{"id":97890,"date":"2026-09-26T10:51:59","date_gmt":"2026-09-26T07:51:59","guid":{"rendered":"https:\/\/twodots.gr\/?p=97890"},"modified":"2026-09-26T10:51:59","modified_gmt":"2026-09-26T07:51:59","slug":"ai-safety-se-cpu-adeiodotisi-dedomenon","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/ai-safety-se-cpu-adeiodotisi-dedomenon\/","title":{"rendered":"AI safety \u03c3\u03b5 CPU: \u03c0\u03ce\u03c2 \u03b7 \u03b1\u03b4\u03b5\u03b9\u03bf\u03b4\u03cc\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>Answer first:<\/strong> \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf AI safety \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc CPU \u03bc\u03b5 latency \u03b4\u03b5\u03ba\u03ac\u03b4\u03c9\u03bd milliseconds, \u03b1\u03c1\u03ba\u03b5\u03af \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03c4\u03b1 labels, \u03c4\u03bf \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf benchmark \u03ba\u03b1\u03b9 \u03c4\u03bf over-defense \u03c9\u03c2 \u03bc\u03ad\u03c1\u03b7 \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 arXiv 2608.21570 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ce\u03b3\u03b9\u03bc\u03b7 \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae distillation \u03b1\u03c0\u03cc \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf guard model \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 classifiers. \u03a4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u00ab\u03c4\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 commercial-only \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03ad\u03c7\u03b1\u03c3\u03b5 \u03bc\u03cc\u03bb\u03b9\u03c2 0,005 headline macro-F1 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03bf DistilBERT \u03ad\u03b4\u03c9\u03c3\u03b5 median latency 24,49 ms \u03c3\u03b5 desktop CPU \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03be\u03b9\u03c3\u03bf\u03c1\u03c1\u03cc\u03c0\u03b7\u03c3\u03b7 \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03b5\u03c0\u03b7\u03c1\u03ad\u03b1\u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ae\u03ba\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03bc\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03ac\u03b4\u03b5\u03b9\u03b1.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#giati-ai-safety-se-cpu\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 AI safety \u03c3\u03b5 CPU \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03b6\u03ae\u03c4\u03b7\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#epta-katigories-kindynou\">\u0391\u03c0\u03cc 12 hazards \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5<\/a><\/li>\n<li><a href=\"#adeiodotisi-os-metavliti\">\u0397 \u03b1\u03b4\u03b5\u03b9\u03bf\u03b4\u03cc\u03c4\u03b7\u03c3\u03b7 \u03c9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae<\/a><\/li>\n<li><a href=\"#leakage-gold-benchmark\">Leakage control \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf gold benchmark<\/a><\/li>\n<li><a href=\"#teacher-kai-students\">\u0388\u03bd\u03b1\u03c2 teacher \u03ba\u03b1\u03b9 \u03ad\u03be\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03af students<\/a><\/li>\n<li><a href=\"#poiotita-kai-over-defense\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 over-defense<\/a><\/li>\n<li><a href=\"#kostos-commercial-only\">\u03a0\u03cc\u03c3\u03bf \u03ba\u03cc\u03c3\u03c4\u03b9\u03c3\u03b5 \u03b7 commercial-only \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae<\/a><\/li>\n<li><a href=\"#cpu-latency-tradeoff\">CPU latency \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc trade-off<\/a><\/li>\n<li><a href=\"#rebalancing-taxonomia\">Rebalancing \u03ba\u03b1\u03b9 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1: \u03c0\u03bf\u03cd \u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#production-governance\">\u03a4\u03b9 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc production \u03c7\u03c1\u03ae\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#epta-vimata-pilot\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf pilot<\/a><\/li>\n<li><a href=\"#periorismoi-symperasma\">\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"giati-ai-safety-se-cpu\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 AI safety \u03c3\u03b5 CPU \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03b6\u03ae\u03c4\u03b7\u03bc\u03b1<\/h2>\n<p>\u0388\u03bd\u03b1 guard model \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03ad\u03bd\u03b1 prompt, \u03bc\u03b9\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ae \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd \u03c0\u03b1\u03c1\u03b1\u03b2\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03b5\u03bd\u03cc\u03c2 AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u038c\u03c4\u03b1\u03bd \u03b1\u03c5\u03c4\u03cc\u03c2 \u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03b4\u03b9\u03c3\u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03c5\u03c1\u03af\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03c9\u03bd, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 GPU \u03ae \u03b1\u03c0\u03bf\u03b4\u03ad\u03c7\u03b5\u03c4\u03b1\u03b9 latency \u03c3\u03b5 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03bf\u03bb\u03ad\u03c0\u03c4\u03c9\u03bd \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 CPU. \u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 chatbot \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2, \u03ad\u03bd\u03b1 e-commerce assistant \u03ae \u03ad\u03bd\u03b1\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc copilot, \u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03ba\u03ac\u03b8\u03b5 \u03b1\u03b9\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<p>\u0397 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b6\u03ae\u03c4\u03b7\u03bc\u03b1 \u03c4\u03b1\u03c7\u03cd\u03c4\u03b7\u03c4\u03b1\u03c2. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac prompts \u03c3\u03b5 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03c5\u03c0\u03b7\u03c1\u03b5\u03c3\u03af\u03b1, \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c3\u03b5 edge \u03ae \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd. \u0394\u03b5\u03bd \u03bb\u03cd\u03bd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03b7 \u03c4\u03b7\u03c2 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2. \u0388\u03bd\u03b1 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03bf \u03c6\u03af\u03bb\u03c4\u03c1\u03bf \u03c0\u03bf\u03c5 \u03c7\u03ac\u03bd\u03b5\u03b9 \u03b5\u03c0\u03b9\u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03b1 \u03b1\u03b9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ae \u03bc\u03c0\u03bb\u03bf\u03ba\u03ac\u03c1\u03b5\u03b9 \u03b1\u03b2\u03bb\u03b1\u03b2\u03b5\u03af\u03c2 \u03c7\u03c1\u03ae\u03c3\u03c4\u03b5\u03c2 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03bf \u03c1\u03af\u03c3\u03ba\u03bf \u03c0\u03b9\u03bf \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03b7\u03bd \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae.<\/p>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 <em>A Reproducible, License-Aware Distillation Recipe for CPU-Deployable Safety Classification<\/em> \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf trade-off. \u0388\u03bd\u03b1\u03c2 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf\u03c2 open guard \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 teacher \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 supervision \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1\u03bd \u03c3\u03c4\u03cc\u03bb\u03bf \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03c9\u03bd students. \u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc TF-IDF \u03ba\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ac \u03bd\u03b5\u03c5\u03c1\u03c9\u03bd\u03b9\u03ba\u03ac \u03b4\u03af\u03ba\u03c4\u03c5\u03b1 \u03bc\u03ad\u03c7\u03c1\u03b9 encoder \u03ba\u03b1\u03b9 quantized generative \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bd\u03b1 \u03bc\u03b7 \u03c3\u03c5\u03b3\u03c7\u03ad\u03b5\u03b9 \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03bc\u03b5 \u03bc\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae.<\/p>\n<p>\u0397 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c3\u03b5 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c4\u03af\u03b6\u03bf\u03c5\u03bd <a href=\"https:\/\/twodots.gr\/incomplete-prompt-jailbreaks-asfaleia-llm\/\">\u03ac\u03bc\u03c5\u03bd\u03b1 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03b5 jailbreaks \u03ba\u03b1\u03b9 \u03ba\u03b1\u03ba\u03cc\u03b2\u03bf\u03c5\u03bb\u03b1 prompts<\/a>. \u0388\u03bd\u03b1 prompt classifier \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03c1\u03ce\u03c4\u03bf gate \u03c7\u03b1\u03bc\u03b7\u03bb\u03bf\u03cd latency, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03b5\u03be\u03cc\u03b4\u03bf\u03c5, rate limits, permissions, logging \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7 \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c1\u03af\u03c3\u03ba\u03bf \u03c4\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af.<\/p>\n<aside class=\"td-article-note\"><strong>\u039c\u03b9\u03ba\u03c1\u03cc \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2:<\/strong> \u03c4\u03bf distillation \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c3\u03ae\u03bc\u03b1 \u03c4\u03bf\u03c5 teacher \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03c4\u03c5\u03c6\u03bb\u03ad\u03c2 \u03b3\u03c9\u03bd\u03af\u03b5\u03c2 \u03c4\u03bf\u03c5. \u0397 \u03c4\u03b1\u03c7\u03cd\u03c4\u03b7\u03c4\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03bc\u03b5\u03c4\u03c1\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03bf\u03b9 \u03b5\u03c0\u03b9\u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03b5\u03c2 \u03b4\u03b9\u03b1\u03c6\u03c5\u03b3\u03ad\u03c2, \u03bf\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c8\u03b5\u03c5\u03b4\u03b5\u03af\u03c2 \u03c3\u03c5\u03bd\u03b1\u03b3\u03b5\u03c1\u03bc\u03bf\u03af.<\/aside>\n<h2 id=\"epta-katigories-kindynou\">\u0391\u03c0\u03cc 12 hazards \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03be\u03b5\u03ba\u03af\u03bd\u03b7\u03c3\u03b1\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1 \u03c4\u03bf\u03c5 MLCommons AILuminate v1.0, \u03b7 \u03bf\u03c0\u03bf\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 12 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5 \u03b3\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2 chat systems. \u0393\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf classification task, \u03bf\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03c3\u03c5\u03bc\u03c0\u03c4\u03cd\u03c7\u03b8\u03b7\u03ba\u03b1\u03bd \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac: \u03c3\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b2\u03bb\u03ac\u03b2\u03b7, hate \u03ae \u03b4\u03c5\u03c3\u03c6\u03ae\u03bc\u03b9\u03c3\u03b7, \u03c3\u03b5\u03be\u03bf\u03c5\u03b1\u03bb\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf, \u03b1\u03c5\u03c4\u03bf\u03c4\u03c1\u03b1\u03c5\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2, \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03b5\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b5\u03c2, \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03b5\u03af\u03c2 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03c5\u03bc\u03b2\u03bf\u03c5\u03bb\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03bd\u03bf\u03bc\u03b5\u03c2 \u03c0\u03c1\u03ac\u03be\u03b5\u03b9\u03c2.<\/p>\n<p>\u0397 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03bf\u03c5 standard \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c5\u03b8\u03b1\u03b9\u03c1\u03b5\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03b5 \u03c4\u03c1\u03af\u03c4\u03bf\u03c5\u03c2 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ac\u03b2\u03bf\u03c5\u03bd \u03c4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c0\u03b1\u03b8\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0397 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 \u03cc\u03bc\u03c9\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03b7. \u038c\u03c4\u03b1\u03bd \u03b4\u03ce\u03b4\u03b5\u03ba\u03b1 hazards \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c0\u03c4\u03ac labels, \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03b5\u03bd\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03b1 \u03b4\u03b9\u03b5\u03c5\u03c1\u03cd\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9. \u0397 harmful-advice \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03b5\u03c0\u03b5\u03ba\u03c4\u03ac\u03b8\u03b7\u03ba\u03b5 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf standardized specialized-advice hazard \u03ba\u03b1\u03b9 \u03b1\u03c1\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03c7\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03c0\u03b9\u03bf \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03b7 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03c3\u03b5 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b5\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<p>\u0397 \u03b4\u03b9\u03b5\u03c0\u03b1\u03c6\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 multi-label: \u03ba\u03ac\u03b8\u03b5 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf sigmoid \u03ba\u03b1\u03b9 threshold. \u03a4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03cc\u03bc\u03c9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac single-label. \u039c\u03cc\u03bd\u03bf 13 \u03b1\u03c0\u03cc \u03c4\u03b1 25.997 unsafe labels \u03c3\u03c4\u03bf commercial bucket \u03b5\u03af\u03c7\u03b1\u03bd \u03b4\u03cd\u03bf \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2, \u03b5\u03bd\u03ce \u03b4\u03b5\u03bd \u03c5\u03c0\u03ae\u03c1\u03be\u03b5 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03c3\u03c4\u03bf noncommercial \u03ae \u03c3\u03c4\u03bf benchmark bucket. \u0386\u03c1\u03b1 \u03c4\u03bf software \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c8\u03b5\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac labels, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae multi-label \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03b8\u03b5\u03af.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03c4\u03bf\u03c5 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/model-cards-open-weight-ai-governance\/\">model cards \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03b3\u03b3\u03c5\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03b1<\/a>. \u0397 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03bc\u03b9\u03b1\u03c2 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03c3\u03c4\u03b7\u03bd \u03ad\u03be\u03bf\u03b4\u03bf \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ad\u03c2 training signal \u03ae \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<h2 id=\"adeiodotisi-os-metavliti\">\u0397 \u03b1\u03b4\u03b5\u03b9\u03bf\u03b4\u03cc\u03c4\u03b7\u03c3\u03b7 \u03c9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae<\/h2>\n<p>\u03a4\u03bf corpus \u03be\u03b5\u03ba\u03af\u03bd\u03b7\u03c3\u03b5 \u03b1\u03c0\u03cc 25 \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 datasets. \u0388\u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae multiple choice \u03bc\u03b5 \u03ba\u03c1\u03c5\u03c6\u03cc answer key \u03b4\u03b5\u03bd \u03c4\u03b1\u03af\u03c1\u03b9\u03b1\u03b6\u03b5 \u03c3\u03c4\u03bf task \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03b1 24 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc \u03c3\u03c7\u03ae\u03bc\u03b1. \u0391\u03bd\u03c4\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03c7\u03c9\u03bd\u03b5\u03c5\u03b8\u03bf\u03cd\u03bd \u03cc\u03bb\u03b1, \u03c4\u03bf pipeline \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03c4\u03c1\u03af\u03b1 buckets \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03c1\u03cc\u03bb\u03bf.