{"id":88436,"date":"2026-08-08T08:12:03","date_gmt":"2026-08-08T05:12:03","guid":{"rendered":"https:\/\/twodots.gr\/?p=88436"},"modified":"2026-08-08T08:12:03","modified_gmt":"2026-08-08T05:12:03","slug":"doctoragents-automl-mnimi-roloi-stochevmeni-veltiosi","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/doctoragents-automl-mnimi-roloi-stochevmeni-veltiosi\/","title":{"rendered":"DoctorAgents: \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf AutoML \u03b1\u03c0\u03bf\u03ba\u03c4\u03ac \u03bc\u03bd\u03ae\u03bc\u03b7, \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf DoctorAgents \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf AutoML \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ad\u03c2, \u03c3\u03c5\u03c7\u03bd\u03ac \u03c4\u03c5\u03c6\u03bb\u03ad\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03c3\u03b5 stateful \u03ba\u03cd\u03ba\u03bb\u03bf \u03ad\u03be\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03c9\u03bd agents.<\/strong> \u039a\u03ac\u03b8\u03b5 iteration \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9, \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9, \u03b5\u03bd\u03ce \u03c4\u03bf feedback \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b1\u03bd\u03b1\u03b3\u03ad\u03bd\u03bd\u03b7\u03c3\u03b7. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ac \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac temporal datasets, \u03b1\u03bb\u03bb\u03ac \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 preprint \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc \u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#mikra-chronika-dedomena-automl\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ac \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03bf\u03c5\u03bd \u03c4\u03bf AutoML<\/a><\/li>\n<li><a href=\"#reasoning-anti-brute-force\">\u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1: \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03bc\u03b5 reasoning \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 brute force<\/a><\/li>\n<li><a href=\"#exi-roloi-doctoragents\">\u039f\u03b9 \u03ad\u03be\u03b9 \u03c1\u03cc\u03bb\u03bf\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf DoctorAgents<\/a><\/li>\n<li><a href=\"#textual-gradient-descent\">Textual gradient descent \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc gradient \u03c3\u03c4\u03bf\u03bd \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1<\/a><\/li>\n<li><a href=\"#mnimi-statherotita\">\u0397 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03c9\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#doctoragents-ds\">\u0397 domain-specific \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 preprocessing \u03ba\u03b1\u03b9 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf<\/a><\/li>\n<li><a href=\"#klinika-benchmarks\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac benchmarks<\/a><\/li>\n<li><a href=\"#task-specific-charaktiristika\">\u0395\u03c1\u03bc\u03b7\u03bd\u03b5\u03c5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03ad\u03c3\u03c9 task-specific \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd<\/a><\/li>\n<li><a href=\"#mathimata-omades-ai-data\">\u03a4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03bf\u03b9 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 AI \u03ba\u03b1\u03b9 data<\/a><\/li>\n<li><a href=\"#oria-doctoragents\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03bf\u03bd\u03c4\u03b1\u03b9<\/a><\/li>\n<li><a href=\"#symperasma-automl-mathisi\">\u03a3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1: \u03c4\u03bf AutoML \u03c9\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7\u03c2<\/a><\/li>\n<\/ul>\n<\/div>\n<p>\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 AutoML \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03c4\u03c5\u03c6\u03bb\u03ac \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c1\u03c7\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b8\u03c5\u03bc\u03ac\u03c4\u03b1\u03b9 \u03c4\u03b9 \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b5, \u03bd\u03b1 \u03b1\u03b9\u03c4\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c4\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9; \u0397 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 <em>DoctorAgents<\/em> \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7: \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03b7\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2, \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7, \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03af\u03bc\u03bf\u03bd\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b5\u03b4\u03af\u03bf \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b7\u03c4\u03b9\u03ba\u03cc. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ac, \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03c4\u03b9\u03b3\u03bc\u03ae \u03bc\u03b9\u03b1\u03c2 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2, \u03b7 \u03b1\u03c0\u03bf\u03c5\u03c3\u03af\u03b1 \u03c4\u03b7\u03c2 \u03ae \u03b7 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03ae \u03c4\u03b7\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf \u03bd\u03cc\u03b7\u03bc\u03ac \u03c4\u03b7\u03c2. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03cc \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd. \u03a0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd \u03ad\u03bd\u03b1 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc framework \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03ba\u03b1\u03b9 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 pipelines machine learning.<\/p>\n<h2 id=\"mikra-chronika-dedomena-automl\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ac \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03bf\u03c5\u03bd \u03c4\u03bf AutoML<\/h2>\n<p>\u0388\u03bd\u03b1 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc \u03b1\u03c1\u03c7\u03b5\u03af\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03ad\u03bd\u03b1\u03c2 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03cc\u03c2 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1\u03c2 \u03bc\u03b5 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd timestamps. \u039f\u03b9 \u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af\u03c2 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1, \u03b5\u03bd\u03ce \u03bf\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c3\u03cd\u03b3\u03c7\u03c1\u03bf\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03bb\u03bb\u03b9\u03c0\u03b5\u03af\u03c2. \u0397 \u03af\u03b4\u03b9\u03b1 \u03c4\u03b9\u03bc\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf \u03c0\u03cc\u03c4\u03b5 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b7\u03ba\u03b5, \u03c0\u03cc\u03c3\u03bf \u03c0\u03c1\u03cc\u03c3\u03c6\u03b1\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c0\u03bf\u03c1\u03b5\u03af\u03b1 \u03c0\u03c1\u03bf\u03b7\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5.