{"id":90836,"date":"2026-09-02T13:23:43","date_gmt":"2026-09-02T10:23:43","guid":{"rendered":"https:\/\/twodots.gr\/?p=90836"},"modified":"2026-09-02T13:23:42","modified_gmt":"2026-09-02T10:23:42","slug":"medical-ai-specialization-veltiosi-montelou-pera-apo-score","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/medical-ai-specialization-veltiosi-montelou-pera-apo-score\/","title":{"rendered":"Medical AI specialization: \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03be\u03b7\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc score"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0388\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03cc benchmark \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ac\u03bb\u03bb\u03b1\u03be\u03b5\u00b7 \u03b4\u03b5\u03bd \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c0\u03bf\u03b9\u03bf update \u03ad\u03c6\u03b5\u03c1\u03b5 \u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7, \u03c0\u03bf\u03b9\u03b5\u03c2 \u03ac\u03bb\u03bb\u03b5\u03c2 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03ae \u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf \u00ab\u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03cc\u00bb \u03c5\u03c0\u03bf\u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1.<\/strong> The <em>Beyond Endpoint Gains<\/em> \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b4\u03cd\u03bf \u03b6\u03b5\u03cd\u03b3\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ac \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03c9\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf Medical AI specialization \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 audit \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2, matched controls \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03cc\u03c1\u03b9\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03ce\u03bd.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#benchmark-den-einai-exigisi\">\u0393\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf benchmark \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#dyo-zevgi-montelon-methodos\">\u03a4\u03b1 \u03b4\u03cd\u03bf \u03b6\u03b5\u03cd\u03b3\u03b7 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#metrisi-medical-non-clinical\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5<\/a><\/li>\n<li><a href=\"#decoder-update-anakataskeyi\">\u03a4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 decoder update \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae<\/a><\/li>\n<li><a href=\"#evreia-domimeni-allagi\">\u0397 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03c1\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7<\/a><\/li>\n<li><a href=\"#mlp-symvoli-ochi-monadiki-aitia\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf MLP \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#rollbacks-tradeoffs\">\u03a4\u03b1 rollbacks \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd trade-offs<\/a><\/li>\n<li><a href=\"#epicheiriseis-ai-governance\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf audit \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 AI teams<\/a><\/li>\n<li><a href=\"#epta-vimata-elegxou\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03c5 AI<\/a><\/li>\n<li><a href=\"#oria-sosto-symperasma\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<p>\u038c\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ae\u03c2 \u03bd\u03bf\u03b7\u03bc\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03c0\u03b5\u03c4\u03c5\u03c7\u03b1\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf score \u03b1\u03c0\u03cc \u03c4\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf \u03c0\u03c1\u03bf\u03ae\u03bb\u03b8\u03b5, \u03b7 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u00ab\u03ad\u03bc\u03b1\u03b8\u03b5 \u03c4\u03bf\u03bd \u03ba\u03bb\u03ac\u03b4\u03bf\u00bb. \u03a3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7, \u03cc\u03bc\u03c9\u03c2, \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03bc\u03b1\u03c2 \u03bb\u03ad\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7\u03c2 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7, \u03c4\u03b9 \u03ac\u03bb\u03bb\u03bf \u03ac\u03bb\u03bb\u03b1\u03be\u03b5 \u03bc\u03b1\u03b6\u03af \u03c4\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03b7 \u03bd\u03ad\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03b8\u03b5\u03af \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 <em>Beyond Endpoint Gains: A Weight-Delta Audit of Medical Specialization<\/em> \u03c4\u03c9\u03bd Praphul Singh, Shanu Kumar \u03ba\u03b1\u03b9 Akshat Agarwal. \u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b4\u03cd\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03ce\u03bd checkpoints. \u0391\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03c9\u03bd \u03b2\u03b1\u03c1\u03ce\u03bd \u03c4\u03bf\u03c5\u03c2 \u03c9\u03c2 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf audit \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03bd \u03c0\u03ce\u03c2 \u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b8\u03ce\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03ae \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 update.<\/p>\n<h2 id=\"benchmark-den-einai-exigisi\">\u0393\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf benchmark \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7<\/h2>\n<p>\u0397 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03b5 \u03c4\u03bf \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf. \u0391\u03bd \u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03c3\u03c9\u03c3\u03c4\u03ac \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2, \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 gain. \u0391\u03c5\u03c4\u03ae \u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 endpoint measurement: \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03cd\u03bf \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd, \u03cc\u03c7\u03b9 \u03c0\u03ce\u03c2 \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c4\u03bf\u03c5\u03c2. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 <a href=\"https:\/\/twodots.gr\/every-eval-ever-ai-benchmarks-diafaneia\/\">\u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03c4\u03c9\u03bd AI benchmarks<\/a> \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03cb\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03b5\u03bd\u03cc\u03c2 score.<\/p>\n<p>\u03a4\u03bf \u03af\u03b4\u03b9\u03bf update \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03cc \u03b4\u03b5\u03af\u03ba\u03c4\u03b7, \u03bd\u03b1 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b7 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ac tasks \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b1. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ac layers \u03ba\u03b1\u03b9 projections. \u0395\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2, \u03b7 \u03c6\u03c1\u03ac\u03c3\u03b7 \u00ab\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03cd\u03c4\u03b7\u03ba\u03b5\u00bb \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c9\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af domain-specific AI, \u03b1\u03c5\u03c4\u03cc \u03ad\u03c7\u03b5\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1. \u0388\u03bd\u03b1 leaderboard result \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03bf\u03c1\u03b9\u03bf\u03b8\u03b5\u03c4\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1, \u03bf\u03cd\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03ac\u03bb\u03bb\u03b5\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ad\u03c2. \u038c\u03c0\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bc\u03b9\u03b1 <a href=\"https:\/\/twodots.gr\/ai-alignment-sosti-apantisi-sosti-logiki\/\">\u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae<\/a>, \u03c4\u03bf \u03bf\u03c1\u03b1\u03c4\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>Endpoint gain \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7.<\/strong> \u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03bf \u03cc\u03c4\u03b9 \u03c4\u03bf base \u03ba\u03b1\u03b9 \u03c4\u03bf specialist checkpoint \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf test. \u0393\u03b9\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03b8\u03b5\u03af \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 component, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2, matched controls \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03ce\u03bd \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03c9\u03bd.<\/p>\n<\/aside>\n<h2 id=\"dyo-zevgi-montelon-methodos\">\u03a4\u03b1 \u03b4\u03cd\u03bf \u03b6\u03b5\u03cd\u03b3\u03b7 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2<\/h2>\n<p>\u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2 Gemma-3-4B-IT \u03ba\u03b1\u03b9 MedGemma-4B-IT. \u0397 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c4\u03bf\u03c5 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03cd \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf Qwen2.5-7B-Instruct \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ac \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf HuatuoGPT-o1-7B. \u03a3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2, \u03c4\u03b1 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 tensors \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c3\u03c7\u03ae\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c1\u03cc\u03bb\u03bf, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03c9\u03bd \u03b2\u03b1\u03c1\u03ce\u03bd \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03b1\u03c3\u03c4\u03b5\u03af \u03b1\u03c0\u03b5\u03c5\u03b8\u03b5\u03af\u03b1\u03c2.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03bf\u03c0\u03ac\u03c4\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf checkpoint. \u03a4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af \u03c3\u03c4\u03bf base decoder \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b7\u03bd \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5 decoder-side update. \u0397 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ae \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1\u03c2 training. \u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b4\u03b9\u03b1\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03cc\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf Gemma\u2013MedGemma audit \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03bd\u03c4\u03b1\u03b9 238 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03b9 \u03b4\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03bf\u03b9 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03c4\u03bf\u03c5 decoder, \u03bc\u03b5 3,209 \u03b4\u03b9\u03c3. \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03b1 benchmarks \u03b5\u03af\u03bd\u03b1\u03b9 text-only, \u03bf\u03b9 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf\u03bd \u03ba\u03bf\u03b9\u03bd\u03cc decoder. \u039f\u03b9 81 encoder-side multimodal matrices \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b2\u03ac\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03ae \u03c0\u03bf\u03bb\u03c5\u03c4\u03c1\u03bf\u03c0\u03b9\u03ba\u03ac \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03ac\u03c3\u03bc\u03b1\u03c4\u03b1.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03c4\u03bf\u03c5 audit<\/p>\n<p class=\"td-chart-subtitle\">\u03a4\u03b1 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03c4\u03c9\u03bd tests\u00b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03ae \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\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\">1.810<\/span><span class=\"td-metric-label\">\u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ac multiple-choice \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">7.325<\/span><span class=\"td-metric-label\">\u03bc\u03b7 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03bf \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf suite<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">238<\/span><span class=\"td-metric-label\">\u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03b9 decoder matrices \u03c3\u03c4\u03bf \u03ba\u03cd\u03c1\u03b9\u03bf \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2.000<\/span><span class=\"td-metric-label\">paired bootstrap resamples \u03b1\u03bd\u03ac confidence interval<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"metrisi-medical-non-clinical\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5<\/h2>\n<p>\u03a4\u03bf \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03cc composite \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 1.810 multiple-choice \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc MedQA, MMLU Clinical Knowledge \u03ba\u03b1\u03b9 MMLU Professional Medicine. \u0397 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03b7 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c3\u03bf\u03c5\u03af\u03c4\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 7.325 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc GPQA Diamond, MMLU-Pro, CommonsenseQA, TruthfulQA MC1 \u03ba\u03b1\u03b9 text-only Kaleidoscope.<\/p>\n<p>\u03a3\u03c4\u03bf \u03ba\u03cd\u03c1\u03b9\u03bf \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2, \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03bf \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03cc composite \u03ae\u03c4\u03b1\u03bd +0,085 accuracy, \u03bc\u03b5 95% \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03b1\u03c0\u03cc +0,062 \u03ad\u03c9\u03c2 +0,108. \u03a3\u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 regressions \u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03ae\u03c4\u03b1\u03bd -0,035, \u03b5\u03bd\u03ce \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 gains \u03ae\u03c4\u03b1\u03bd +0,063. \u03a4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03bc\u03b7 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc aggregate \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ac \u03b8\u03b5\u03c4\u03b9\u03ba\u03ac, \u03ba\u03b1\u03c4\u03ac +0,009, \u03bc\u03b5 \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03b1\u03c0\u03cc -0,002 \u03ad\u03c9\u03c2 +0,020.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03b4\u03b5\u03bd \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c0\u03bb\u03cc \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u00ab\u03b3\u03b5\u03bd\u03b9\u03ba\u03ae\u03c2 \u03bb\u03ae\u03b8\u03b7\u03c2\u00bb. \u03a5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf aggregate \u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 regression \u03ba\u03b1\u03b9 gain slices \u03c9\u03c2 endpoint-conditioned diagnostics \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd \u03b9\u03ba\u03b1\u03bd\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-band-kicker\">\u0395\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc procurement \u03ae pilot<\/p>\n<h3>\u03a0\u03bf\u03b9\u03b1 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c4\u03bf score;<\/h3>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 dataset, task format, \u03c0\u03bb\u03b7\u03b8\u03c5\u03c3\u03bc\u03cc, baseline, confidence interval \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2. \u0391\u03bd \u03c4\u03bf test \u03b5\u03af\u03bd\u03b1\u03b9 text-only \u03ba\u03b1\u03b9 multiple-choice, \u03bc\u03b7\u03bd \u03c4\u03bf \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b5 \u03c3\u03b5 claim \u03b3\u03b9\u03b1 \u03b5\u03bb\u03b5\u03cd\u03b8\u03b5\u03c1\u03b7 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae \u03b1\u03b9\u03c4\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7, calibrated uncertainty, multimodal input \u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1.<\/p>\n<\/div>\n<h2 id=\"decoder-update-anakataskeyi\">\u03a4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 decoder update \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae<\/h2>\n<p>\u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 decoder-side update \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae \u03ba\u03af\u03bd\u03b7\u03c3\u03b7. \u0397 endpoint-normalized medical retention \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf 0,974 \u03b3\u03b9\u03b1 \u03c4\u03bf Gemma\u2013MedGemma \u03ba\u03b1\u03b9 \u03c4\u03bf 1,183 \u03b3\u03b9\u03b1 \u03c4\u03bf Qwen\u2013HuatuoGPT-o1. \u03a4\u03b9\u03bc\u03ad\u03c2 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf \u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 decoder \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03cc\u03bb\u03bf \u03c4\u03bf gain \u03c4\u03bf\u03c5 specialist endpoint.<\/p>\n<p>\u0397 \u03c4\u03b9\u03bc\u03ae \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03ad\u03bd\u03b1 \u03c3\u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u00ab118,3% \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\u00bb. \u0397 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf \u03ad\u03bd\u03b1 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf decoder reconstruction \u03c5\u03c0\u03b5\u03c1\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ac \u03c4\u03bf specialist endpoint \u03c3\u03b5 \u03c0\u03b5\u03c0\u03b5\u03c1\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf benchmark. \u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b5\u03bd\u03cc\u03c4\u03b5\u03c1\u03bf: \u03c4\u03bf released decoder delta \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf \u03c5\u03c0\u03cc\u03c3\u03c4\u03c1\u03c9\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af \u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 benchmark movement.<\/p>\n<p>\u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 AI governance \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1. \u03a0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c0\u03bf\u03b9\u03bf component \u00ab\u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03bf\u03c5\u03bb\u03b5\u03b9\u03ac\u00bb, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03bf\u03c5\u03bc\u03b5 \u03cc\u03c4\u03b9 \u03c4\u03bf update \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03bb\u03cd\u03bf\u03c5\u03bc\u03b5 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c0\u03bf\u03c5 \u03b8\u03ad\u03bb\u03bf\u03c5\u03bc\u03b5 \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5.