<\/p>\n<p>\u03a4\u03bf commercial bucket \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 15 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03bc\u03b5 \u03ac\u03b4\u03b5\u03b9\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03ba\u03b1\u03b9 75.112 rows. \u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 noncommercial \u03ae copyleft \u03c0\u03b7\u03b3\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd research-only bucket 22.332 rows. \u03a0\u03ad\u03bd\u03c4\u03b5 benchmark \u03c0\u03b7\u03b3\u03ad\u03c2 \u03c3\u03c7\u03b7\u03bc\u03b1\u03c4\u03af\u03b6\u03bf\u03c5\u03bd evaluation bucket 6.802 rows \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03b9\u03c3\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>\n<p>\u0388\u03c4\u03c3\u03b9 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b4\u03cd\u03bf \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b1 training data: \u03b7 deployable \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf commercial bucket, \u03b5\u03bd\u03ce \u03b7 research \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03bf noncommercial. \u03a4\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03b1\u03c5\u03c4\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c7\u03b5\u03b4\u03af\u03b1\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf license boundary \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c0\u03cc\u03c3\u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03ae \u03c7\u03ac\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf deployment path.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b1\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 row \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03ad\u03c9\u03c2 \u03c4\u03bf training manifest \u03ba\u03b1\u03b9 \u03c4\u03bf model artifact. \u0397 \u03af\u03b4\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03b5 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd <a href=\"https:\/\/twodots.gr\/data-silos-audit-trail-smart-manufacturing\/\">\u03c4\u03b1 data silos \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf audit trail<\/a>: \u03b1\u03bd \u03c4\u03bf lineage \u03c7\u03b1\u03b8\u03b5\u03af \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u03b7 \u03c3\u03c5\u03bc\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03b1\u03b8\u03b5\u03af \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1 \u03c3\u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">\u03a4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1<\/p>\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf paper \u03ba\u03b1\u03b9 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf corpus, benchmark \u03ba\u03b1\u03b9 hardware profile.<\/p>\n<\/div>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">24<\/span><span class=\"td-metric-label\">\u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03b1 datasets \u03bc\u03c0\u03ae\u03ba\u03b1\u03bd \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc pipeline<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">6.361<\/span><span class=\"td-metric-label\">scorable rows \u03c3\u03c4\u03bf \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf gold benchmark<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">24,49 ms<\/span><span class=\"td-metric-label\">median latency \u03c4\u03bf\u03c5 DistilBERT \u03c3\u03b5 desktop CPU<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">3,8%<\/span><span class=\"td-metric-label\">benign false-positive rate \u03c4\u03bf\u03c5 generative student<\/span><\/div>\n<\/div>\n<p class=\"td-chart-source\">\u03a0\u03b7\u03b3\u03ae: arXiv 2608.21570 v1, \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 2, 7 \u03ba\u03b1\u03b9 9.<\/p>\n<\/div>\n<h2 id=\"leakage-gold-benchmark\">Leakage control \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf gold benchmark<\/h2>\n<p>\u0397 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ae \u03ac\u03bc\u03c5\u03bd\u03b1\u03c2 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03b5 leakage \u03ae\u03c4\u03b1\u03bd exact hash \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b1 prompts. \u038c\u03c4\u03b1\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf prompt \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03b6\u03cc\u03c4\u03b1\u03bd \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 buckets, \u03c4\u03bf evaluation bucket \u03b5\u03af\u03c7\u03b5 \u03c0\u03c1\u03bf\u03c4\u03b5\u03c1\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 commercial \u03ba\u03b1\u03b9 \u03b5\u03ba\u03b5\u03af\u03bd\u03bf \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 noncommercial. \u0388\u03c4\u03c3\u03b9 \u03ad\u03bd\u03b1 benchmark prompt \u03b1\u03c6\u03b1\u03b9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ac \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1.<\/p>\n<p>\u03a0\u03c1\u03bf\u03b1\u03b9\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03ac\u03b4\u03b9\u03bf MinHash \u03ba\u03b1\u03b9 locality-sensitive hashing \u03b5\u03bd\u03c4\u03cc\u03c0\u03b9\u03b6\u03b5 near-duplicates. \u03a4\u03bf pipeline \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 bucket \u03ad\u03c7\u03b1\u03bd\u03b5 \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 1% \u03c4\u03c9\u03bd rows. \u0391\u03c5\u03c4\u03ae \u03b7 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03ba\u03b1\u03bc\u03af\u03b1 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03ac\u03bb\u03c5\u03c8\u03b7, \u03b1\u03bb\u03bb\u03ac \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b9\u03bc\u03bf \u03ba\u03b1\u03b9 \u03bf\u03c1\u03b1\u03c4\u03cc.<\/p>\n<p>\u039c\u03b5\u03c4\u03ac \u03c4\u03b1 \u03c6\u03af\u03bb\u03c4\u03c1\u03b1, \u03c4\u03bf gold benchmark \u03b5\u03af\u03c7\u03b5 6.361 scorable rows \u03c3\u03b5 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 slices. \u03a4\u03b1 labels \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd teacher, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf test \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c4\u03bf\u03bd student \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bc\u03b1\u03b8\u03b5 \u03bd\u03b1 \u03bc\u03b9\u03bc\u03b5\u03af\u03c4\u03b1\u03b9 \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03ba\u03c1\u03b9\u03c4\u03ae \u03c0\u03bf\u03c5 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af. \u03a4\u03bf benchmark \u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03bc\u03b2\u03b1\u03bd\u03b5 \u03ba\u03b1\u03b9 600 harmless prompts, \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 over-defense.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf. \u0388\u03bd\u03b1 \u03c6\u03af\u03bb\u03c4\u03c1\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc unsafe recall \u03b1\u03c0\u03bb\u03ce\u03c2 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bc\u03c0\u03bb\u03bf\u03ba\u03ac\u03c1\u03b5\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03bc\u03b1\u03b6\u03af \u03c0\u03cc\u03c3\u03bf\u03c5\u03c2 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5\u03c2 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c3\u03b5\u03c2 \u03b1\u03b2\u03bb\u03b1\u03b2\u03b5\u03af\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03b4\u03b9\u03b1\u03ba\u03cc\u03c0\u03c4\u03b5\u03b9. \u0395\u03af\u03bd\u03b1\u03b9 \u03bf \u03af\u03b4\u03b9\u03bf\u03c2 \u03bb\u03cc\u03b3\u03bf\u03c2 \u03c0\u03bf\u03c5 <a href=\"https:\/\/twodots.gr\/ai-benchmark-harness-allazei-nikiti\/\">\u03c4\u03bf benchmark harness \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c6\u03b1\u03b9\u03bd\u03bf\u03bc\u03b5\u03bd\u03b9\u03ba\u03cc \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae<\/a> \u03cc\u03c4\u03b1\u03bd \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03bf dataset, \u03b7 \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7 labels \u03ae \u03bf \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 aggregation.