{"id":97868,"date":"2026-09-23T10:56:44","date_gmt":"2026-09-23T07:56:44","guid":{"rendered":"https:\/\/twodots.gr\/?p=97868"},"modified":"2026-09-23T10:56:46","modified_gmt":"2026-09-23T07:56:46","slug":"hira-taxinomisi-engrafon-human-review","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/hira-taxinomisi-engrafon-human-review\/","title":{"rendered":"HIRA: \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd \u03bc\u03b5 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1 LLM calls \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf human review"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>Answer first:<\/strong> \u03c4\u03bf HIRA \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c4\u03c4\u03ad\u03c2 LLM \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c3\u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u039a\u03bb\u03b5\u03af\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc OCR, \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7\u03c2, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf\u03c0\u03b9\u03ba\u03cc LLM \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03b9\u03c3\u03c7\u03c5\u03c1\u03ae \u03ba\u03b1\u03b9 \u03b6\u03b7\u03c4\u03ac \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf \u03cc\u03c4\u03b1\u03bd \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1.<\/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 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03c3\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03c1\u03ac\u03c0\u03b5\u03b6\u03b5\u03c2, \u03b1\u03c3\u03c6\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2, \u03bd\u03bf\u03bc\u03b9\u03ba\u03ac \u03c4\u03bc\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 back offices \u03bc\u03b5 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03b5\u03c5\u03c4\u03b9\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03bb\u03af\u03b3\u03b1 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ac labels \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 review. \u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ac, \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd\u03ae\u03ba\u03bf\u03c5\u03bd \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b4\u03b9\u03bf\u03c1\u03b8\u03c9\u03bc\u03ad\u03bd\u03bf \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03bf benchmark \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc corpus trade finance. \u0394\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c4\u03cd\u03c7\u03b5\u03b9 \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03cc\u03c4\u03b1\u03bd \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03b8\u03b5\u03af \u03c3\u03c9\u03c3\u03c4\u03ac\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc dataset.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#ti-einai-hira\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf HIRA \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1<\/a><\/li>\n<li><a href=\"#epicheirimatiko-provlima\">\u03a4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd<\/a><\/li>\n<li><a href=\"#tria-epipeda-apofasis\">\u03a4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 HIRA<\/a><\/li>\n<li><a href=\"#triplos-retrieval\">\u0393\u03b9\u03b1\u03c4\u03af \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03bc\u03bf\u03c1\u03c6\u03ad\u03c2 retrieval<\/a><\/li>\n<li><a href=\"#topiko-llm-verifier\">\u039f \u03c1\u03cc\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c4\u03bf\u03c0\u03b9\u03ba\u03bf\u03cd LLM verifier<\/a><\/li>\n<li><a href=\"#edrm-mnimi-diorthoseon\">EDRM: \u03cc\u03c4\u03b1\u03bd \u03ba\u03ac\u03b8\u03b5 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03bc\u03bd\u03ae\u03bc\u03b7<\/a><\/li>\n<li><a href=\"#tobacco-3482-apotelesmata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c4\u03bf corrected Tobacco-3482<\/a><\/li>\n<li><a href=\"#financial-80-production\">\u0397 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c3\u03c4\u03bf production corpus Financial-80<\/a><\/li>\n<li><a href=\"#thresholds-kai-calibration\">Thresholds, confidence \u03ba\u03b1\u03b9 calibration<\/a><\/li>\n<li><a href=\"#ti-simainei-gia-epicheirisi\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#epta-vimata-pilot\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 pilot<\/a><\/li>\n<li><a href=\"#oria-kai-symperasma\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \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=\"ti-einai-hira\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf HIRA \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1<\/h2>\n<p>\u03a4\u03bf HIRA, Human-in-the-Loop Retrieval-Augmented Cascade, \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 training-free \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd. \u0391\u03bd\u03c4\u03af \u03bd\u03b1 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9 \u03be\u03b1\u03bd\u03ac \u03ad\u03bd\u03b1\u03bd classifier \u03ba\u03ac\u03b8\u03b5 \u03c6\u03bf\u03c1\u03ac \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 templates \u03ae \u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1, \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 retrieval, \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03b5\u03c0\u03b1\u03bb\u03ae\u03b8\u03b5\u03c5\u03c3\u03b7 \u03b1\u03c0\u03cc LLM \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf review. \u03a4\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac\u00b7 \u03b1\u03c5\u03c4\u03cc \u03c0\u03bf\u03c5 \u03b5\u03be\u03b5\u03bb\u03af\u03c3\u03c3\u03b5\u03c4\u03b1\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf index \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03b9\u03b3\u03bc\u03ac\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03c4\u03c9\u03bd \u03c3\u03c5\u03c7\u03bd\u03ce\u03bd \u03c3\u03c5\u03b3\u03c7\u03cd\u03c3\u03b5\u03c9\u03bd.<\/p>\n<p>\u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc RAG workflow \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03c3\u03b1\u03c6\u03ae\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b4\u03c1\u03bf\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2. \u03a4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03ba\u03c4\u03ac \u03b1\u03c0\u03bb\u03ce\u03c2 context \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0395\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03bc\u03b5\u03c4\u03c1\u03ac \u03b1\u03bd \u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03b5\u03c1\u03bd\u03ac \u03ad\u03bd\u03b1 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf \u03cc\u03c1\u03b9\u03bf \u03ba\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bc\u03b1\u03ba\u03ce\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af. \u0393\u03b9\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c0\u03bf\u03c5 \u03ae\u03b4\u03b7 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bd <a href=\"https:\/\/twodots.gr\/infinity-parser2-document-ai-epicheiriseis\/\">Document AI \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1<\/a>, \u03b1\u03c5\u03c4\u03ae \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf \u00ab\u03c0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf;\u00bb \u03c3\u03c4\u03bf \u00ab\u03c0\u03bf\u03b9\u03b1 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd compute \u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03c7\u03c1\u03cc\u03bd\u03bf;\u00bb.