<\/p>\n<h2 id=\"evreia-domimeni-allagi\">\u0397 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03c1\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7<\/h2>\n<p>\u03a3\u03c4\u03bf \u03ba\u03cd\u03c1\u03b9\u03bf checkpoint pair \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd 319 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03b9 weight matrices \u03c3\u03b5 884 \u03ba\u03bf\u03b9\u03bd\u03ac state-dict keys: 238 \u03c3\u03c4\u03bf\u03bd decoder \u03ba\u03b1\u03b9 81 \u03c3\u03b5 encoder-side multimodal components. \u0397 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c4\u03c9\u03bd norms, \u03c4\u03c9\u03bd \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03b1\u03bb\u03bb\u03b1\u03b3\u03ce\u03bd, \u03c4\u03bf\u03c5 RMS \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd singular values \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc, \u03c4\u03bf\u03c0\u03b9\u03ba\u03cc edit.<\/p>\n<p>\u03a4\u03b1 attention projections \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03c5\u03bd \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2, \u03b5\u03bd\u03ce \u03c4\u03b1 MLP projections \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03c4\u03bc\u03ae\u03bc\u03b1 \u03c4\u03b7\u03c2 decoder-side update energy. \u03a3\u03c4\u03bf Qwen pair, \u03c4\u03bf MLP \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af \u03c3\u03c4\u03bf 87,4% \u03c4\u03c9\u03bd projection parameters \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf 87,8% \u03c4\u03b7\u03c2 update energy. \u0391\u03c5\u03c4\u03cc \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf MLP \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03b8\u03b5\u03af \u03bc\u03b5 controls \u03af\u03b4\u03b9\u03bf\u03c5 \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2 \u03ae \u03af\u03b4\u03b9\u03b1\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2.<\/p>\n<p>\u0397 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03c4\u03bf\u03c5 update \u03b4\u03b5\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bb\u03af\u03b3\u03b5\u03c2 singular directions \u03ba\u03b1\u03b9 \u03c4\u03b1 effective ranks \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c5\u03c8\u03b7\u03bb\u03ac. \u039c\u03b5 \u03b1\u03c0\u03bb\u03ac \u03bb\u03cc\u03b3\u03b9\u03b1, \u03b7 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03b5 \u03b5\u03c5\u03c1\u03b5\u03af\u03b1 \u03b1\u03bd\u03b1\u03b4\u03b9\u03bf\u03c1\u03b3\u03ac\u03bd\u03c9\u03c3\u03b7 \u03c0\u03b1\u03c1\u03ac \u03bc\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b4\u03b9\u03b1\u03ba\u03cc\u03c0\u03c4\u03b7 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03bd\u03b1 \u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03c4\u03b5\u03af \u00ab\u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03cc module\u00bb.<\/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\">Endpoint \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7<\/p>\n<p>\u0391\u03c0\u03b1\u03bd\u03c4\u03ac \u03b1\u03bd \u03c4\u03bf specialist checkpoint \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf score \u03b1\u03c0\u03cc \u03c4\u03bf base \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf benchmark. \u0394\u03b5\u03bd \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 update \u03bc\u03b5\u03c4\u03ad\u03c6\u03b5\u03c1\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u0391\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1<\/span><span class=\"td-badge\">Baseline<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Weight-delta path<\/p>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03ae \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5 update \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf target gain \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b5\u03c2 off-domain \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ad\u03c2 \u03ba\u03b9\u03bd\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Reconstruction<\/span><span class=\"td-badge\">Trade-offs<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Controls \u03ba\u03b1\u03b9 rollback<\/p>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03bf component \u03bc\u03b5 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 subsets \u03af\u03b4\u03b9\u03bf\u03c5 \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2 \u03ae \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03bd \u03c4\u03b9 \u03c7\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03b8\u03b5\u03af \u03b1\u03c0\u03cc \u03c4\u03bf specialist update.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Distinctiveness<\/span><span class=\"td-badge\">Intervention<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"mlp-symvoli-ochi-monadiki-aitia\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf MLP \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7<\/h2>\n<p>\u039f\u03b9 scoped paths \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03bf\u03c5\u03bd \u03bc\u03cc\u03bd\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03c4\u03bf\u03c5 update \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf base model. \u03a4\u03bf MLP \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf coarse bucket \u03ba\u03b1\u03b9 \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf medical retention 0,797, \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03bc\u03b5 scale 0,80. \u03a4\u03bf attention \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 0,438, \u03b5\u03bd\u03ce \u03bf \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc\u03c2 attention \u03ba\u03b1\u03b9 down projection \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 0,601. \u039a\u03b1\u03bc\u03af\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03c6\u03b1\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bb\u03ae\u03c1\u03b7 decoder path.