03c4\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03c1\u03cc\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 LLM \u03c3\u03c4\u03bf shortlisting;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf LLM \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 ranking policies \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03bf\u03c5\u03bd \u03c4\u03c1\u03af\u03b1 \u03ad\u03c9\u03c2 \u03c0\u03ad\u03bd\u03c4\u03b5 features \u03ba\u03b1\u03b9 \u03b2\u03ac\u03c1\u03b7 1\u20133. \u0388\u03bd\u03b1\u03c2 deterministic executor \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03c3\u03c4\u03bf candidate pool.<\/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 generator-agnostic;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03ae\u03b4\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03b1 candidate pools \u03bc\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc feature panel, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf downstream shortlisting \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 generator.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 17 features;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae AF2-Multimer, Boltz-2, Protenix\/PXDesign \u03ba\u03b1\u03b9 Rosetta \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac structural-confidence \u03ba\u03b1\u03b9 interface-quality proxies \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039e\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03c4\u03bf LLM \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03ac\u03bb\u03bb\u03b5\u03c2 \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0397 global iterative gpt-4o policy \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 Recall@10 0,589 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,571 \u03c4\u03bf\u03c5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5 single-feature baseline, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03ae\u03c4\u03b1\u03bd \u03bc\u03b9\u03ba\u03c1\u03cc \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03ba\u03ac\u03bb\u03c5\u03c8\u03b5 \u03ba\u03ac\u03b8\u03b5 metric \u03ae target.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b1 proxy scores \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0395\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac signals \u03b1\u03c0\u03cc \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b4\u03bf\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 confidence outputs. \u0397 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf ground truth.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b7 \u03b3\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b9\u03bc\u03bf decision layer \u03c3\u03b5 retrospective \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03cc\u03c7\u03b9 \u03b1\u03bd\u03b5\u03be\u03ad\u03bb\u03b5\u03b3\u03ba\u03c4\u03b7 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 predictors, baselines, \u03b5\u03b9\u03b4\u03b9\u03ba\u03ce\u03bd \u03ae prospective wet-lab validation.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03b1 LLMs \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 metrics \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf validation budget \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03c4\u03c9\u03bd candidates, \u03bc\u03b5 baseline, audit trail \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20755\" target=\"_blank\" rel=\"noopener\">Lee et al. \u2014 Natural-Language-Guided Generator-Agnostic Shortlisting for Protein Binder Design, arXiv v2 metadata<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/html\/2608.20755v2\" target=\"_blank\" rel=\"noopener\">Lee et al. \u2014 \u03a0\u03bb\u03ae\u03c1\u03b5\u03c2 HTML paper \u03bc\u03b5 datasets, policy protocol, \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 appendices<\/a><\/li>\n<li><a href=\"https:\/\/www.nature.com\/articles\/s41586-025-09429-6\" target=\"_blank\" rel=\"noopener\">Pacesa et al. \u2014 One-shot design of functional protein binders with BindCraft, Nature<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/artificial-intelligence-risk-management-framework-ai-rmf-10\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Artificial Intelligence Risk Management Framework 1.0<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\/nist-ai-rmf-playbook\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI RMF Playbook \u03b3\u03b9\u03b1 Govern, Map, Measure \u03ba\u03b1\u03b9 Manage<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u039c\u03b9\u03b1 \u03bd\u03ad\u03b1 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03ce\u03c2 \u03c4\u03b1 LLMs \u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b3\u03b9\u03b1 protein binder shortlisting \u03ba\u03b1\u03b9 \u03c0\u03bf\u03cd \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03b7 \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd proxy metrics.<\/p>","protected":false},"author":1,"featured_media":97664,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[20331,17733,19316,20332,20333],"class_list":["post-97020","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-sti-viologia","tag-decision-intelligence","tag-llm-agents","tag-protein-design","tag-viopliroforiki"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97020","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=97020"}],"version-history":[{"count":2,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97020\/revisions"}],"predecessor-version":[{"id":97666,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97020\/revisions\/97666"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/97664"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=97020"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=97020"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=97020"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}