<\/p>\n<p>\u0397 \u03b1\u03c0\u03bb\u03ae \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7 \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03cc vector \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac, \u03c4\u03bf\u03bd \u03c1\u03c5\u03b8\u03bc\u03cc \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2, \u03c4\u03b7 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bc\u03bf\u03bd\u03ae \u03b5\u03bd\u03cc\u03c2 \u03c3\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u0391\u03c0\u03cc \u03c4\u03b7\u03bd \u03ac\u03bb\u03bb\u03b7, \u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03ba\u03b1\u03c4\u03ad\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc \u03bf\u03c1\u03b9\u03c3\u03bc\u03cc observation window \u03ba\u03b1\u03b9 prediction time \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03b9\u03c3\u03b1\u03b3\u03ac\u03b3\u03b5\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b8\u03b1 \u03ae\u03c4\u03b1\u03bd \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03c4\u03b7 \u03c3\u03c4\u03b9\u03b3\u03bc\u03ae \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 leakage \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf.<\/p>\n<p>\u03a4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b4\u03bf\u03c3\u03b9\u03b1\u03ba\u03ac AutoML \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd preprocessing, \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ba\u03b1\u03b9 hyperparameter search, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c5\u03c7\u03bd\u03ac \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03c7\u03ce\u03c1\u03bf\u03c5\u03c2 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b1\u03c5\u03c4\u03ae \u03b7 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03ba\u03bf\u03c3\u03c4\u03af\u03b6\u03b5\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac, \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03bb\u03af\u03b3\u03bf \u03c4\u03bf \u03b3\u03b9\u03b1\u03c4\u03af \u03bc\u03b9\u03b1\u03c2 \u03bb\u03cd\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c7\u03b5\u03b9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ce\u03c2 \u03c4\u03b9\u03c2 \u03bb\u03b5\u03c0\u03c4\u03ad\u03c2, task-specific \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b9\u03ba\u03c1\u03ce\u03bd temporal datasets.<\/p>\n<h2 id=\"reasoning-anti-brute-force\">\u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1: \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03bc\u03b5 reasoning \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 brute force<\/h2>\n<p>\u03a4\u03bf DoctorAgents \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 pipeline \u03c9\u03c2 stateful \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1. \u039e\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc metadata, \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03bb\u03cd\u03c3\u03b7, \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af \u03c4\u03bf\u03bd \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1, \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2. \u0397 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03ba\u03af\u03bd\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7\u00b7 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03cc\u03c3\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c4\u03b9 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ae \u03c7\u03b5\u03b9\u03c1\u03bf\u03c4\u03ad\u03c1\u03b5\u03c8\u03b5.<\/p>\n<p>\u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae. \u0391\u03bd \u03ad\u03bd\u03b1 pipeline \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03b7\u03bc\u03ad\u03bd\u03bf preprocessing \u03b2\u03ae\u03bc\u03b1 \u03b1\u03bb\u03bb\u03ac \u03b1\u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 framework \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c4\u03c1\u03bf\u03c0\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf. \u0388\u03c4\u03c3\u03b9 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03b1\u03bd\u03b1\u03b3\u03ad\u03bd\u03bd\u03b7\u03c3\u03b7 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b5\u03b9 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c4\u03b1 \u03bf\u03c0\u03bf\u03af\u03b1 \u03b5\u03af\u03c7\u03b1\u03bd \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9.<\/p>\n<p>\u0393\u03b9\u03b1 \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03b5\u03ba\u03c4\u03cc\u03c2 \u03c5\u03b3\u03b5\u03af\u03b1\u03c2, \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03b9\u03bf \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c1\u03c7\u03ae \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2: \u03ad\u03bd\u03b1 agentic workflow \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf \u03cc\u03c4\u03b1\u03bd \u03ba\u03ac\u03b8\u03b5 iteration \u03ad\u03c7\u03b5\u03b9 \u03bf\u03c1\u03b1\u03c4\u03cc input, \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae, \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7\u03c2. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03ad\u03ba\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c3\u03b5 marketing \u03ae e-commerce.<\/p>\n<p>\u0397 \u03b4\u03b9\u03ac\u03c3\u03c0\u03b1\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf\u03c5 workflow \u03c3\u03b5 \u03c3\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03ba\u03ac\u03b8\u03b5 \u03c1\u03cc\u03bb\u03bf\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf input \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf output. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf \u03b1\u03bd\u03b1\u03bb\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf <a href=\"https:\/\/twodots.gr\/multi-agent-ai-oria-omnigent-workflow\/\">multi-agent AI \u03bc\u03b5 \u03cc\u03c1\u03b9\u03b1, permissions \u03ba\u03b1\u03b9 validation<\/a>.