<\/p>\n<aside class=\"td-article-note\"><strong>\u038c\u03c1\u03b9\u03bf \u03c4\u03c9\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03c9\u03bd:<\/strong> \u03bf\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c4\u03bf\u03c5 HIRA \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf corrected Tobacco-3482 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc Financial-80. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 splits\u00b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03af\u03b4\u03b9\u03b1 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ae queue rate \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd.<\/aside>\n<h2 id=\"epicheirimatiko-provlima\">\u03a4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd<\/h2>\n<p>\u0397 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 layout-aware \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03bd\u03ad\u03bf \u03ba\u03cd\u03ba\u03bb\u03bf fine-tuning \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1. \u03a3\u03b5 \u03c1\u03c5\u03b8\u03bc\u03b9\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5\u03c2 \u03ba\u03bb\u03ac\u03b4\u03bf\u03c5\u03c2, \u03cc\u03bc\u03c9\u03c2, \u03c4\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c6\u03cd\u03b3\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae, \u03c4\u03b1 cold-start labels \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b2\u03b1\u03c1\u03ce\u03bd \u03bd\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bd\u03ad\u03b1 \u03b5\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7, risk review \u03ba\u03b1\u03b9 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2: \u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03b9\u03c3\u03ae\u03bc\u03b1\u03bd\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03b1\u03ba\u03c1\u03b9\u03b2\u03cc\u03c4\u03b5\u03c1\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b1\u03c1\u03b3\u03ae \u03b1\u03c0\u03cc \u03c4\u03bf inference. \u039f\u03b9 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b1\u03ba\u03c1\u03ac\u03c2 \u03bf\u03c5\u03c1\u03ac\u03c2 \u03ae \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03c3\u03c5\u03bd\u03ce\u03bd\u03c5\u03bc\u03b5\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03af \u03c4\u03cd\u03c0\u03bf\u03b9 invoice \u03ba\u03b1\u03b9 certificate \u03c0\u03bf\u03c5 \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c5\u03c8\u03b7\u03bb\u03cc \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc accuracy. \u0395\u03af\u03bd\u03b1\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03ac \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c3\u03c0\u03ac\u03bd\u03b9\u03c9\u03bd \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd.<\/p>\n<p>\u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03ad\u03bd\u03b1 production \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03ba\u03b1\u03bb\u03cc OCR. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 versioned taxonomy, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf validation set, \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03c4\u03c9\u03bd overrides \u03ba\u03b1\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03c0\u03bf\u03c5 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/ai-agents-etairika-eggrafa-domi-anagnosi-proza-syggrafi\/\">AI agents \u03b3\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1<\/a>: \u03b7 \u03b4\u03bf\u03bc\u03ae \u03c4\u03b7\u03c2 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf audit trail \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03be\u03af\u03c3\u03bf\u03c5 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7.<\/p>\n<h2 id=\"tria-epipeda-apofasis\">\u03a4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 HIRA<\/h2>\n<p>\u03a4\u03bf HIRA \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03c9\u03c2 cascade. \u039a\u03ac\u03b8\u03b5 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf \u03c6\u03b8\u03b7\u03bd\u03cc\u03c4\u03b5\u03c1\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c7\u03c9\u03c1\u03ac \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03b4\u03b5\u03bd \u03b9\u03ba\u03b1\u03bd\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03c7\u03ae\u03c2. \u0388\u03c4\u03c3\u03b9 \u03c4\u03bf compute \u03ba\u03b1\u03b9 \u03bf \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c2 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03b1\u03be\u03af\u03b1.<\/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\">Tier 1 \u2014 Retrieval<\/p>\n<p>BM25, MiniLM \u03ba\u03b1\u03b9 SigLIP2 \u03c8\u03b7\u03c6\u03af\u03b6\u03bf\u03c5\u03bd \u03bc\u03ad\u03c3\u03c9 weighted reciprocal-rank fusion. \u0391\u03bd \u03b7 \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03b1 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf \u03cc\u03c1\u03b9\u03bf, \u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 LLM.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u03a7\u03b1\u03bc\u03b7\u03bb\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2<\/span><span class=\"td-badge\">\u0393\u03c1\u03ae\u03b3\u03bf\u03c1\u03b7 \u03ad\u03be\u03bf\u03b4\u03bf\u03c2<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Tier 2 \u2014 LLM verifier<\/p>\n<p>\u03a4\u03bf \u03c4\u03bf\u03c0\u03b9\u03ba\u03cc LLM \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 OCR, \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1, \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 labels \u03ba\u03b1\u03b9 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03b3\u03bd\u03c9\u03c3\u03c4\u03ac confusion pairs. \u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03b5\u03af \u03cc\u03bb\u03bf \u03c4\u03bf stream \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Contrastive \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2<\/span><span class=\"td-badge\">On-premises<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Tier 3 \u2014 Human review<\/p>\n<p>\u038c\u03c4\u03b1\u03bd \u03b7 \u03b5\u03c0\u03b1\u03bb\u03ae\u03b8\u03b5\u03c5\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03bf\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03c7\u03ae\u03c2, \u03b7 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03bc\u03c0\u03b1\u03af\u03bd\u03b5\u03b9 \u03c3\u03b5 \u03bf\u03c5\u03c1\u03ac. \u0397 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 exemplar \u03ba\u03b1\u03b9 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd confusion graph.