<\/p>\n<p>\u03a4\u03bf \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf: \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03b1 structured buckets \u03bc\u03b5 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 subsets \u03c0\u03bf\u03c5 \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc matrices, \u03c4\u03bf parameter count \u03ae \u03c4\u03b7\u03bd \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03c4\u03bf\u03c5 delta. \u03a3\u03b5 \u03b4\u03ad\u03ba\u03b1 seeded draws, \u03bf parameter-matched control \u03b3\u03b9\u03b1 \u03c4\u03bf MLP \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03bc\u03ad\u03c3\u03b7 medical retention 0,814 \u03c3\u03c4\u03bf scale 1,00. \u03a3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf scale, \u03c4\u03bf structured MLP \u03b5\u03af\u03bd\u03b1\u03b9 0,699. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b5\u03bd\u03cc\u03c2 bucket \u03bc\u03b5 control \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf endpoint.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03ba\u03c5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bc\u03b2\u03bf\u03bb\u03ae \u03c4\u03bf\u03c5 MLP. \u0391\u03ba\u03c5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03c9\u03c1\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae \u03c4\u03b7\u03c2 \u03bc\u03b5\u03c1\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c0\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1\u03c2 \u03c3\u03b5 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03b1\u03b9\u03c4\u03b9\u03b1\u03ba\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7. \u0388\u03bd\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf bucket \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03bf\u03cd update. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c6\u03cd\u03bb\u03b1\u03be\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/model-cards-open-weight-ai-governance\/\">model cards \u03b3\u03b9\u03b1 open-weight AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1<\/a>: \u03bf\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b4\u03b7\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd.<\/p>\n<h2 id=\"rollbacks-tradeoffs\">\u03a4\u03b1 rollbacks \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd trade-offs<\/h2>\n<p>\u03a3\u03c4\u03b1 endpoint-anchored rollbacks, \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03be\u03b5\u03ba\u03b9\u03bd\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 specialist update \u03ba\u03b1\u03b9 \u03b1\u03c6\u03b1\u03b9\u03c1\u03bf\u03cd\u03bd \u03c3\u03c4\u03b1\u03b4\u03b9\u03b1\u03ba\u03ac \u03bc\u03b9\u03b1 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1. \u0397 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 attention \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 medical retention 0,699 \u03ba\u03b1\u03b9 regression recovery 0,279. \u0397 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 MLP \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 medical retention \u03c3\u03c4\u03bf 0,359, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7 regression recovery \u03c3\u03c4\u03bf 0,593.<\/p>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae: \u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 components \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd gain \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03c9\u03bd regressions, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 tested family \u03b4\u03b5\u03bd \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03c4\u03bf medical movement \u03b5\u03bd\u03ce \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03b9 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2. \u0394\u03b5\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc control knob.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03ba\u03ad\u03c6\u03c4\u03bf\u03bd\u03c4\u03b1\u03b9 model merging, rollback \u03ae component-level editing, \u03c4\u03bf \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc. \u0397 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03ad\u03bd\u03b1 broad family \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ad\u03c2 \u03bc\u03b1\u03b6\u03af. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 matched controls, \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 evaluation views \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03c4\u03bf\u03c5 \u03c4\u03b9 \u03b8\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u2014 \u03b7 \u03af\u03b4\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c0\u03bf\u03c5 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">behavioral testing<\/a> \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03af\u03bf \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf weight-delta audit \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u00ab\u03b5\u03c0\u03b9\u03c3\u03ba\u03b5\u03c5\u03ae\u03c2 \u03bc\u03b5 \u03ad\u03bd\u03b1 \u03ba\u03bf\u03c5\u03bc\u03c0\u03af\u00bb.<\/strong> \u0395\u03af\u03bd\u03b1\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 release comparison \u03ba\u03b1\u03b9 regression triage: \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c4\u03b1\u03be\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf update \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bb\u03b5\u03c0\u03c4\u03cc\u03c4\u03b5\u03c1\u03bf causal test.<\/p>\n<\/aside>\n<h2 id=\"epicheiriseis-ai-governance\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf audit \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 AI teams<\/h2>\n<p>\u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03b7 \u03b1\u03b3\u03bf\u03c1\u03ac \u03b5\u03bd\u03cc\u03c2 \u00ab\u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03c5\u00bb \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03b4\u03b5\u03af\u03ba\u03c4\u03b7. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 target-domain tests, off-domain suites \u03ba\u03b1\u03b9 diagnostics \u03b3\u03b9\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 gains. \u0397 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b5\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03c3\u03b5 \u03c5\u03c0\u03bf\u03bf\u03bc\u03ac\u03b4\u03b5\u03c2.