<\/p>\n<h2 id=\"exi-roloi-doctoragents\">\u039f\u03b9 \u03ad\u03be\u03b9 \u03c1\u03cc\u03bb\u03bf\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf DoctorAgents<\/h2>\n<p>\u03a4\u03bf framework \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03b8\u03ad\u03c4\u03b5\u03b9 \u03cc\u03bb\u03b7 \u03c4\u03b7 \u03b4\u03bf\u03c5\u03bb\u03b5\u03b9\u03ac \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc prompt. \u03a7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c3\u03b5 \u03ad\u03be\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b2\u03ae\u03bc\u03b1 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u039f\u03b9 \u03ad\u03be\u03b9 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b5\u03c2 \u03c4\u03bf\u03c5 loop DoctorAgents<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u03a1\u03cc\u03bb\u03bf\u03c2 1<\/span><strong>Consultant: \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1<\/strong>\n<p>\u039c\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 metadata \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c3\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc task specification \u03bc\u03b5 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 preprocessing, \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03bb\u03bb\u03b9\u03c0\u03b5\u03af\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u03a1\u03cc\u03bb\u03bf\u03c2 2<\/span><strong>Generator: \u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03b7 \u03bb\u03cd\u03c3\u03b7<\/strong>\n<p>\u03a0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc end-to-end pipeline, \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c6\u03cc\u03c1\u03c4\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ad\u03c9\u03c2 \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u03a1\u03cc\u03bb\u03bf\u03c2 3<\/span><strong>Repairer: \u03b1\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1<\/strong>\n<p>\u039b\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 error traces \u03ae timeouts \u03ba\u03b1\u03b9 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b7 \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03af\u03b1 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03ac\u03c3\u03ba\u03bf\u03c0\u03b1 \u03c4\u03b7\u03bd \u03b1\u03bb\u03b3\u03bf\u03c1\u03b9\u03b8\u03bc\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u03a1\u03cc\u03bb\u03bf\u03c2 4<\/span><strong>Logger: \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03ce\u03b4\u03b7 diffs \u03c3\u03b5 preprocessing, \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 hyperparameters \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2, \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03b9 \u03b1\u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03c4\u03c9\u03c2 \u03cc\u03bb\u03bf \u03c4\u03bf raw output.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u03a1\u03cc\u03bb\u03bf\u03c2 5<\/span><strong>Evaluator: \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 correctness \u03ba\u03b1\u03b9 \u03b1\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b5\u03c2<\/strong>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c4\u03bf evaluation protocol, \u03c4\u03bf overfitting, \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 preprocessing \u03ba\u03b1\u03b9 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03c5\u03ba\u03b1\u03b9\u03c1\u03af\u03b5\u03c2 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u03a1\u03cc\u03bb\u03bf\u03c2 6<\/span><strong>Optimizer: \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2<\/strong>\n<p>\u039c\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf feedback \u03c3\u03b5 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c4\u03c1\u03bf\u03c0\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1, \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ce\u03bd\u03c4\u03b1\u03c2 \u03cc\u03c3\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03b5\u03af\u03c7\u03b1\u03bd \u03ae\u03b4\u03b7 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03c3\u03c4\u03bf pipeline.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf\u03bd Repairer \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd Optimizer \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1. \u039f \u03c0\u03c1\u03ce\u03c4\u03bf\u03c2 \u03b1\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7, \u03b5\u03bd\u03ce \u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03b5\u03c0\u03b9\u03b4\u03b9\u03ce\u03ba\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1. \u0388\u03bd\u03b1 pipeline \u03c0\u03bf\u03c5 \u03c4\u03c1\u03ad\u03c7\u03b5\u03b9 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c9\u03c3\u03c4\u03cc, leakage-safe \u03ae \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc.<\/p>\n<h2 id=\"textual-gradient-descent\">Textual gradient descent \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc gradient \u03c3\u03c4\u03bf\u03bd \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03bc\u03ad\u03bd\u03bf Textual Gradient Descent. \u039f \u03cc\u03c1\u03bf\u03c2 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc gradient \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf\u03bd \u03c0\u03b7\u03b3\u03b1\u03af\u03bf \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1. \u039f Evaluator \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 feedback \u03c3\u03b5 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c4\u03bf \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03b5 \u03b5\u03bd\u03c4\u03bf\u03bb\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03bf\u03b9\u03b1 \u03c4\u03bc\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 pipeline \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c9\u03b8\u03bf\u03cd\u03bd, \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03b1\u03b8\u03bf\u03cd\u03bd \u03ae \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b7\u03b8\u03bf\u03cd\u03bd.<\/p>\n<p>\u03a4\u03bf feedback \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac \u03bb\u03ac\u03b8\u03bf\u03c2 evaluation protocol, overfitting, \u03b1\u03bd\u03b5\u03c0\u03b1\u03c1\u03ba\u03ae preprocessing, \u03b1\u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf model family, hyperparameters \u03ae training procedure. \u039f Optimizer \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 localized updates \u03ba\u03b1\u03b9 \u03c4\u03bf \u03bd\u03ad\u03bf pipeline \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03be\u03b1\u03bd\u03ac. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c3\u03c4\u03bf\u03bd Logger \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03ba\u03cd\u03ba\u03bb\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u0397 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bc\u03b9\u03b1 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5: \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7, \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae, diff \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1. \u03a3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc production \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03b8\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03bd \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd approvals, tests \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7\u03c2. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc loop, \u03cc\u03c7\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae\u03c2 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2.