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u03a3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf review<\/span><span class=\"td-badge\">\u039c\u03cc\u03bd\u03b9\u03bc\u03b7 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b4\u03c1\u03bf\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-decision-title\">\u039c\u03b7\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf confidence threshold \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2<\/p>\n<p>\u0392\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf Tier 1 \u03ba\u03b1\u03b9 \u03c4\u03bf Tier 2 \u03c3\u03b5 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 validation \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 head, medium \u03ba\u03b1\u03b9 tail \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03c4\u03bf escalation \u03bc\u03b5 \u03c4\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2. \u0388\u03bd\u03b1 \u03c4\u03b9\u03bc\u03bf\u03bb\u03cc\u03b3\u03b9\u03bf \u03c7\u03b1\u03bc\u03b7\u03bb\u03bf\u03cd \u03c1\u03af\u03c3\u03ba\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c3\u03c5\u03bc\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03c7\u03ae\u03c2.<\/p>\n<\/div>\n<h2 id=\"triplos-retrieval\">\u0393\u03b9\u03b1\u03c4\u03af \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03bc\u03bf\u03c1\u03c6\u03ad\u03c2 retrieval<\/h2>\n<p>\u039a\u03ac\u03b8\u03b5 retriever \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b1. \u03a4\u03bf BM25 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03b5\u03af\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c6\u03c1\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf OCR. \u03a4\u03bf all-MiniLM-L6-v2 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03ad\u03c2 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd. \u03a4\u03bf SigLIP2 \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7\u03bd \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03bc\u03bf\u03c1\u03c6\u03ae, \u03c4\u03b7 \u03b4\u03b9\u03ac\u03c4\u03b1\u03be\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf template \u03c4\u03bf\u03c5 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5. \u039f\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03bb\u03af\u03c3\u03c4\u03b5\u03c2 \u03b5\u03bd\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 weighted reciprocal-rank fusion, \u03bc\u03b5 \u03b2\u03ac\u03c1\u03b7 \u03c0\u03bf\u03c5 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf validation split \u03c4\u03b7\u03c2 \u03b5\u03b3\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2.<\/p>\n<p>\u0397 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 modality \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf. \u03a3\u03c4\u03bf corrected Tobacco-3482, \u03c4\u03bf SigLIP2 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 Macro-F1 0,7718 \u03ba\u03b1\u03b9 \u03c4\u03bf RRF 0,7736, \u03b5\u03bd\u03ce \u03c4\u03b1 text-only retrievers \u03ae\u03c4\u03b1\u03bd \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1. \u03a3\u03c4\u03bf \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf Financial-80, \u03cc\u03bc\u03c9\u03c2, \u03c4\u03bf RRF \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 0,502 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,391 \u03c4\u03bf\u03c5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5 single retriever. \u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c0\u03ac\u03bd\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1\u00bb, \u03b1\u03bb\u03bb\u03ac \u00ab\u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03be\u03af\u03b1 \u03c3\u03c4\u03b7 \u03b4\u03b9\u03ba\u03ae \u03c3\u03b1\u03c2 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03af\u03b1\u00bb.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc\u03c2 \u03bf \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7\u03c2 \u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/hybrid-ai-search-papers-with-code\/\">hybrid AI search \u03bc\u03b5 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2, embeddings \u03ba\u03b1\u03b9 fallbacks<\/a>: \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03c3\u03bc\u03cc, \u03b1\u03bb\u03bb\u03ac \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c4\u03cd\u03c0\u03bf\u03c5\u03c2 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<h2 id=\"topiko-llm-verifier\">\u039f \u03c1\u03cc\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c4\u03bf\u03c0\u03b9\u03ba\u03bf\u03cd LLM verifier<\/h2>\n<p>\u03a4\u03bf LLM \u03b4\u03b5\u03bd \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc\u03c2 zero-shot classifier. \u0395\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf Tier 1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03b2\u03ad\u03b2\u03b1\u03b9\u03bf \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af contrastive verification \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b9\u03c2 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd DeepSeek-R1-Distill-Qwen-32B, Qwen-VL2.5 \u03ba\u03b1\u03b9 Llama-3.1-8B. \u03a3\u03c4\u03b7 seed-only \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf DeepSeek \u03b5\u03af\u03c7\u03b5 \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf Macro-F1, 0,8819, \u03ba\u03b1\u03b9 \u03ae\u03c4\u03b1\u03bd \u03c4\u03b1\u03c7\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03bd\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf A100, \u03bf\u03c0\u03cc\u03c4\u03b5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b1 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1.<\/p>\n<p>\u0397 \u03b5\u03b3\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae, \u03bc\u03b5 vLLM \u03c3\u03b5 \u03bc\u03af\u03b1 A100 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03bc\u03ad\u03c3\u03c9 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03bf\u03cd \u03b4\u03b9\u03ba\u03c4\u03cd\u03bf\u03c5. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 document, retrieval snippet \u03ae prompt \u03b4\u03b5\u03bd \u03ad\u03c6\u03c5\u03b3\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf deployment environment. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b2\u03b9\u03ce\u03c3\u03b9\u03bc\u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b3\u03b9\u03b1 data residency, \u03cc\u03c7\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2. \u039f \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 access control, logging, patching, model provenance \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae retention. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 <a href=\"https:\/\/twodots.gr\/spyre-linuxone-secure-enterprise-rag\/\">\u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03ae \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae \u03b3\u03b9\u03b1 enterprise RAG<\/a>.<\/p>\n<h2 id=\"edrm-mnimi-diorthoseon\">EDRM: \u03cc\u03c4\u03b1\u03bd \u03ba\u03ac\u03b8\u03b5 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03bc\u03bd\u03ae\u03bc\u03b7<\/h2>\n<p>\u0397 Evolving Document Relevance Memory, \u03ae EDRM, \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf human review \u03c3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03cc asset \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b2\u03b1\u03c1\u03ce\u03bd. \u039a\u03ac\u03b8\u03b5 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03bc\u03c0\u03b1\u03af\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf retrieval index \u03c9\u03c2 \u03bd\u03ad\u03bf exemplar. \u03a4\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c7\u03b5\u03c4\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf margin \u03c4\u03b7\u03c2 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7\u03c2 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03bc\u03b9\u03b1 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b7 \u03bf\u03c1\u03b9\u03b1\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03be\u03b5\u03ba\u03ac\u03b8\u03b1\u03c1\u03b7 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b1.<\/p>\n<p>\u03a0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b1 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 Dirichlet-smoothed confusion graph. \u039f \u03b3\u03c1\u03ac\u03c6\u03bf\u03c2 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd \u03bc\u03c0\u03b5\u03c1\u03b4\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03b5\u03af \u03c4\u03bf\u03bd verifier \u03bc\u03b5 distinguishing terms \u03cc\u03c4\u03b1\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03c3\u03c4\u03b5\u03af \u03be\u03b1\u03bd\u03ac \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03bf \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2. \u03a3\u03c4\u03bf Tier-1 ablation \u03c4\u03bf\u03c5 Tobacco-3482, \u03b7 \u03b1\u03c0\u03bb\u03ae \u03b5\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03c9\u03bd \u03bc\u03b5 \u03b2\u03ac\u03c1\u03bf\u03c2 1,0 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 Macro-F1 0,8857, \u03b5\u03bd\u03ce \u03b7 margin-weighted EDRM \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae 0,9135 \u2014 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 2,78 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03c9\u03bd \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd, \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03c4\u03b9\u03c2 \u03bc\u03b5\u03c3\u03b1\u03af\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7. \u03a0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03c0\u03bf\u03b9\u03bf\u03c2 \u03ad\u03ba\u03b1\u03bd\u03b5 \u03c4\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7, \u03bc\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 taxonomy, \u03c0\u03bf\u03b9\u03b1 exemplars \u03ad\u03c7\u03bf\u03c5\u03bd \u03bb\u03ae\u03be\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03b1\u03bd\u03b1\u03ba\u03b1\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c4\u03b9\u03ba\u03ad\u03c4\u03b1. \u038c\u03c0\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/data-silos-audit-trail-smart-manufacturing\/\">audit trail \u03c0\u03bf\u03c5 \u03b5\u03bd\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1<\/a>, \u03b7 \u03b1\u03be\u03af\u03b1 \u03b4\u03b5\u03bd \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03b8\u03ae\u03ba\u03b5\u03c5\u03c3\u03b7 \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7, \u03c4\u03b7\u03bd \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5.<\/p>\n<h2 id=\"tobacco-3482-apotelesmata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c4\u03bf corrected Tobacco-3482<\/h2>\n<p>\u03a4\u03bf \u03b4\u03b9\u03bf\u03c1\u03b8\u03c9\u03bc\u03ad\u03bd\u03bf benchmark \u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03bc\u03b2\u03b1\u03bd\u03b5 2.737 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c3\u03b5 \u03b4\u03ad\u03ba\u03b1 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2, \u03b1\u03c6\u03bf\u03cd \u03b1\u03c6\u03b1\u03b9\u03c1\u03ad\u03b8\u03b7\u03ba\u03b1\u03bd multi-label \u03ae \u03ba\u03b5\u03bd\u03ad\u03c2 \u03b5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc corpus. \u0393\u03b9\u03b1 \u03c4\u03b7\u03bd \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7 HITL, 100 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u2014\u03b4\u03ad\u03ba\u03b1 \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1\u2014 \u03b1\u03c1\u03c7\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03c4\u03bf index, 2.086 \u03bc\u03c0\u03ae\u03ba\u03b1\u03bd \u03c9\u03c2 pool \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae\u03c2 \u03c3\u03b5\u03b9\u03c1\u03ac\u03c2 \u03ba\u03b1\u03b9 279 \u03ba\u03c1\u03b1\u03c4\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03b3\u03b9\u03b1 test.<\/p>\n<p>\u039c\u03b5 518 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae 24,8% \u03c4\u03bf\u03c5 pool, \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 HIRA \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 Macro-F1 0,9423. \u0397 \u03af\u03b4\u03b9\u03b1 Macro-F1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b7\u03ba\u03b5 \u03b3\u03b9\u03b1 \u03c4\u03bf fully labelled pool oracle, \u03cc\u03c0\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03b1 2.086 pool documents \u03b5\u03af\u03c7\u03b1\u03bd \u03b5\u03b9\u03c3\u03b1\u03c7\u03b8\u03b5\u03af \u03bc\u03b5 ground-truth labels. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03b4\u03cd\u03bf \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 \u03ae\u03c4\u03b1\u03bd \u03af\u03b4\u03b9\u03b5\u03c2 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 metric: \u03c4\u03bf oracle \u03b5\u03af\u03c7\u03b5 accuracy 0,9462 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,9355 \u03c4\u03bf\u03c5 HIRA, \u03b5\u03bd\u03ce \u03c3\u03b5 \u03af\u03c3\u03bf annotation budget \u03c4\u03bf DiT-618 \u03b5\u03af\u03c7\u03b5 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf tail-F1, 0,978 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 0,970.