<\/p>\n<h2 id=\"teacher-kai-students\">\u0388\u03bd\u03b1\u03c2 teacher \u03ba\u03b1\u03b9 \u03ad\u03be\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03af students<\/h2>\n<p>\u03a9\u03c2 labeling teacher \u03b5\u03c0\u03b9\u03bb\u03ad\u03c7\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf Llama Guard 3 8B \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1. \u0395\u03c0\u03b9\u03c3\u03ae\u03bc\u03b1\u03bd\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 97.000 training prompts \u03ba\u03b1\u03b9 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03b4\u03cd\u03bf \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b1 overrides \u03c3\u03b5 datasets \u03c0\u03bf\u03c5 \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 harmful by construction. \u03a4\u03b1 overrides \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 teacher-generated \u03b5\u03c4\u03b9\u03ba\u03ad\u03c4\u03b5\u03c2 \u03c3\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf ground truth.<\/p>\n<p>\u039f \u03c3\u03c4\u03cc\u03bb\u03bf\u03c2 \u03c4\u03c9\u03bd students \u03ba\u03ac\u03bb\u03c5\u03c8\u03b5 \u03ad\u03be\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2: TF-IDF \u03bc\u03b5 logistic regression, TextCNN, BiLSTM, MiniLM-L6, DistilBERT \u03ba\u03b1\u03b9 quantized Qwen2.5-0.5B. \u038c\u03bb\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03b5\u03c0\u03c4\u03b1\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03bf \u03c3\u03c4\u03cc\u03c7\u03bf. \u0397 \u03c0\u03bf\u03b9\u03ba\u03b9\u03bb\u03af\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03bd \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03ae \u03b1\u03bd \u03c4\u03bf training recipe \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc compute profile.<\/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\">Lexical \u03ba\u03b1\u03b9 shallow<\/p>\n<p>TF-IDF, TextCNN \u03ba\u03b1\u03b9 BiLSTM \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd latency \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf 1 ms \u03ae \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1. \u0395\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bf \u03cc\u03b3\u03ba\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c3\u03b5 paraphrases \u03ba\u03b1\u03b9 adversarial \u03b4\u03b9\u03b1\u03c4\u03c5\u03c0\u03ce\u03c3\u03b5\u03b9\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">0,39\u20131,34 ms<\/span><span class=\"td-badge\">\u03a7\u03b1\u03bc\u03b7\u03bb\u03cc compute<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Encoders<\/p>\n<p>MiniLM \u03ba\u03b1\u03b9 DistilBERT \u03b4\u03af\u03bd\u03bf\u03c5\u03bd \u03c0\u03bb\u03bf\u03c5\u03c3\u03b9\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u03a3\u03c4\u03bf paper, \u03bf encoder \u03b2\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf quality-latency \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c4\u03bf\u03c5 \u03c3\u03c4\u03cc\u03bb\u03bf\u03c5.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">7,62\u201324,49 ms<\/span><span class=\"td-badge\">\u039a\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf trade-off<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Generative student<\/p>\n<p>\u03a4\u03bf quantized Qwen \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03ba\u03bf\u03b9\u03bd\u03cc generative serving path \u03ba\u03b1\u03b9 \u03b5\u03af\u03c7\u03b5 \u03c4\u03bf \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf benign FPR, \u03b1\u03bb\u03bb\u03ac \u03ae\u03c4\u03b1\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03b1\u03c1\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf DistilBERT \u03c3\u03c4\u03bf desktop profile.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">127,52 ms<\/span><span class=\"td-badge\">3,8% benign FPR<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b7 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03bf\u03cd\u03c4\u03b5 \u03b7 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7. \u03a4\u03bf deployment target, \u03b7 \u03bf\u03c5\u03c1\u03ac \u03b1\u03b9\u03c4\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd, \u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03ac\u03b8\u03b5 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03bf\u03b9\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c4\u03b7\u03c2 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf. \u0397 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/s1-mini-topiko-ai-katharizei-voice-to-text\/\">\u03c4\u03bf\u03c0\u03b9\u03ba\u03cc AI \u03b3\u03b9\u03b1 voice-to-text<\/a>: \u03b7 \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 edge inference \u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf workflow \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03bd \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c7\u03c9\u03c1\u03ac \u03c3\u03c4\u03b7 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ae.<\/p>\n<h2 id=\"poiotita-kai-over-defense\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 over-defense<\/h2>\n<p>\u03a3\u03c4\u03bf adversarial headline slice, students \u03ba\u03b1\u03b9 teachers \u03b5\u03af\u03c7\u03b1\u03bd \u03b5\u03c0\u03b9\u03ba\u03b1\u03bb\u03c5\u03c0\u03c4\u03cc\u03bc\u03b5\u03bd\u03b1 confidence intervals. \u03a4\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 distilled students \u03c4\u03b1\u03af\u03c1\u03b9\u03b1\u03be\u03b1\u03bd \u03c4\u03bf\u03bd teacher \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 test, \u03cc\u03c7\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf\u03bd \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b1\u03bd. \u03a3\u03c4\u03bf clean reference slice \u03bf\u03b9 guards \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03b9 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03b2\u03ac\u03bb\u03bb\u03bf\u03c5\u03bd claim \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae\u03c2.<\/p>\n<p>\u0397 \u03c3\u03b1\u03c6\u03ad\u03c3\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b1 harmless prompts. \u039f generative student \u03b5\u03af\u03c7\u03b5 benign false-positive rate 3,8%, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 4,8% \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd teacher 8B \u03ba\u03b1\u03b9 11,5% \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf teacher. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc \u03b3\u03b9\u03b1 user experience, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03b2\u03bb\u03b1\u03b2\u03ae \u03b1\u03b9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 unsafe.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03c9\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c4\u03bf per-class rebalancing \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03cc\u03c4\u03b9 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03c4\u03c1\u03af\u03c4\u03b1 \u03c4\u03bf\u03c5 corpus \u03b5\u03af\u03bd\u03b1\u03b9 harmless prompts. \u0394\u03b5\u03bd \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b1\u03bd \u03cc\u03bc\u03c9\u03c2 \u03c4\u03bf \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc ablation \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03ba\u03bd\u03c5\u03b5 \u03b1\u03c5\u03c4\u03cc\u03bd \u03c4\u03bf\u03bd \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc. \u0386\u03c1\u03b1 \u03c4\u03bf \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf FPR \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 benchmark, \u03b5\u03bd\u03ce \u03b7 \u03b1\u03b9\u03c4\u03af\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7.<\/p>\n<p>\u03a4\u03bf coarse binary \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 safe \u03ae unsafe \u03ae\u03c4\u03b1\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7 \u03bb\u03b5\u03c0\u03c4\u03ae \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1\u03c2. \u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b1\u03c0\u03bb\u03ae \u03c0\u03cd\u03bb\u03b7 block-or-pass \u03b1\u03c5\u03c4\u03cc \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03cc. \u0393\u03b9\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03c0\u03bf\u03b9\u03b1 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03c0\u03b1\u03c1\u03b1\u03b2\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5, \u03c4\u03b1 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ac per-category scores \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2.