<\/p>\n<p>\u0397 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03c7\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03c0\u03bb\u03ae \u03c3\u03c5\u03c3\u03c3\u03ce\u03c1\u03b5\u03c5\u03c3\u03b7 context. \u03a4\u03bf <a href=\"https:\/\/twodots.gr\/spark-techniti-noimosyni-xerei-apantisi-den-energopoiei-sosti-skepsi\/\">SPARK \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ae\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b8\u03b1 \u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9.<\/p>\n<h2 id=\"mnimi-statherotita\">\u0397 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03c9\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/h2>\n<p>\u03a7\u03c9\u03c1\u03af\u03c2 \u03b5\u03c0\u03af\u03bc\u03bf\u03bd\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7, \u03ad\u03bd\u03b1\u03c2 agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03af\u03c7\u03b5 \u03ae\u03b4\u03b7 \u03b4\u03b9\u03bf\u03c1\u03b8\u03c9\u03b8\u03b5\u03af \u03ae \u03bd\u03b1 \u03be\u03b1\u03bd\u03b1\u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b1\u03bd\u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae. \u039f Logger \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03cc\u03bb\u03bf \u03c4\u03bf raw output. \u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03ce\u03b4\u03b5\u03b9\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c3\u03b5 preprocessing, \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 hyperparameters \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7.<\/p>\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03b1\u03c0\u03b5\u03c1\u03b9\u03cc\u03c1\u03b9\u03c3\u03c4\u03b7 \u03c3\u03c5\u03c3\u03c3\u03ce\u03c1\u03b5\u03c5\u03c3\u03b7 context \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03b2\u03b1\u03b8\u03bc\u03af\u03c3\u03b5\u03b9 \u03c4\u03bf reasoning, \u03c4\u03bf DoctorAgents \u03ba\u03b1\u03b8\u03b1\u03c1\u03af\u03b6\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03c8\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf log \u03c3\u03b5 checkpoints, \u03cc\u03c0\u03c9\u03c2 \u03ba\u03ac\u03b8\u03b5 15 iterations \u03ae \u03cc\u03c4\u03b1\u03bd \u03c6\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf \u03cc\u03c1\u03b9\u03bf \u03c4\u03c9\u03bd 5.000 tokens. \u0394\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ae \u03c5\u03c0\u03bf\u03b2\u03b1\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c0\u03c1\u03cc\u03c3\u03c6\u03b1\u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd.<\/p>\n<p>\u03a4\u03bf ablation study \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c1\u03cc\u03bb\u03bf \u03c4\u03b7\u03c2 \u03bc\u03bd\u03ae\u03bc\u03b7\u03c2. \u03a3\u03c4\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2 \u03c3\u03c4\u03b7 \u039c\u0395\u0398, \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 0,255 validation AUPRC, \u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 Consultant \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 0,246 \u03ba\u03b1\u03b9 \u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 Memory \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 0,215. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b1\u03bd \u03cc\u03c4\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03bd \u03c0\u03c1\u03bf\u03c3\u03c9\u03c1\u03b9\u03bd\u03ad\u03c2 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd\u03c4\u03b1\u03bd \u03b1\u03c0\u03cc \u03ad\u03bd\u03c4\u03bf\u03bd\u03b7 \u03c0\u03c4\u03ce\u03c3\u03b7.<\/p>\n<p>\u039f\u03b9 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03bc\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b1\u03c0\u03cc feedback \u03c3\u03b5 code diff \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1. \u0391\u03c5\u03c4\u03cc \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agents-poios-ftaiei-otan-aftomatopoiisi-apotygchanei\/\">\u03c0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bc\u03b9\u03b1 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 AI \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9<\/a>: \u03ba\u03ac\u03b8\u03b5 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 owner, evidence \u03ba\u03b1\u03b9 rollback path.<\/p>\n<h2 id=\"doctoragents-ds\">\u0397 domain-specific \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 preprocessing \u03ba\u03b1\u03b9 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf<\/h2>\n<p>\u03a4\u03bf DoctorAgents-DS \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03bf pipeline \u03c3\u03b5 \u03b4\u03cd\u03bf \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2. \u039f\u03b9 Data Preprocessing agents \u03b5\u03c0\u03b9\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03bf\u03b9 Model Development agents \u03b5\u03be\u03b5\u03c1\u03b5\u03c5\u03bd\u03bf\u03cd\u03bd \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2. \u039a\u03ac\u03b8\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 Generator \u03ba\u03b1\u03b9 Evaluator.<\/p>\n<p>\u03a4\u03bf preprocessing pipeline \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b5\u03bc\u03c0\u03bb\u03bf\u03c5\u03c4\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2, metadata \u03bc\u03b5\u03c4\u03b1\u03c3\u03c7\u03b7\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf dataset. \u03a3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03bf model agent \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 feature importance \u03c0\u03bf\u03c5 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c3\u03c9 SHAP. \u039f\u03b9 \u03b4\u03cd\u03bf \u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b4\u03bf\u03c7\u03b9\u03ba\u03ac \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf optimization loop.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc\u03c2 \u03bf \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03cd\u03b3\u03c7\u03c5\u03c3\u03b7: \u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae classifier. \u03a3\u03b5 temporal data, \u03bf \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 \u03c0\u03bf\u03c5 \u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 recency, slopes, variability, observation counts \u03ba\u03b1\u03b9 missingness \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03be\u03af\u03c3\u03bf\u03c5 \u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc\u03c2.<\/p>\n<h2 id=\"klinika-benchmarks\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac benchmarks<\/h2>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03bf MIMIC-IV \u03ba\u03b1\u03b9 \u03bc\u03af\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ba\u03bf\u03cc\u03c1\u03c4\u03b7 EUPA \u03b3\u03b9\u03b1 \u03c1\u03b5\u03c5\u03bc\u03b1\u03c4\u03bf\u03b5\u03b9\u03b4\u03ae \u03b1\u03c1\u03b8\u03c1\u03af\u03c4\u03b9\u03b4\u03b1. \u039f\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ae\u03c4\u03b1\u03bd \u03b8\u03bd\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c4\u03b7 \u039c\u0395\u0398, \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae, \u03c0\u03b1\u03c1\u03b1\u03c4\u03b5\u03c4\u03b1\u03bc\u03ad\u03bd\u03b7 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1 \u03bd\u03bf\u03c3\u03b7\u03bb\u03b5\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c3\u03b5 \u03b8\u03b5\u03c1\u03b1\u03c0\u03b5\u03af\u03b1.