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">HIRA \u03c3\u03b5 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2<\/p>\n<p class=\"td-chart-title\">\u039b\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf review \u03ba\u03b1\u03b9 dataset-specific \u03ba\u03ad\u03c1\u03b4\u03b7<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2 \u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2 \u03b3\u03b9\u03b1 \u03bd\u03ad\u03bf deployment \u03c7\u03c9\u03c1\u03af\u03c2 \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 validation.<\/p>\n<\/div>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">\u224860%<\/span><span class=\"td-metric-label\">\u039b\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 LLM \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf corrected Tobacco-3482 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 verifier \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,9423<\/span><span class=\"td-metric-label\">Macro-F1 \u03c3\u03c4\u03bf Tobacco-3482 \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc 518 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">6,4%<\/span><span class=\"td-metric-label\">\u03a4\u03bf\u03c5 Financial-80 stream \u03bf\u03b4\u03b7\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">+23,3<\/span><span class=\"td-metric-label\">\u03a0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 Macro-F1 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 DeepSeek zero-shot baseline \u03c3\u03c4\u03bf Financial-80<\/span><\/div>\n<\/div>\n<p class=\"td-chart-source\">\u03a0\u03b7\u03b3\u03ae: HIRA, arXiv 2608.21792, Sections 6\u20137 \u03ba\u03b1\u03b9 Tables 2, 4 \u03ba\u03b1\u03b9 7.<\/p>\n<\/div>\n<h2 id=\"financial-80-production\">\u0397 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c3\u03c4\u03bf production corpus Financial-80<\/h2>\n<p>\u03a4\u03bf Financial-80 \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 32.911 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03c3\u03b5 80 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03b5\u03c5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2. \u03a4\u03bf index \u03be\u03b5\u03ba\u03af\u03bd\u03b7\u03c3\u03b5 \u03bc\u03b5 648 seed documents, 316 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03b3\u03b9\u03b1 validation, 1.714 \u03b3\u03b9\u03b1 test \u03ba\u03b1\u03b9 30.233 \u03c9\u03c2 \u03b5\u03b9\u03c3\u03b5\u03c1\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf pool. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf corpus \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc, \u03b4\u03b5\u03bd \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03bd\u03cc\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd \u03ae per-class \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2. \u0391\u03c5\u03c4\u03cc \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae, \u03c0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03bf\u03b9 aggregate \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9.<\/p>\n<p>\u039c\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03cc\u03bb\u03bf\u03c5 \u03c4\u03bf\u03c5 stream, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b6\u03ae\u03c4\u03b7\u03c3\u03b5 1.945 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae 6,4%. \u03a4\u03bf Macro-F1 \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 0,6218 \u03c4\u03bf\u03c5 DeepSeek zero-shot baseline \u03c3\u03b5 \u03bc\u03ad\u03c3\u03bf 0,8548 \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc checkpoint. \u03a3\u03b5 \u03c4\u03c1\u03af\u03b1 runs \u03bf\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03ae\u03c4\u03b1\u03bd 0,8523, 0,8535 \u03ba\u03b1\u03b9 0,8586. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03ad\u03be\u03b9 \u03b5\u03c1\u03b3\u03ac\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b7\u03bc\u03ad\u03c1\u03b5\u03c2 \u03b5\u03bd\u03cc\u03c2 reviewer, \u03b5\u03bd\u03ce \u03b7 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae queue rate \u03ad\u03c0\u03b5\u03c3\u03b5 \u03b1\u03c0\u03cc \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 18,8% \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae \u03c3\u03b5 6,2%.<\/p>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ae\u03c4\u03b1\u03bd \u03b7 \u03c7\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 review, \u03cc\u03c7\u03b9 \u03b7 GPU. \u03a9\u03c3\u03c4\u03cc\u03c3\u03bf, \u03c4\u03bf \u00ab\u03ad\u03be\u03b9 \u03b7\u03bc\u03ad\u03c1\u03b5\u03c2\u00bb \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf ROI \u03b3\u03b9\u03b1 \u03ac\u03bb\u03bb\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7. \u039f \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd, \u03b5\u03be\u03b5\u03b9\u03b4\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 reviewer, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 OCR, interface, taxonomy \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03c4\u03c9\u03bd labels.<\/p>\n<h2 id=\"thresholds-kai-calibration\">Thresholds, confidence \u03ba\u03b1\u03b9 calibration<\/h2>\n<p>\u0397 deployed V3 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 Tier-1 threshold 0,675, Tier-2 threshold 0,95 \u03ba\u03b1\u03b9 index-decay parameter 10<sup>4<\/sup>. \u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf threshold \u03b5\u03c0\u03b9\u03bb\u03ad\u03c7\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc sweep \u03c3\u03c4\u03bf validation split. \u03a3\u03b5 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 Tier-1 thresholds \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03ad\u03bd\u03b1 false cliff: \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03bf\u03b4\u03b7\u03b3\u03bf\u03cd\u03bd\u03c4\u03b1\u03bd \u03c3\u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03cc\u03c4\u03b5\u03c1\u03bf Tier 2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u03a3\u03c4\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf index, \u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc\u03c2 \u03bc\u03bf\u03c7\u03bb\u03cc\u03c2 \u03c4\u03bf\u03c5 human-review volume \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf Tier-2 accept threshold.