<\/p>\n<h2 id=\"kostos-commercial-only\">\u03a0\u03cc\u03c3\u03bf \u03ba\u03cc\u03c3\u03c4\u03b9\u03c3\u03b5 \u03b7 commercial-only \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae<\/h2>\n<p>\u03a3\u03c4\u03bf one-factor-at-a-time ablation \u03c4\u03bf\u03c5 TextCNN, \u03b7 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ae\u03ba\u03b7 \u03c4\u03bf\u03c5 noncommercial bucket \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03bf headline macro-F1 \u03ba\u03b1\u03c4\u03ac 0,005. \u03a4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1, \u03c4\u03bf benign false-positive rate \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 0,027, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c7\u03b5\u03b9\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf. \u039a\u03b1\u03b9 \u03bf\u03b9 \u03b4\u03cd\u03bf \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2\u00b7 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf lever \u03c9\u03c2 \u03b5\u03bd\u03c4\u03cc\u03c2 \u03c4\u03bf\u03c5 sampling noise.<\/p>\n<p>\u0394\u03b5\u03bd \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 noncommercial \u03ae copyleft datasets \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03c4\u03c4\u03ac. \u03a0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03cc\u03c4\u03b9, \u03c3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae, \u03bc\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf benchmark, \u03b7 deployable \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae \u03ad\u03c7\u03b1\u03c3\u03b5 \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b7 headline \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03af\u03c7\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03b1 harmless prompts.<\/p>\n<p>\u03a4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf deployment. \u0391\u03bd \u03c4\u03bf lineage \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af\u03c4\u03b1\u03b9, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03b5 research-only \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc performance delta. \u03a7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7, \u03b7 \u03b1\u03b4\u03b5\u03b9\u03bf\u03b4\u03cc\u03c4\u03b7\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03c3\u03b1\u03c6\u03ae \u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c6\u03bf\u03cd \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b5\u03af \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<aside class=\"td-article-note\"><strong>\u0397 \u03ac\u03b4\u03b5\u03b9\u03b1 \u03c4\u03bf\u03c5 dataset \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03b7 \u03c4\u03b7\u03c2:<\/strong> \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03cc\u03c1\u03c9\u03bd, provenance, attribution, \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c0\u03b7\u03b3\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2. \u03a4\u03bf paper \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03cc\u03c7\u03b9 \u03bd\u03bf\u03bc\u03b9\u03ba\u03ae \u03b3\u03bd\u03c9\u03bc\u03bf\u03b4\u03cc\u03c4\u03b7\u03c3\u03b7.<\/aside>\n<h2 id=\"cpu-latency-tradeoff\">CPU latency \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc trade-off<\/h2>\n<p>\u0397 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03b5 AMD Ryzen 5 5600X \u03bc\u03b5 16 GB RAM, batch size 1, warm models, 120 prompts \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 timed passes. \u03a3\u03c4\u03bf desktop profile, \u03c4\u03bf TextCNN \u03b5\u03af\u03c7\u03b5 median latency 0,39 ms, \u03c4\u03bf TF-IDF 1,10 ms, \u03c4\u03bf BiLSTM 1,34 ms, \u03c4\u03bf MiniLM 7,62 ms \u03ba\u03b1\u03b9 \u03c4\u03bf DistilBERT 24,49 ms.<\/p>\n<p>\u039c\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc \u03c3\u03b5 \u03b4\u03cd\u03bf virtual CPUs, \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03bc\u03b7 generative \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03ba\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc 28 ms. \u03a4\u03bf quantized Qwen student \u03c7\u03c1\u03b5\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 127,52 ms \u03c3\u03c4\u03bf desktop \u03ba\u03b1\u03b9 178,56 ms \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf vCPU. \u03a0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b4\u03b9\u03b1\u03b4\u03c1\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc, \u03b1\u03bb\u03bb\u03ac \u03ae\u03c4\u03b1\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03b1\u03c1\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf DistilBERT \u03ba\u03b1\u03b9 \u03b5\u03af\u03c7\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf adversarial macro-F1 \u03c3\u03c4\u03bf \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc quality-latency comparison.<\/p>\n<p>\u039f\u03b9 teachers \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf CPU profile, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1 8B guard \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b4\u03cd\u03bf virtual cores \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf deployment \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u0395\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03b1\u03bd\u03cd\u03c0\u03b1\u03c1\u03ba\u03c4\u03b7 \u03ac\u03bc\u03b5\u03c3\u03b7 speedup \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7. \u03a4\u03bf \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf\u03c2 \u03bf \u03bc\u03b9\u03ba\u03c1\u03cc\u03c2 \u03c3\u03c4\u03cc\u03bb\u03bf\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03b5 millisecond \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 hardware \u03cc\u03c0\u03bf\u03c5 \u03ad\u03bd\u03b1 multi-billion-parameter guard \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03b4\u03b5\u03bd \u03b8\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03cc\u03c4\u03b1\u03bd.<\/p>\n<p>\u03a3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2: p95 \u03ba\u03b1\u03b9 p99 latency, cold start, \u03bc\u03bd\u03ae\u03bc\u03b7, concurrency, \u03bc\u03ae\u03ba\u03bf\u03c2 prompt, tokenization, throughput \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c5\u03c0\u03cc backpressure. \u03a4\u03bf p50 \u03b5\u03bd\u03cc\u03c2 warm \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03ae \u03b1\u03c1\u03c7\u03ae, \u03cc\u03c7\u03b9 capacity plan.<\/p>\n<h2 id=\"rebalancing-taxonomia\">Rebalancing \u03ba\u03b1\u03b9 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1: \u03c0\u03bf\u03cd \u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1<\/h2>\n<p>\u03a4\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf ablation \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf per-class positive weighting. \u038c\u03c4\u03b1\u03bd \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5, \u03c4\u03bf headline macro-F1 \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 0,171, \u03c4\u03bf stress macro-F1 \u03ba\u03b1\u03c4\u03ac 0,143, \u03c4\u03bf F1 \u03c4\u03b7\u03c2 \u03b1\u03c1\u03b1\u03b9\u03ae\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1\u03c2 self-harm \u03ba\u03b1\u03c4\u03ac 0,377 \u03ba\u03b1\u03b9 \u03c4\u03bf unsafe recall \u03ba\u03b1\u03c4\u03ac 0,227. \u03a4\u03bf false-positive rate \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 0,077, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7: \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03bf\u03ad\u03b2\u03bb\u03b5\u03c0\u03b5 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b5\u03c1\u03b1 safe \u03ba\u03b1\u03b9 \u03ad\u03c7\u03b1\u03bd\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 harmful prompts.<\/p>\n<p>\u0386\u03c1\u03b1 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b1\u03c1\u03c7\u03b9\u03ba\u03bf\u03cd \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7: \u03b7 decisive \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c3\u03c4\u03bf headline macro-F1 \u03ae\u03c4\u03b1\u03bd 0,171, \u03cc\u03c7\u03b9 0,106. \u03a4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03af\u03b1 weighting \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae labels \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03c9\u03bd \u03bb\u03b1\u03b8\u03ce\u03bd \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ae\u03ba\u03b7 rows.