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">\u03a4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 benchmarks \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc metric \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 task<\/p>\n<div class=\"td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--two\">\n<div class=\"td-platform-card\">\n<h3>\u0398\u03bd\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c4\u03b7 \u039c\u0395\u0398<\/h3>\n<p>4.763 \u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af\u03c2, 420 features \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c0\u03c1\u03ce\u03c4\u03b5\u03c2 48 \u03ce\u03c1\u03b5\u03c2 \u03c9\u03c2 observation window.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">MIMIC-IV<\/span><span class=\"td-badge\">AUPRC<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<h3>\u0395\u03c0\u03b1\u03bd\u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b7 \u039c\u0395\u0398<\/h3>\n<p>6.891 \u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af\u03c2, 482 features \u03ba\u03b1\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2 \u03b5\u03bd\u03c4\u03cc\u03c2 \u03b5\u03c0\u03c4\u03ac \u03b7\u03bc\u03b5\u03c1\u03ce\u03bd.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">MIMIC-IV<\/span><span class=\"td-badge\">AUPRC<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>\u03a0\u03b1\u03c1\u03b1\u03c4\u03b5\u03c4\u03b1\u03bc\u03ad\u03bd\u03b7 \u03bd\u03bf\u03c3\u03b7\u03bb\u03b5\u03af\u03b1<\/h3>\n<p>7.975 \u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af\u03c2, 399 features \u03ba\u03b1\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03bf\u03bd\u03ae\u03c2 \u03ac\u03bd\u03c9 \u03c4\u03c9\u03bd \u03c4\u03c1\u03b9\u03ce\u03bd \u03b7\u03bc\u03b5\u03c1\u03ce\u03bd \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03c0\u03c1\u03ce\u03c4\u03b5\u03c2 24 \u03ce\u03c1\u03b5\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">MIMIC-IV<\/span><span class=\"td-badge\">AUPRC<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<h3>\u0391\u03bd\u03c4\u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c3\u03b5 anti-TNF<\/h3>\n<p>105 \u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af\u03c2, 82 features \u03ba\u03b1\u03b9 1\u20139 \u03ad\u03c4\u03b7 \u03b1\u03c1\u03b1\u03b9\u03ce\u03bd longitudinal \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b8\u03b5\u03c1\u03b1\u03c0\u03b5\u03af\u03b1.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">EUPA<\/span><span class=\"td-badge\">AUROC<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"td-chart td-chart--metrics\">\n<p class=\"td-chart-title\">\u0397 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c4\u03bf\u03c5 DoctorAgents-DS \u03c3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 meta-test benchmarks<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 mean scores \u03b1\u03c0\u03cc stratified five-fold cross-validation \u03c4\u03b7\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7\u03c2 preprint \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03bf dataset \u03ae production \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd.<\/p>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">0,520<\/div>\n<div class=\"td-metric-label\">AUPRC \u03b8\u03bd\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/div>\n<p>\u0397 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03bf MIMIC-IV mortality task.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">0,212<\/div>\n<div class=\"td-metric-label\">AUPRC \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2<\/div>\n<p>\u039a\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b1 baselines \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 setup.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">0,704<\/div>\n<div class=\"td-metric-label\">AUPRC \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1\u03c2 \u03bd\u03bf\u03c3\u03b7\u03bb\u03b5\u03af\u03b1\u03c2<\/div>\n<p>\u03a4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf mean score \u03c3\u03c4\u03bf task \u03c0\u03b1\u03c1\u03b1\u03bc\u03bf\u03bd\u03ae\u03c2 \u03ac\u03bd\u03c9 \u03c4\u03c9\u03bd \u03c4\u03c1\u03b9\u03ce\u03bd \u03b7\u03bc\u03b5\u03c1\u03ce\u03bd.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">0,577<\/div>\n<div class=\"td-metric-label\">AUROC \u03b1\u03bd\u03c4\u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2<\/div>\n<p>\u0397 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03b7 \u03bc\u03b9\u03ba\u03c1\u03ae longitudinal \u03ba\u03bf\u03cc\u03c1\u03c4\u03b7 EUPA.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"td-article-note\">\n<p><strong>\u039f\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c0\u03c1\u03c9\u03c4\u03b9\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 preprint setup.<\/strong> \u038c\u03bb\u03b1 \u03c4\u03b1 agentic frameworks \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd GPT-5 \u03c9\u03c2 backbone, \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c0\u03ad\u03bd\u03c4\u03b5 folds \u03ba\u03b1\u03b9 \u03b7 \u03ba\u03bf\u03cc\u03c1\u03c4\u03b7 EUPA \u03b5\u03af\u03c7\u03b5 \u03bc\u03cc\u03bd\u03bf 105 \u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af\u03c2. \u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b5\u03c4\u03bf\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 framework.<\/p>\n<\/div>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03bf DoctorAgents-DS \u03b5\u03af\u03c7\u03b5 \u03c4\u03b7\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c4\u03b1 benchmarks. \u03a0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03c4\u03b7\u03bd \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 AUPRC \u03c3\u03c4\u03b9\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 MIMIC-IV \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 AUROC \u03c3\u03c4\u03b7 \u03bc\u03b9\u03ba\u03c1\u03ae longitudinal \u03ba\u03bf\u03cc\u03c1\u03c4\u03b7 RA. \u0391\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 datasets, splits, budgets \u03ba\u03b1\u03b9 baselines \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc dataset.