<\/p>\n<p>\u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03bf\u03b9 claims \u03b3\u03b9\u03b1 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03c5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7. \u03a4\u03bf \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 component subset \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac\u03c2 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2. \u0397 partial sufficiency, \u03b7 distinctiveness \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 controls \u03ba\u03b1\u03b9 \u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b9\u03b1\u03c2 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<p>\u03a4\u03c1\u03af\u03c4\u03bf\u03bd, \u03c4\u03bf audit trail \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03bf scope. \u0395\u03b4\u03ce \u03bf\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd text-only multiple-choice benchmarks, \u03b4\u03cd\u03bf aligned checkpoint pairs \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2. \u0394\u03b5\u03bd \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd diagnosis, patient safety, calibrated uncertainty \u03ae \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7. \u03a3\u03b5 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ac use cases, \u03b7 <a href=\"https:\/\/twodots.gr\/ai-psychiki-ygeia-egkairi-anichnefsi-kliniki-efthyni\/\">\u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1<\/a> \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c5\u03c0\u03bf\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03b1\u03b8\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc benchmark accuracy.<\/p>\n<p>\u03a4\u03ad\u03c4\u03b1\u03c1\u03c4\u03bf\u03bd, \u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03b8\u03b5\u03af \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 pilot: versioned checkpoints, immutable evaluation sets, logs, approvals, rollback criteria \u03ba\u03b1\u03b9 owner \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 risk. \u03a4\u03b1 <a href=\"https:\/\/twodots.gr\/enterprise-ai-harnesses-diakyvernisi-architektoniki\/\">enterprise AI harnesses<\/a> \u03ad\u03c7\u03bf\u03c5\u03bd \u03b1\u03be\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03bf\u03cd\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b1 gates \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03b1\u03c0\u03bb\u03ce\u03c2 \u03ad\u03bd\u03b1 \u03b1\u03ba\u03cc\u03bc\u03b7 dashboard.<\/p>\n<h2 id=\"epta-vimata-elegxou\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03c5 AI<\/h2>\n<p>\u03a4\u03bf paper \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf procurement checklist, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03c4\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03c3\u03b5\u03b9\u03c1\u03ac \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1. \u03a4\u03bf \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03b7 \u03af\u03b4\u03b9\u03b1 \u03cc\u03bb\u03b1 \u03c4\u03b1 weight deltas\u00b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af evidence \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc, \u03c4\u03bf test, \u03c4\u03bf update \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 deployment.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0391\u03c0\u03cc \u03c4\u03bf specialist claim \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc task \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c1\u03af\u03c3\u03ba\u03bf<\/strong>\n<p>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b8\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 retrieval, \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7, \u03c0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7, draft \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03ae \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2. \u0394\u03b7\u03bb\u03ce\u03c3\u03c4\u03b5 \u03c7\u03c1\u03ae\u03c3\u03c4\u03b5\u03c2, \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03b1\u03b3\u03bf\u03c1\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03c4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf benchmark<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03bc\u03bf\u03c1\u03c6\u03ae \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd, \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 \u03ae \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03ac labels, \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc contamination, baseline, confidence interval \u03ba\u03b1\u03b9 \u03b1\u03bd \u03c4\u03bf evaluation \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c1\u03bf\u03ae.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 target \u03ba\u03b1\u03b9 off-domain \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac<\/strong>\n<p>\u039c\u03b7\u03bd \u03b1\u03c1\u03ba\u03b5\u03c3\u03c4\u03b5\u03af\u03c4\u03b5 \u03c3\u03c4\u03bf medical composite. \u03a0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03c4\u03b5 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac tasks, subgroup slices, robustness, calibration, refusal, harmful-answer tests \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf review \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf use case \u03c4\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03c4\u03bf claim \u03bc\u03b5 \u03c4\u03bf release<\/strong>\n<p>\u0391\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03c4\u03b5 lineage, version, model card, training \u03ba\u03b1\u03b9 evaluation scope. \u0391\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 checkpoints, \u03ad\u03bd\u03b1 weight-delta audit \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf released update \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03ba\u03af\u03bd\u03b7\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2<\/strong>\n<p>\u0393\u03b9\u03b1 component claims, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 matched controls \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 parameter count, matrix count \u03ae update energy. \u039c\u03b7\u03bd \u03b2\u03b1\u03c6\u03c4\u03af\u03b6\u03b5\u03c4\u03b5 localization \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b7\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03b5\u03be\u03af\u03c3\u03bf\u03c5 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 bucket.