<\/p>\n<p>\u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03cc\u03c1\u03b9\u03bf \u03ae\u03c4\u03b1\u03bd \u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1. \u0397 harmful-advice \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03b5\u03af\u03c7\u03b5 F1 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 0,20 \u03ba\u03b1\u03b9 recall \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf 0,14 \u03c3\u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 benchmark, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd 8B teacher. \u038c\u03c4\u03b1\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf failure pattern \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b4\u03af\u03ba\u03c4\u03c5\u03bf 4 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03c5\u03c1\u03af\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03c9\u03bd \u03ad\u03c9\u03c2 teacher 8 \u03b4\u03b9\u03c3\u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03c5\u03c1\u03af\u03c9\u03bd, \u03b7 \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03bf \u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c4\u03b7\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1\u03c2 \u03b4\u03b5\u03bd \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03b1\u03c0\u03cc safe advice \u03ba\u03b1\u03b9 illicit acts.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c4\u03bf harmful advice \u03c3\u03c4\u03bf standardized specialized-advice hazard \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c5\u03bc\u03b2\u03bf\u03c5\u03bb\u03ae \u03b3\u03b9\u03b1 \u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03bc\u03b9\u03b1\u03c2 \u03c0\u03c1\u03ac\u03be\u03b7\u03c2 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c8\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03c4\u03b7\u03c2 \u03af\u03b4\u03b9\u03b1\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03ac\u03be\u03b7\u03c2. \u0393\u03b9\u03b1 product teams, \u03b1\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03bd\u03b1\u03b8\u03b5\u03ce\u03c1\u03b7\u03c3\u03b7 policy \u03ba\u03b1\u03b9 annotation guide \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ac\u03bc\u03b5\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">Production release gate<\/p>\n<p class=\"td-decision-title\">\u039c\u03b7\u03bd \u03b5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 safety classifier \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 aggregate score<\/p>\n<p>\u0391\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03c4\u03b5 provenance \u03b1\u03bd\u03ac dataset, leakage report, per-class recall, benign false-positive rate, latency \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc hardware, thresholds \u03b1\u03bd\u03ac use case \u03ba\u03b1\u03b9 fallback \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03b2\u03ad\u03b2\u03b1\u03b9\u03bf. \u039a\u03ac\u03b8\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae taxonomy \u03ae training bucket \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03ad\u03bf benchmark.<\/p>\n<\/div>\n<h2 id=\"production-governance\">\u03a4\u03b9 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc production \u03c7\u03c1\u03ae\u03c3\u03b7<\/h2>\n<p>\u0388\u03bd\u03b1 deployable guard \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae contract: \u03c0\u03bf\u03b9\u03bf input \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9, \u03c0\u03bf\u03b9\u03b1 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9, \u03c0\u03bf\u03b9\u03b5\u03c2 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b5\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9, \u03c4\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf score \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf threshold \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf component \u03c0\u03b1\u03af\u03c1\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u0397 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c3\u03c4\u03b1 \u03b1\u03b3\u03b3\u03bb\u03b9\u03ba\u03ac, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b4\u03b5\u03bd \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 claim \u03b3\u03b9\u03b1 \u03b5\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac \u03ae \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae multilingual \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7.<\/p>\n<p>\u03a4\u03bf training manifest \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 source, license, version, transformations, hashes, deduplication outcome \u03ba\u03b1\u03b9 bucket. \u03a4\u03bf model artifact \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 teacher version, student architecture, seed, thresholds, calibration data \u03ba\u03b1\u03b9 benchmark report. \u03a3\u03c4\u03bf runtime, \u03ba\u03ac\u03b8\u03b5 verdict \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03b5\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 policy \u03ba\u03b1\u03b9 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03c0\u03bf\u03c5 \u03c4\u03bf \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03ae\u03c2 \u03bc\u03b5 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/airep-apodeiktiko-apofaseon-ai-runtime\/\">\u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03b9\u03b1\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 AI runtime<\/a>. \u03a7\u03c9\u03c1\u03af\u03c2 model, data \u03ba\u03b1\u03b9 policy provenance, \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03c4\u03b9 \u03bc\u03c0\u03bb\u03bf\u03ba\u03b1\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b1\u03bb\u03bb\u03ac \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bc\u03b5 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03b3\u03b9\u03b1\u03c4\u03af \u03c3\u03c5\u03bd\u03ad\u03b2\u03b7 \u03ae \u03b1\u03bd \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b8\u03b1 \u03bb\u03b7\u03c6\u03b8\u03b5\u03af \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc update.<\/p>\n<p>\u03a4\u03bf NIST AI RMF \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03c1\u03af\u03c3\u03ba\u03bf\u03c5 \u03c3\u03c4\u03b9\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b5\u03c2 Govern, Map, Measure \u03ba\u03b1\u03b9 Manage \u03ba\u03b1\u03b9 \u03b4\u03af\u03bd\u03b5\u03b9 \u03ad\u03bc\u03c6\u03b1\u03c3\u03b7 \u03c3\u03b5 testing \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf deployment \u03ba\u03b1\u03b9 monitoring \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1. \u0393\u03b9\u03b1 \u03ad\u03bd\u03b1 safety classifier \u03b1\u03c5\u03c4\u03cc \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 red-team cases, benign traffic, drift checks, review \u03c8\u03b5\u03c5\u03b4\u03ce\u03bd \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ce\u03bd, incident process \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 rollback.<\/p>\n<p>\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ae \u03ac\u03bc\u03c5\u03bd\u03b1\u03c2. \u03a3\u03c4\u03bf fixed threshold \u03c4\u03bf\u03c5 paper, \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c4\u03bf \u03ad\u03bd\u03b1 \u03c4\u03ad\u03c4\u03b1\u03c1\u03c4\u03bf \u03c4\u03c9\u03bd harmful prompts \u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03bf\u03bd teacher. \u039f classifier \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03b9\u03c3\u03c4\u03b5\u03af \u03c9\u03c2 \u03b1\u03bb\u03ac\u03bd\u03b8\u03b1\u03c3\u03c4\u03bf \u03c6\u03c1\u03ac\u03b3\u03bc\u03b1, \u03b1\u03bb\u03bb\u03ac \u03c9\u03c2 \u03ad\u03bd\u03b1 control \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 layered architecture.<\/p>\n<h2 id=\"epta-vimata-pilot\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf pilot<\/h2>\n<p>\u0388\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cc pilot \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc traffic profile. \u0394\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ac \u03c4\u03bf paper. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c0\u03bf\u03c5 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b5\u03c2: \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae, \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf benchmark \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c4\u03cc\u03c3\u03bf \u03c4\u03b1 misses \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03bf over-defense.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0391\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03c3\u03b5 CPU deployment<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 safety contract<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03b1\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b1\u03b9 prompt, output \u03ae \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf, \u03c0\u03bf\u03b9\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd block, review \u03ae \u03b1\u03c0\u03bb\u03ae \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 override.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u03a7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae\u03c3\u03c4\u03b5 data \u03ba\u03b1\u03b9 \u03ac\u03b4\u03b5\u03b9\u03b5\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03ad\u03bd\u03c9\u03c3\u03b7<\/strong>\n<p>\u0394\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03c4\u03b5 source, license, version, attribution \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b1\u03bd\u03ac row \u03ae shard. \u0394\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac buckets \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc normalization \u03ba\u03b1\u03b9 training.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u0391\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf benchmark<\/strong>\n<p>\u0395\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03c4\u03b5 exact \u03ba\u03b1\u03b9 near-duplicate checks, \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 immutable evaluation set \u03ba\u03b1\u03b9 \u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03b8\u03b5\u03af\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03c4\u03b1 labels \u03c4\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd teacher \u03c0\u03bf\u03c5 \u03b4\u03af\u03bd\u03b5\u03b9 supervision.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf \u03ba\u03b1\u03b9 over-defense<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 per-class precision, recall \u03ba\u03b1\u03b9 F1 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 binary unsafe recall \u03ba\u03b1\u03b9 benign false-positive rate. \u039c\u03b7\u03bd \u03ba\u03c1\u03cd\u03b2\u03b5\u03c4\u03b5 \u03b1\u03c1\u03b1\u03b9\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc micro average.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c3\u03b1\u03c2 hardware<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 warm \u03ba\u03b1\u03b9 cold latency, p50\/p95\/p99, \u03bc\u03bd\u03ae\u03bc\u03b7, concurrency \u03ba\u03b1\u03b9 throughput \u03c3\u03c4\u03bf CPU profile \u03c4\u03b7\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae\u03c2, \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03bc\u03ae\u03ba\u03b7 prompts.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u039a\u03b1\u03bb\u03b9\u03bc\u03c0\u03c1\u03ac\u03c1\u03b5\u03c4\u03b5 thresholds \u03ba\u03b1\u03b9 fallback<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 thresholds \u03b1\u03c0\u03cc \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 false negative \u03ba\u03b1\u03b9 false positive. \u03a3\u03c4\u03b5\u03af\u03bb\u03c4\u03b5 \u03bf\u03c1\u03b9\u03b1\u03ba\u03ad\u03c2 \u03ae \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03c1\u03af\u03c3\u03ba\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf guard \u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf review.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 drift \u03ba\u03b1\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 rollback<\/strong>\n<p>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 verdict \u03bc\u03b5 model \u03ba\u03b1\u03b9 policy version, \u03b5\u03c0\u03b1\u03bd\u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03c4\u03b5 \u03c4\u03bf benchmark \u03c3\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 taxonomy \u03ae data \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 artifact.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0397 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03b1\u03c7\u03b8\u03b5\u03af \u03c3\u03b5 MLOps \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03bf\u03cd\u03c2 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 gates \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac. \u038c\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/geographic-domain-shift-ai-modelo-se-nees-agores\/\">geographic domain shift<\/a>, \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03b5 \u03ad\u03bd\u03b1 dataset, \u03bc\u03b9\u03b1 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03ae \u03bc\u03b9\u03b1 \u03b1\u03b3\u03bf\u03c1\u03ac \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b7.<\/p>\n<h2 id=\"periorismoi-symperasma\">\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 preprint \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 head-to-head \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf \u03c0\u03b5\u03b4\u03af\u03bf open guards, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bf\u03b9 taxonomies \u03b4\u03b5\u03bd \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac. \u03a4\u03b1 gold labels \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03bc\u03b5 mapped labels \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc use case. Training \u03ba\u03b1\u03b9 evaluation \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03b3\u03b3\u03bb\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03b7 multi-label \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03b4\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac.<\/p>\n<p>\u03a4\u03b1 latency numbers \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf Ryzen 5 5600X, warm models \u03ba\u03b1\u03b9 batch size 1. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 SLA \u03b3\u03b9\u03b1 cloud instance, edge appliance \u03ae shared server. \u0395\u03c0\u03af\u03c3\u03b7\u03c2, \u03bf teacher \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf constrained CPU profile, \u03ac\u03c1\u03b1 \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf \u03b5\u03bd\u03b9\u03b1\u03af\u03bf speedup ratio \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 8B guard.<\/p>\n<p>\u03a0\u03b1\u03c1\u03ac \u03c4\u03bf\u03c5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2, \u03b7 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae. \u0397 data licensing \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03c5\u03c0\u03bf\u03c3\u03b7\u03bc\u03b5\u03af\u03c9\u03c3\u03b7, \u03bf encoder \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf quality-latency trade-off \u03c3\u03b5 CPU \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 harmless prompts \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c4\u03b5\u03cd\u03b5\u03b9 \u03c4\u03bf customer experience \u03b1\u03c0\u03cc \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03cc blocking.<\/p>\n<p>\u03a4\u03bf \u03ba\u03c5\u03c1\u03b9\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c1\u03b3\u03b1\u03bd\u03c9\u03c4\u03b9\u03ba\u03cc: model size, taxonomy, data provenance, benchmark independence \u03ba\u03b1\u03b9 runtime metrics \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03bc\u03b1\u03b6\u03af. \u0397 AI safety \u03c3\u03b5 CPU \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03c0\u03c1\u03bf\u03c3\u03c4\u03ac \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 LLM. \u0395\u03af\u03bd\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b1 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd \u03bc\u03b5 \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ac\u03b4\u03b5\u03b9\u03b5\u03c2, \u03bf\u03c1\u03b1\u03c4\u03ad\u03c2 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7\u03c2.