<\/p>\n<p>\u0397 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 task-specific \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03b4\u03b5\u03bd \u03c7\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03c4\u03b7\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 <a href=\"https:\/\/twodots.gr\/afigimenoi-aitiakoi-kanones-aecr-systimata-ai\/\">\u03b1\u03c6\u03b7\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03b1\u03b9\u03c4\u03b9\u03b1\u03ba\u03bf\u03cd\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 AI<\/a>, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 provenance \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03c3\u03b5 \u03bd\u03ad\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2.<\/p>\n<h2 id=\"task-specific-charaktiristika\">\u0395\u03c1\u03bc\u03b7\u03bd\u03b5\u03c5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03ad\u03c3\u03c9 task-specific \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2. \u0395\u03be\u03ad\u03c4\u03b1\u03c3\u03b5 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5 \u03c4\u03bf DoctorAgents-DS. \u03a3\u03c4\u03b7 \u03b8\u03bd\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac features \u03c3\u03c5\u03bd\u03b4\u03cd\u03b1\u03b6\u03b1\u03bd \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03b9\u03bc\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2, \u03bd\u03b5\u03c5\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7\u03c2 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03ce\u03c4\u03b5\u03c2 48 \u03ce\u03c1\u03b5\u03c2.<\/p>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae, \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf \u03b5\u03be\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf, \u03cc\u03c0\u03c9\u03c2 \u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03c1\u03b4\u03b9\u03b1\u03ba\u03bf\u03cd \u03c1\u03c5\u03b8\u03bc\u03bf\u03cd \u03c3\u03c4\u03b9\u03c2 \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03b5\u03c2 \u03ad\u03be\u03b9 \u03ce\u03c1\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03ba\u03bb\u03af\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c0\u03bd\u03b5\u03c5\u03c3\u03c4\u03b9\u03ba\u03bf\u03cd \u03c1\u03c5\u03b8\u03bc\u03bf\u03cd. \u0393\u03b9\u03b1 \u03c4\u03b7 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1 \u03bd\u03bf\u03c3\u03b7\u03bb\u03b5\u03af\u03b1\u03c2, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03c0\u03c1\u03cc\u03c3\u03c6\u03b1\u03c4\u03b7\u03c2 \u03b1\u03bd\u03b1\u03c0\u03bd\u03b5\u03c5\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2, \u03bf\u03be\u03c5\u03b3\u03cc\u03bd\u03c9\u03c3\u03b7\u03c2, \u03bd\u03b5\u03c5\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 recency \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ce\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd.<\/p>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c1\u03b5\u03c5\u03bc\u03b1\u03c4\u03bf\u03b5\u03b9\u03b4\u03bf\u03cd\u03c2 \u03b1\u03c1\u03b8\u03c1\u03af\u03c4\u03b9\u03b4\u03b1\u03c2, \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c3\u03c5\u03bd\u03b4\u03cd\u03b1\u03b6\u03b5 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b5\u03c2, \u03c0\u03c1\u03cc\u03c3\u03c6\u03b1\u03c4\u03b7 \u03b4\u03c1\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03cc\u03c3\u03bf\u03c5, \u03b4\u03b9\u03b1\u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b8\u03b5\u03c1\u03b1\u03c0\u03b5\u03af\u03b1\u03c2. \u03a4\u03bf \u03bf\u03c5\u03c3\u03b9\u03ce\u03b4\u03b5\u03c2 \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03c6\u03ac\u03c1\u03bc\u03bf\u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf preprocessing template \u03c3\u03b5 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-label\">\u03a4\u03bf production gate \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 agentic AutoML workflow<\/p>\n<p><strong>\u0388\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf validation score \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b1\u03bd \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af\u03c4\u03b5 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ac\u03b3\u03b5\u03c4\u03b5 \u03c4\u03bf split, \u03c4\u03bf diff \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1, \u03c4\u03bf metric \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03ad\u03bb\u03b5\u03be\u03b5 \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7.<\/strong><\/p>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc evaluation protocol, sandboxed execution, \u03cc\u03c1\u03b9\u03b1 \u03c0\u03cc\u03c1\u03c9\u03bd, approvals \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, audit trail \u03ba\u03b1\u03b9 rollback. \u0394\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf repair \u03b1\u03c0\u03cc \u03c4\u03bf optimization \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b5\u03af\u03bb\u03c4\u03b5 \u03b1\u03b2\u03ad\u03b2\u03b1\u03b9\u03b1 \u03ae high-impact \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf.<\/p>\n<\/div>\n<p>\u03a0\u03c1\u03b9\u03bd \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 agentic \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03bf\u03cd\u03bd retrieval, actions, identity \u03ba\u03b1\u03b9 leakage \u03c9\u03c2 \u03ad\u03bd\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u03a4\u03bf <a href=\"https:\/\/twodots.gr\/rail-ai-4-erotimata-prin-tin-paragogi\/\">\u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf RAIL \u03b3\u03b9\u03b1 AI<\/a> \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c4\u03c1\u03cc\u03c0\u03bf \u03bd\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03c9\u03b8\u03bf\u03cd\u03bd \u03b1\u03c5\u03c4\u03ac \u03c4\u03b1 gates.<\/p>\n<h2 id=\"mathimata-omades-ai-data\">\u03a4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03bf\u03b9 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 AI \u03ba\u03b1\u03b9 data<\/h2>\n<p>\u0397 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7. \u039f agent \u03c0\u03bf\u03c5 \u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03c4\u03bf\u03c5. \u0397 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ad\u03c4\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae. \u0397 \u03c4\u03c1\u03af\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc artifact \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 e-commerce \u03ae marketing analytics, \u03ad\u03bd\u03b1 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03bf workflow \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03ac \u03bd\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac forecasting, propensity models \u03ae segmentation pipelines. \u038c\u03bc\u03c9\u03c2 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b5 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b5\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2. \u0397 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae: \u03c3\u03b1\u03c6\u03ad\u03c2 task specification, leakage checks, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2, reproducible evaluation, persistent memory \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc production.