<\/p>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ba\u03b1\u03c4\u03ad\u03b3\u03c1\u03b1\u03c8\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03bc\u03b5 numeric confidence \u03b1\u03c0\u03cc \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 open-weight LLMs: \u03bf\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03bd \u03c3\u03c4\u03bf \u03b5\u03bc\u03c6\u03b1\u03bd\u03ad\u03c2 gate 0,950. \u0397 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c4\u03b9\u03bc\u03ae\u03c2 \u03bc\u03b5 ordinal enum \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b5\u03c0\u03b9\u03c0\u03ad\u03b4\u03c9\u03bd \u03ad\u03b4\u03c9\u03c3\u03b5 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b4\u03b9\u03b1\u03c3\u03c0\u03bf\u03c1\u03ac. \u0395\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03b5\u03bd\u03b8\u03cd\u03bc\u03b9\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf self-reported confidence \u03b5\u03bd\u03cc\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 probability calibration.<\/p>\n<p>\u03a4\u03bf index decay \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03c3\u03c9\u03c3\u03c4\u03ae \u03c4\u03b9\u03bc\u03ae. \u03a3\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03cc benchmark \u03b2\u03bf\u03b7\u03b8\u03ac \u03bd\u03b1 \u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c4\u03b1 exemplars \u03b3\u03b9\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1. \u03a3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03bc\u03b5 drift \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c3\u03cd\u03c1\u03b5\u03b9 \u03c0\u03b1\u03bb\u03b9\u03ac templates \u03ae \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2. \u0397 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b3\u03b9\u03b1 escalation \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03bd\u03b5\u03cd\u03bc\u03b1 \u03bc\u03b5 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ask-or-answer-ai-rotisei-prin-diorthosei-parapliroforisi\/\">\u03c0\u03cc\u03c4\u03b5 \u03ad\u03bd\u03b1 AI \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ac \u03b4\u03b9\u03b5\u03c5\u03ba\u03c1\u03af\u03bd\u03b9\u03c3\u03b7 \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac<\/a>: \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf utility \u03ba\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03b7 \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<h2 id=\"ti-simainei-gia-epicheirisi\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7<\/h2>\n<p>\u0397 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b9\u03b4\u03ad\u03b1 \u03c4\u03bf\u03c5 HIRA \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7 \u03ba\u03b1\u03c4\u03ac \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1. \u039f\u03b9 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf latency \u03ba\u03b1\u03b9 \u03c4\u03bf compute \u03b5\u03bd\u03cc\u03c2 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf\u03c5 verifier. \u039f\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc accuracy. \u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b4\u03c1\u03bf\u03bc\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1, \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03c3\u03b9\u03bc\u03b1 precedents.<\/p>\n<p>\u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ac \u03c0\u03c1\u03bf\u03bc\u03b7\u03b8\u03b5\u03c5\u03c4\u03ce\u03bd, claims, \u03b1\u03b9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2, \u03c3\u03c5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ae support attachments. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ad\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae, \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 deployments \u03c0\u03bf\u03c5 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03c3\u03c4\u03b7\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1. \u039a\u03ac\u03b8\u03b5 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 validation set, confusion analysis, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 queue capacity \u03ba\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 head \u03ba\u03b1\u03b9 tail \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03c9\u03bd.<\/p>\n<p>\u0397 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03b1\u03c7\u03b8\u03b5\u03af \u03c3\u03b5 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf operating model: \u03b9\u03b4\u03b9\u03bf\u03ba\u03c4\u03b7\u03c3\u03af\u03b1 taxonomy, \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2 thresholds, \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae override, \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 drift \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 incident review. \u0391\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b3\u03ad\u03c6\u03c5\u03c1\u03b1 \u03c0\u03c1\u03bf\u03c2 <a href=\"https:\/\/twodots.gr\/enterprise-ai-harnesses-diakyvernisi-architektoniki\/\">enterprise AI governance \u03c9\u03c2 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2<\/a>, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<aside class=\"td-article-note\"><strong>\u03a7\u03c9\u03c1\u03af\u03c2 retraining \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 governance:<\/strong> \u03c4\u03bf retrieval index, \u03bf confusion graph, \u03bf\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2, \u03c4\u03b1 thresholds \u03ba\u03b1\u03b9 \u03b7 taxonomy \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ac assets. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 versioning, access control, monitoring, retention \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 rollback.<\/aside>\n<h2 id=\"epta-vimata-pilot\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 pilot<\/h2>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">Pilot HIRA \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b1\u03be\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03c1\u03af\u03c3\u03ba\u03bf<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf workflow<\/strong>\n<p>\u0395\u03c0\u03b9\u03bb\u03ad\u03be\u03c4\u03b5 \u03bc\u03af\u03b1 \u03c3\u03b1\u03c6\u03ae \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 downstream \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03bc\u03b5\u03af\u03be\u03b5\u03c4\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae \u03cc\u03bb\u03bf \u03c4\u03bf \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc \u03b1\u03c1\u03c7\u03b5\u03af\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u039a\u03b1\u03b8\u03b1\u03c1\u03af\u03c3\u03c4\u03b5 taxonomy \u03ba\u03b1\u03b9 labels<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03bc\u03bf\u03b9\u03b2\u03b1\u03af\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03b7\u03c4\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2, \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03bc\u03cc