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">AI safety \u03c0\u03bf\u03c5 \u03c7\u03c9\u03c1\u03ac \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf guardrail pipeline \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ad\u03c9\u03c2 \u03c4\u03bf runtime<\/p>\n<p>\u0397 TWO DOTS \u03b2\u03bf\u03b7\u03b8\u03ac \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03bf\u03c5\u03bd AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03bc\u03b5 data provenance, benchmark gates, monitoring, fallback \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 deployment \u03c3\u03c4\u03bf \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf infrastructure.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03ce\u03bd \u03ba\u03b1\u03b9 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 AI safety classifier;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03b5\u03af prompts \u03ae \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c9\u03c2 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03ae \u03b5\u03c0\u03b9\u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03b1 \u03ba\u03b1\u03b9, \u03cc\u03c0\u03bf\u03c5 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9, \u03c4\u03b1 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03af\u03b6\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03b7 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03ad\u03bd\u03b1 guard model \u03bd\u03b1 \u03c4\u03c1\u03ad\u03be\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 CPU;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1\u03b9. \u03a3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03bf\u03b9 \u03bc\u03b7 generative students \u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03ba\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc 28 ms median \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc \u03c3\u03b5 \u03b4\u03cd\u03bf virtual CPUs, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc latency \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc hardware, prompt length \u03ba\u03b1\u03b9 concurrency.<\/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 license-aware distillation;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 training data \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b1\u03bd\u03ac \u03cc\u03c1\u03bf\u03c5\u03c2 \u03ac\u03b4\u03b5\u03b9\u03b1\u03c2, \u03ce\u03c3\u03c4\u03b5 deployable \u03ba\u03b1\u03b9 research-only \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03b8\u03bf\u03cd\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03c7\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03af\u03c7\u03b5 \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf quality-latency trade-off;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf paper, \u03bf encoder DistilBERT \u03b2\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c4\u03bf\u03c5 \u03c3\u03c4\u03cc\u03bb\u03bf\u03c5, \u03bc\u03b5 median latency 24,49 ms \u03c3\u03c4\u03bf desktop CPU profile \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc quality-latency \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd generative student.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 harmless prompts \u03c3\u03c4\u03bf benchmark;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf over-defense: \u03c0\u03cc\u03c3\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bb\u03bf\u03ba\u03ac\u03c1\u03b5\u03b9 \u03b1\u03b2\u03bb\u03b1\u03b2\u03ae \u03b1\u03b9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1. \u03a7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03ac, \u03ad\u03bd\u03b1 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc \u03c6\u03af\u03bb\u03c4\u03c1\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03b5\u03bd\u03ce \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\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\">\u0397 commercial-only \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae \u03ae\u03c4\u03b1\u03bd \u03c7\u03b5\u03b9\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0388\u03c7\u03b1\u03c3\u03b5 \u03bc\u03cc\u03bb\u03b9\u03c2 0,005 headline macro-F1 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ae\u03ba\u03b7 noncommercial data \u03ba\u03b1\u03b9 \u03b5\u03af\u03c7\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf benign false-positive rate \u03ba\u03b1\u03c4\u03ac 0,027 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf ablation. \u039f\u03b9 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03ae\u03c4\u03b1\u03bd \u03c4\u03cc\u03c3\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03c4\u03bf per-class rebalancing;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03cc, \u03c4\u03bf headline macro-F1 \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 0,171 \u03ba\u03b1\u03b9 \u03c4\u03bf unsafe recall \u03ba\u03b1\u03c4\u03ac 0,227. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03bf\u03ad\u03b2\u03bb\u03b5\u03c0\u03b5 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b5\u03c1\u03b1 safe, \u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03c8\u03b5\u03c5\u03b4\u03b5\u03af\u03c2 \u03c3\u03c5\u03bd\u03b1\u03b3\u03b5\u03c1\u03bc\u03bf\u03cd\u03c2 \u03b1\u03bb\u03bb\u03ac \u03c7\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 harmful prompts.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03c1\u03ba\u03b5\u03af \u03ad\u03bd\u03b1\u03c2 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c2 classifier \u03c9\u03c2 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc safety layer;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ba\u03b1\u03c4\u03ad\u03b3\u03c1\u03b1\u03c8\u03b5 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c6\u03c5\u03b3\u03ad\u03c2 harmful prompts \u03ba\u03b1\u03b9 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 layered controls, monitoring, \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf fallback \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf \u03c1\u03af\u03c3\u03ba\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\/2608.21570\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 A Reproducible, License-Aware Distillation Recipe for CPU-Deployable Safety Classification<\/a><\/li>\n<li><a href=\"https:\/\/mlcommons.org\/ailuminate\/safety\/\" target=\"_blank\" rel=\"noopener\">MLCommons \u2014 AILuminate Safety Benchmark<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2312.06674\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2411.17713\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Llama Guard 3-1B-INT4<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/5-sec-core\/\" target=\"_blank\" rel=\"noopener\">NIST AIRC \u2014 AI Risk Management Framework Core<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u0397 AI safety \u03c3\u03b5 CPU \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03cc\u03c4\u03b1\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ac\u03b4\u03b5\u03b9\u03b5\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf benchmark, over-defense, rebalancing \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc latency.<\/p>","protected":false},"author":1,"featured_media":105060,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[18337,20708,20709,20710,20180],"class_list":["post-97890","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-safety","tag-cpu-inference","tag-data-licensing","tag-guard-models","tag-knowledge-distillation"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97890","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=97890"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97890\/revisions"}],"predecessor-version":[{"id":105061,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97890\/revisions\/105061"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/105060"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=97890"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=97890"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=97890"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}