<\/p>\n<p>\u0395\u03b9\u03b4\u03b9\u03ba\u03ac \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ac datasets, \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 validation metric \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac splits, \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf metric, uncertainty analysis \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03ba\u03bc\u03b5\u03c4\u03b1\u03bb\u03bb\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c4\u03c5\u03c7\u03b1\u03af\u03b5\u03c2 \u03b9\u03b4\u03b9\u03b1\u03b9\u03c4\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03bf\u03c2. \u03a4\u03bf DoctorAgents \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 reasoning \u03ba\u03b1\u03b9 \u03bc\u03bd\u03ae\u03bc\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ba\u03b1\u03c4\u03b1\u03c1\u03b3\u03b5\u03af \u03c4\u03b9\u03c2 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7\u03c2.<\/p>\n<p>\u0397 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03bc\u03b5 plugins \u03ba\u03b1\u03b9 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03bc\u03b5\u03b3\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7\u03c2. \u03a3\u03c4\u03bf \u03ac\u03c1\u03b8\u03c1\u03bf \u03b3\u03b9\u03b1 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-stin-ekpaidefsi-chatgpt-codex-plugins\/\">plugins \u03c4\u03bf\u03c5 ChatGPT \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 Codex \u03c3\u03b5 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b9\u03bc\u03b1 workflows<\/a>, \u03c4\u03b1 permissions, \u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b3\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf.<\/p>\n<h2 id=\"oria-doctoragents\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03bf\u03bd\u03c4\u03b1\u03b9<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 preprint \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2. \u0397 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03bd\u03cc\u03c2 predictive pipeline \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc AUPRC \u03ae AUROC. \u0391\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7, \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 calibration, \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ce\u03bd \u03c3\u03c4\u03b7 \u03c1\u03bf\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 fairness \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7.<\/p>\n<p>\u0395\u03c0\u03af\u03c3\u03b7\u03c2, \u03c4\u03b1 LLM-based evaluations \u03ba\u03b1\u03b9 \u03bf\u03b9 generated features \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b5\u03c0\u03b9\u03b8\u03b5\u03ce\u03c1\u03b7\u03c3\u03b7. \u0397 \u03cd\u03c0\u03b1\u03c1\u03be\u03b7 readable code \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ce\u03bd \u03b2\u03bf\u03b7\u03b8\u03ac \u03c4\u03b7\u03bd \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03b1\u03b9\u03c4\u03b9\u03ce\u03b4\u03b7\u03c2 \u03ae \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b3\u03b9\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/p>\n<p>\u0386\u03c1\u03b1 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 agents \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd data scientists \u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b5\u03b9\u03b4\u03b9\u03ba\u03bf\u03cd\u03c2. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 pipeline \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03c9\u03b8\u03b5\u03af \u03c9\u03c2 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03ba\u03cd\u03ba\u03bb\u03bf\u03c2 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03c9\u03bd \u03c1\u03cc\u03bb\u03c9\u03bd, feedback, \u03bc\u03bd\u03ae\u03bc\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7\u03c2, \u03bc\u03b5 \u03c4\u03bf\u03c5\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03bf\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7.<\/p>\n<h2 id=\"symperasma-automl-mathisi\">\u03a3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1: \u03c4\u03bf AutoML \u03c9\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7\u03c2<\/h2>\n<p>\u03a4\u03bf DoctorAgents \u03b5\u03c0\u03b1\u03bd\u03b1\u03c0\u03c1\u03bf\u03c3\u03b4\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf AutoML \u03c9\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b8\u03c5\u03bc\u03ac\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9. \u039f Consultant \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c6\u03b5\u03c4\u03b7\u03c1\u03af\u03b1, \u03bf Generator \u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03bf pipeline, \u03bf Repairer \u03b1\u03c0\u03bf\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7, \u03bf Evaluator \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 \u03b1\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b5\u03c2, \u03bf Optimizer \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bf Logger \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c4\u03b7\u03bd \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1 \u03c4\u03c9\u03bd \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd.<\/p>\n<p>\u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03bf \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc\u03c2 \u03b1\u03c5\u03c4\u03ce\u03bd \u03c4\u03c9\u03bd \u03c1\u03cc\u03bb\u03c9\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc\u03c2 \u03c3\u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ac temporal clinical datasets \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03c3\u03c5\u03bc\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7\u03c2. \u0397 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03c0\u03b5\u03b9\u03b8\u03b1\u03c1\u03c7\u03af\u03b1: \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03c5\u03c6\u03bb\u03ae \u03b1\u03bd\u03b1\u03b3\u03ad\u03bd\u03bd\u03b7\u03c3\u03b7, \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-eyebrow\">Business Automation &amp; AI by TWO DOTS<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 agentic workflows \u03c0\u03bf\u03c5 \u03b8\u03c5\u03bc\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b9 \u03ac\u03bb\u03bb\u03b1\u03be\u03b5, \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03bf\u03cd\u03bd \u03bc\u03b5 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1.<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2, \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1, permissions, evaluation gates, audit trails \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 iteration \u03b5\u03bd\u03cc\u03c2 AI workflow \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ce\u03b3\u03b9\u03bc\u03bf \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03bf.