multi-label \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b1 \u03ae \u03bc\u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03ae\u03c3\u03b9\u03bc\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u03a7\u03c4\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc validation set<\/strong>\n<p>\u03a3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 head, medium \u03ba\u03b1\u03b9 tail \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2, \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b1 confusion pairs, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac templates \u03ba\u03b1\u03b9 \u03c1\u03b5\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac OCR \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 retrieval \u03c3\u03ae\u03bc\u03b1 \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac<\/strong>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 BM25, dense text \u03ba\u03b1\u03b9 image embeddings \u03c0\u03c1\u03b9\u03bd \u03bf\u03c1\u03af\u03c3\u03b5\u03c4\u03b5 \u03c4\u03b1 RRF \u03b2\u03ac\u03c1\u03b7. \u0391\u03c6\u03b1\u03b9\u03c1\u03ad\u03c3\u03c4\u03b5 modality \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03be\u03af\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u0392\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03b4\u03cd\u03bf gates<\/strong>\n<p>\u0395\u03c0\u03b9\u03bb\u03ad\u03be\u03c4\u03b5 Tier-1 \u03ba\u03b1\u03b9 Tier-2 thresholds \u03bc\u03b5 \u03ba\u03b1\u03bc\u03c0\u03cd\u03bb\u03b5\u03c2 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2, verifier calls \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5 queue, \u03cc\u03c7\u03b9 \u03bc\u03b5 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03c4\u03c9\u03bd 0,675 \u03ba\u03b1\u03b9 0,95 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 shadow mode \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2<\/strong>\n<p>\u039c\u03b7\u03bd \u03b1\u03c6\u03ae\u03c3\u03b5\u03c4\u03b5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bd\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03af \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1. \u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 disagreement, \u03c7\u03c1\u03cc\u03bd\u03bf review, consistency \u03bc\u03b5\u03c4\u03b1\u03be\u03cd reviewers \u03ba\u03b1\u03b9 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 exemplar \u03c0\u03c1\u03b9\u03bd \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 production SLO \u03ba\u03b1\u03b9 rollback<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03cc\u03c1\u03b9\u03b1 \u03b3\u03b9\u03b1 queue rate, Macro-F1, tail-F1, latency \u03ba\u03b1\u03b9 drift, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03c0\u03b1\u03b3\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf index \u03ae \u03b5\u03c0\u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 taxonomy \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03c5\u03c0\u03bf\u03c7\u03c9\u03c1\u03bf\u03cd\u03bd.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"oria-kai-symperasma\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1<\/h2>\n<p>\u0397 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc dataset, \u03bf\u03c0\u03cc\u03c4\u03b5 \u03c4\u03c1\u03af\u03c4\u03bf\u03b9 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2 \u03c4\u03c9\u03bd 80 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03ce\u03bd. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03b5\u03c0\u03b9\u03b2\u03bb\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf LayoutLMv3 \u03c3\u03c4\u03bf Financial-80, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf labelled training set \u03b4\u03b5\u03bd \u03c5\u03c0\u03ae\u03c1\u03c7\u03b5 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c4\u03bf\u03c5 deployment. \u0391\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b7 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03b1\u03bd\u03bf\u03b9\u03c7\u03c4\u03ae \u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c4\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03c0\u03bf\u03bb\u03bb\u03ac \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ac labels.<\/p>\n<p>\u03a4\u03b1 \u03ba\u03cd\u03c1\u03b9\u03b1 trajectories \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd fixed seed, \u03bc\u03b5 \u03c4\u03c1\u03b9\u03c0\u03bb\u03cc run \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc Financial-80 checkpoint \u03bb\u03cc\u03b3\u03c9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03cd \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2. \u0397 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc OCR, embeddings, threshold calibration, hardware, taxonomy drift \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03c9\u03bd \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03c9\u03bd. \u03a4\u03bf HIRA \u03b4\u03b5\u03bd \u03ba\u03b1\u03c4\u03b1\u03c1\u03b3\u03b5\u03af \u03b1\u03c5\u03c4\u03ad\u03c2 \u03c4\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ad\u03c2\u00b7 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc \u03c4\u03c1\u03cc\u03c0\u03bf \u03bd\u03b1 \u03c4\u03b9\u03c2 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03bf\u03c1\u03b1\u03c4\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03cc \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03b5\u03ba\u03b5\u03af \u03cc\u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc takeaway \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03c4\u03b1 thresholds \u03ae \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03b5\u03b9 \u03b1\u03bd \u03bc\u03b9\u03b1 \u03c0\u03bf\u03bb\u03c5\u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b7 \u03c1\u03bf\u03ae retrieval \u2192 verifier \u2192 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03c4\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c4\u03c4\u03ad\u03c2 LLM \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03c8\u03b5\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1. \u03a4\u03bf pilot \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf validation, \u03c4\u03bf review capacity \u03ba\u03b1\u03b9 \u03c4\u03bf audit trail \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd \u03bc\u03b1\u03b6\u03af.