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 gates \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03be\u03bf\u03c5\u03c3\u03af\u03b1<\/strong>\n<p>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 quality thresholds, privacy, approval, incident handling \u03ba\u03b1\u03b9 rollback \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf owner. \u03a3\u03b5 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd, \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c3\u03b1\u03c6\u03ae human authority \u03ba\u03b1\u03b9 \u03bc\u03b7\u03bd \u03b1\u03c6\u03ae\u03bd\u03b5\u03c4\u03b5 \u03c4\u03bf AI \u03bd\u03b1 \u03b4\u03b9\u03b5\u03c5\u03c1\u03cd\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c4\u03bf scope.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u0391\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03c3\u03c4\u03b5 deploy, constrain \u03ae stop<\/strong>\n<p>\u03a0\u03c1\u03bf\u03c7\u03c9\u03c1\u03ae\u03c3\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03b1 evidence \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc task, \u03bf\u03b9 residual \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03bf\u03af \u03ba\u03b1\u03b9 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd monitoring \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2. \u0394\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03ae \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf pilot.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"oria-sosto-symperasma\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b4\u03cd\u03bf \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1, tensor-aligned \u03b6\u03b5\u03cd\u03b3\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03bf\u03c1\u03c6\u03ae domain adaptation. \u039f\u03b9 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 regression \u03ba\u03b1\u03b9 gain \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 endpoint \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03bb\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9, \u03ac\u03c1\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 diagnostics \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b5\u03ba\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bb\u03b7\u03b8\u03c5\u03c3\u03bc\u03bf\u03cd. \u03a4\u03b1 matched controls \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03b4\u03ad\u03ba\u03b1 seeds \u03ba\u03b1\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03c9\u03c4\u03b9\u03ba\u03ac, \u03cc\u03c7\u03b9 \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 null distributions.<\/p>\n<p>\u03a4\u03b1 benchmarks \u03b5\u03af\u03bd\u03b1\u03b9 multiple-choice \u03ba\u03b1\u03b9 text-only. \u0394\u03b5\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03b5\u03bb\u03b5\u03cd\u03b8\u03b5\u03c1\u03bf\u03c5 \u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u03b1\u03b9\u03c4\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2, calibration, abstention, robustness, \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03c3\u03c5\u03bc\u03b2\u03bf\u03c5\u03bb\u03ce\u03bd, multimodal input \u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac clinical workflows. \u039f\u03b9 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03c3\u03c4\u03bf weight space \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b3\u03b9\u03b1 audit, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c4\u03c1\u03bf\u03c7\u03b9\u03ac training.<\/p>\n<p>\u0391\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf neuron-level diagnostic \u03c4\u03bf\u03c5 paper \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd activation drift \u03ba\u03b1\u03b9 proxy importance score \u03c3\u03b5 64 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03bd\u03ac \u03bf\u03bc\u03ac\u03b4\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c4\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c9\u03c2 causal ablations. \u0391\u03c5\u03c4\u03ae \u03b7 \u03b1\u03c5\u03c4\u03bf\u03c3\u03c5\u03b3\u03ba\u03c1\u03ac\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b1\u03be\u03af\u03b1\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2.<\/p>\n<p>\u03a4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ac specialist models \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03bf\u03c5\u03bd. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03c4\u03bf\u03c5\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae. \u03a4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 update \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf benchmark gain, \u03b5\u03bd\u03ce \u03b7 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03bf\u03c1\u03b3\u03ac\u03bd\u03c9\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03c5\u03c1\u03b5\u03af\u03b1, \u03bc\u03b9\u03ba\u03c4\u03ae \u03ba\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b7 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03b8\u03b5\u03af \u03c3\u03b5 \u03bc\u03af\u03b1 coarse \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1. \u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1, \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u00ab\u03c0\u03cc\u03c3\u03bf \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03c4\u03bf score;\u00bb \u03c3\u03c4\u03bf \u00ab\u03c0\u03bf\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5, \u03c4\u03b9 \u03ac\u03bb\u03bb\u03bf \u03ac\u03bb\u03bb\u03b1\u03be\u03b5, \u03c0\u03bf\u03b9\u03b1 controls \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af;\u00bb.