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">Check out Business Automation &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf DoctorAgents;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc multi-agent framework \u03c0\u03bf\u03c5 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af, \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af, \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03ba\u03b1\u03b9 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 pipelines machine learning \u03b3\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ac \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03ce\u03c2 \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b1\u03c1\u03b1\u03b4\u03bf\u03c3\u03b9\u03b1\u03ba\u03cc AutoML;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0391\u03bd\u03c4\u03af \u03bd\u03b1 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03b5 brute-force \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03c7\u03ce\u03c1\u03bf, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2, \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1, feedback \u03c3\u03b5 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1, \u03c4\u03bf\u03c0\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03af\u03bc\u03bf\u03bd\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7.<\/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 textual gradient descent \u03c3\u03c4\u03bf DoctorAgents;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039f Evaluator \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03ae \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bf\u03b4\u03b7\u03b3\u03af\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2 \u03c4\u03bf\u03c5 pipeline. \u0394\u03b5\u03bd \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc gradient \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf\u03bd \u03c0\u03b7\u03b3\u03b1\u03af\u03bf \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03b9 \u03ad\u03be\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03af \u03c1\u03cc\u03bb\u03bf\u03b9 \u03c4\u03bf\u03c5 framework;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039f\u03b9 \u03c1\u03cc\u03bb\u03bf\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 Consultant, Generator, Repairer, Logger, Evaluator \u03ba\u03b1\u03b9 Optimizer. \u03a7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7, \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae, \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7\u03c2, \u03c4\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7, \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03b7 \u03b5\u03c0\u03af\u03bc\u03bf\u03bd\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03bc\u03b5 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03ac \u03c4\u03bf\u03c5\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03ae \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03af\u03c7\u03b1\u03bd \u03ae\u03b4\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9. \u03a3\u03c4\u03bf ablation \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2, \u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 Memory \u03ae\u03c4\u03b1\u03bd \u03c3\u03b1\u03c6\u03ce\u03c2 \u03c0\u03b9\u03bf \u03b1\u03c3\u03c4\u03b1\u03b8\u03ae\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a3\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf MIMIC-IV \u2014 \u03b8\u03bd\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b5\u03c4\u03b1\u03bc\u03ad\u03bd\u03b7 \u03bd\u03bf\u03c3\u03b7\u03bb\u03b5\u03af\u03b1 \u03c3\u03c4\u03b7 \u039c\u0395\u0398 \u2014 \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ae \u03ba\u03bf\u03cc\u03c1\u03c4\u03b7 EUPA \u03b3\u03b9\u03b1 \u03b1\u03bd\u03c4\u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c3\u03b5 \u03b8\u03b5\u03c1\u03b1\u03c0\u03b5\u03af\u03b1 \u03c1\u03b5\u03c5\u03bc\u03b1\u03c4\u03bf\u03b5\u03b9\u03b4\u03bf\u03cd\u03c2 \u03b1\u03c1\u03b8\u03c1\u03af\u03c4\u03b9\u03b4\u03b1\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03b3\u03b9\u03b1 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 preprint \u03bc\u03b5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2. \u039a\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7, calibration, fairness, \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bf\u03b9 \u03b1\u03c1\u03c7\u03ad\u03c2 \u03c4\u03bf\u03c5 \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03bf\u03cd\u03bd \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03c3\u03b5\u03b9 \u03ac\u03bb\u03bb\u03b1 AI workflows, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03b4\u03bf\u03ba\u03af\u03bc\u03b1\u03c3\u03b5 marketing \u03ae e-commerce \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2. \u039a\u03ac\u03b8\u03b5 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 evaluation protocol, leakage checks, approvals \u03ba\u03b1\u03b9 production tests.<\/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\/2608.05375\" target=\"_blank\" rel=\"noopener\">Wang et al. \u2014 DoctorAgents: Iterative Agentic Refinement for Small Clinical Temporal Data<\/a><\/li>\n<li><a href=\"https:\/\/physionet.org\/content\/mimiciv\/\" target=\"_blank\" rel=\"noopener\">PhysioNet \u2014 MIMIC-IV Clinical Database<\/a><\/li>\n<li><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38626948\/\" target=\"_blank\" rel=\"noopener\">BMJ \u2014 TRIPOD+AI statement for clinical prediction models<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI Risk Management Framework<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf DoctorAgents \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf AutoML \u03c9\u03c2 \u03ba\u03cd\u03ba\u03bb\u03bf \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03c9\u03bd agents \u03bc\u03b5 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7, \u03b5\u03c0\u03af\u03bc\u03bf\u03bd\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03c4\u03c5\u03c6\u03bb\u03ae \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7.<\/p>","protected":false},"author":1,"featured_media":88501,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[17366],"tags":[6506,9588,3656,7477,3597],"class_list":["post-88436","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digital-marketing","tag-ai-agents","tag-automl","tag-data-analytics","tag-machine-learning","tag-techniti-noimosyni"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88436","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=88436"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88436\/revisions"}],"predecessor-version":[{"id":88502,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/88436\/revisions\/88502"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/88501"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=88436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=88436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=88436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}