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf \u03c3\u03c4\u03b7\u03bd \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 document automation \u03c0\u03bf\u03c5 \u03ba\u03bb\u03b9\u03bc\u03b1\u03ba\u03ce\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af OCR, retrieval, \u03c4\u03bf\u03c0\u03b9\u03ba\u03cc LLM verification \u03ba\u03b1\u03b9 human review \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03b9\u03ba\u03ad\u03c2 \u03c3\u03b1\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd, \u03bc\u03b5 validation set, thresholds, audit trail \u03ba\u03b1\u03b9 rollback \u03c0\u03c1\u03b9\u03bd \u03b7 \u03c1\u03bf\u03ae \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03b5\u03af \u03bc\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 document AI pilot<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf HIRA;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 training-free, retrieval-augmented cascade \u03b3\u03b9\u03b1 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd. \u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 retrievers, \u03c4\u03bf\u03c0\u03b9\u03ba\u03cc LLM verifier \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc human review, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 cloud LLM;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7. \u039f verifier \u03c6\u03b9\u03bb\u03bf\u03be\u03b5\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03bc\u03b5 vLLM \u03c3\u03b5 \u03bc\u03af\u03b1 A100 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, snippets \u03ba\u03b1\u03b9 prompts \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b1\u03bd \u03c3\u03c4\u03bf deployment environment.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 retrieval \u03c3\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9;<\/summary>\n<div class=\"td-faq-content\">\n<p>BM25 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 OCR \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, all-MiniLM-L6-v2 \u03b3\u03b9\u03b1 dense text embeddings \u03ba\u03b1\u03b9 SigLIP2 \u03b3\u03b9\u03b1 image embeddings, \u03bc\u03b5 validation-calibrated weighted reciprocal-rank fusion.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03ce\u03c2 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 fine-tuning;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039a\u03ac\u03b8\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 margin-weighted exemplar \u03ba\u03b1\u03b9 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd Dirichlet-smoothed confusion graph \u03c0\u03bf\u03c5 \u03b2\u03bf\u03b7\u03b8\u03ac \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c3\u03bf human review \u03c7\u03c1\u03b5\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf Financial-80;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf HIRA \u03b6\u03ae\u03c4\u03b7\u03c3\u03b5 1.945 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc stream 30.233 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae 6,4%, \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b7\u03bc\u03ad\u03bd\u03bf checkpoint \u03c4\u03bf\u03c5 \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03bf\u03cd corpus.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c3\u03bf \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03bf\u03b9 LLM \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf corrected Tobacco-3482 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 40% \u03c4\u03c9\u03bd \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd \u03ad\u03c6\u03c4\u03b1\u03bd\u03b5 \u03c3\u03c4\u03bf\u03bd verifier, \u03ac\u03c1\u03b1 \u03bf\u03b9 \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ae\u03c4\u03b1\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 60% \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 zero-shot \u03c1\u03bf\u03ae \u03c0\u03bf\u03c5 \u03ba\u03b1\u03bb\u03b5\u03af LLM \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03c4\u03b1 thresholds \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03bc\u03b5 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1. \u03a4\u03b1 Tier-1 \u03ba\u03b1\u03b9 Tier-2 thresholds \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03b8\u03bf\u03cd\u03bd \u03c3\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc validation set \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03bf\u03cd\u03bd \u03bc\u03b5 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03c7\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 review.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03be\u03b1\u03bb\u03b5\u03af\u03c6\u03b5\u03b9 \u03c4\u03bf HIRA \u03c4\u03bf AI governance;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0391\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03c3\u03c5\u03c7\u03bd\u03ad\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b2\u03b1\u03c1\u03ce\u03bd, \u03b1\u03bb\u03bb\u03ac taxonomy, retrieval memory, confusion graph, thresholds, corrections \u03ba\u03b1\u03b9 audit trail \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ac assets \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.21792\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2412.13140\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Label Errors in the Tobacco3482 Dataset<\/a><\/li>\n<li><a href=\"https:\/\/docs.vllm.ai\/en\/v0.27.0\/examples\/basic\/offline_inference\/\" target=\"_blank\" rel=\"noopener\">vLLM \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 offline inference<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2502.14786\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 SigLIP 2: Multilingual Vision-Language Encoders<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/5-sec-core\/\" target=\"_blank\" rel=\"noopener\">NIST AI RMF Core \u2014 governance, human oversight \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae\u03c2 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf HIRA \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 multimodal retrieval, \u03c4\u03bf\u03c0\u03b9\u03ba\u03cc LLM verifier \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf human review \u03b3\u03b9\u03b1 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b5\u03b3\u03b3\u03c1\u03ac\u03c6\u03c9\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7.<\/p>","protected":false},"author":1,"featured_media":104473,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[9260,18329,9258,20680,8233],"class_list":["post-97868","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-governance","tag-document-ai","tag-human-in-the-loop","tag-on-premises-ai","tag-rag"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97868","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=97868"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/97868\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/104473"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=97868"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=97868"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=97868"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}