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf benchmark \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf AI pilot<\/p>\n<h3>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7, quality gates \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 AI workflows<\/h3>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc task, \u03c4\u03b1 evaluation sets, \u03c4\u03b1 failure modes, \u03c4\u03b1 approvals, \u03c4\u03b1 logs \u03ba\u03b1\u03b9 \u03c4\u03b1 rollback criteria \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf specialist model \u03bd\u03b1 \u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7 \u03c1\u03bf\u03ae \u03cc\u03c0\u03bf\u03c5 \u03b8\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">Check out Business Automation &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 weight-delta audit;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03b2\u03b1\u03c1\u03ce\u03bd \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 checkpoints \u03ba\u03b1\u03b9 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03ae \u03bc\u03ad\u03c1\u03bf\u03c2 \u03b1\u03c5\u03c4\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf MedGemma \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c1\u03b7\u03c4\u03ac \u03c4\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03ac\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 text-only multiple-choice benchmark movement, \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7, \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03ae \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b1\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>Gemma-3-4B-IT \u03bc\u03b5 MedGemma-4B-IT \u03ba\u03b1\u03b9 Qwen2.5-7B-Instruct \u03bc\u03b5 HuatuoGPT-o1-7B, \u03b4\u03cd\u03bf \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 \u03ba\u03b1\u03b9 tensor-aligned \u03b6\u03b5\u03cd\u03b3\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03bf\u03cd \u03ba\u03b1\u03b9 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ac \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf MLP \u03b4\u03b5\u03bd \u03b8\u03b5\u03c9\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03b1\u03b9\u03c4\u03af\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf component family \u03ba\u03b1\u03b9 matched random controls \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03bf\u03c5 \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2 \u03ae update energy \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03bf\u03c5\u03bd \u03ae \u03bd\u03b1 \u03be\u03b5\u03c0\u03b5\u03c1\u03ac\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7 medical retention \u03c4\u03bf\u03c5 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf scale.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a5\u03c0\u03ae\u03c1\u03be\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1 \u03bc\u03b7 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ce\u03bd \u03b9\u03ba\u03b1\u03bd\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 \u03bc\u03b7 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc aggregate \u03ae\u03c4\u03b1\u03bd \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ac \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc. \u03a5\u03c0\u03ae\u03c1\u03c7\u03b1\u03bd \u03cc\u03bc\u03c9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 gains \u03c3\u03b5 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 slices, \u03b3\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03bb\u03ae\u03b8\u03b7\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c4\u03b1 rollbacks;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0394\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd trade-offs \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd gain \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03c9\u03bd regressions, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc component \u03c0\u03bf\u03c5 \u03bb\u03cd\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b1 domains;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b9\u03bc\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 \u03ba\u03b1\u03b9 tensor-aligned checkpoints, \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b1 behavioral readouts \u03ba\u03b1\u03b9 controls. \u0397 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03cd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03ac\u03bb\u03bb\u03bf domain.<\/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 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03b1 endpoint scores \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b1 tests, matched controls, intervention checks \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03cc\u03c1\u03b9\u03b1, \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03bf\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03bf \u03ba\u03bb\u03ac\u03b4\u03bf.<\/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\/2608.20768\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Beyond Endpoint Gains: A Weight-Delta Audit of Medical Specialization<\/a><\/li>\n<li><a href=\"https:\/\/developers.google.com\/health-ai-developer-foundations\/medgemma\" target=\"_blank\" rel=\"noopener\">Google for Developers \u2014 MedGemma, Health AI Developer Foundations<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/artificial-intelligence-risk-management-framework-generative-artificial-intelligence\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Artificial Intelligence Risk Management Framework: Generative AI Profile<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/5-sec-core\/\" target=\"_blank\" rel=\"noopener\">NIST AI Resource Center \u2014 AI RMF Core: Map, Measure and Manage<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf weight-delta audit \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf medical AI score \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03c3\u03c4\u03bf update, \u03c3\u03c4\u03b1 trade-offs \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2.<\/p>","protected":false},"author":1,"featured_media":90846,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[17818,9260,19858,19857,19859],"class_list":["post-90836","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-benchmarks","tag-ai-governance","tag-language-models","tag-medical-ai","tag-model-auditing"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/90836","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=90836"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/90836\/revisions"}],"predecessor-version":[{"id":90847,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/90836\/revisions\/90847"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/90846"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=90836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=90836"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=90836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}