{"id":104941,"date":"2026-10-25T22:54:35","date_gmt":"2026-10-25T20:54:35","guid":{"rendered":"https:\/\/twodots.gr\/?p=104941"},"modified":"2026-10-25T22:54:35","modified_gmt":"2026-10-25T20:54:35","slug":"affectomni-ai-synaisthima-elegximi-optiki-apodeixi","status":"publish","type":"post","link":"https:\/\/twodots.gr\/de\/affectomni-ai-synaisthima-elegximi-optiki-apodeixi\/","title":{"rendered":"AffectOmni: \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf AI \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03bc\u03b1\u03bd\u03c4\u03ad\u03c8\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03bf \u03c3\u03c5\u03bd\u03b1\u03af\u03c3\u03b8\u03b7\u03bc\u03b1"},"content":{"rendered":"<p class=\"td-article-lede\">\u03a4\u03bf AffectOmni \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03bc\u03b9\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b3\u03b9\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf business AI: \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf, \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03be\u03ad\u03bb\u03b9\u03be\u03b7. \u0397 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b1\u03bb\u03ae\u03b8\u03b5\u03c5\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c3\u03ae\u03bc\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u00ab\u03ba\u03b1\u03c4\u03ac\u03bb\u03b1\u03b2\u03b5\u00bb \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03bd \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf.<\/p>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1<\/div>\n<ul>\n<li><a href=\"#sosti-apantisi-lathos-logos\">\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c8\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bb\u03cc\u03b3\u03bf<\/a><\/li>\n<li><a href=\"#people-focus-temporal-order\">People-Focus \u03ba\u03b1\u03b9 Temporal-Order: \u03c4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd<\/a><\/li>\n<li><a href=\"#comparative-scoring\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03ae\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#minimal-evidence-package\">\u0391\u03c0\u03cc \u03c4\u03bf reasoning \u03c3\u03c4\u03bf Minimal Evidence Package<\/a><\/li>\n<li><a href=\"#benchmarks\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ac benchmarks<\/a><\/li>\n<li><a href=\"#general-video-qa\">\u0397 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc video QA \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03bf\u03bc\u03bf\u03b9\u03cc\u03bc\u03bf\u03c1\u03c6\u03b7<\/a><\/li>\n<li><a href=\"#audit-interface\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf audit interface<\/a><\/li>\n<li><a href=\"#oria-kindynoi\">False negatives, \u03c3\u03b1\u03c1\u03ba\u03b1\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03b1 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#business-use-cases\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 marketing, CX \u03ba\u03b1\u03b9 video analytics<\/a><\/li>\n<li><a href=\"#production-checklist\">\u0388\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf \u03c0\u03bb\u03ac\u03bd\u03bf \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7<\/a><\/li>\n<\/ul>\n<\/div>\n<div class=\"td-note\">\n<p class=\"td-note-title\">\u0397 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/p>\n<p>\u03a4\u03bf AffectOmni \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9 \u03ad\u03bd\u03b1 multimodal \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03b4\u03af\u03bd\u03b5\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b1\u03c1\u03cd\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03b5 \u03bf\u03b4\u03b7\u03b3\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac. \u0397 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 benchmarks, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf post-hoc grounding \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03b9\u03c4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bf\u03cd\u03c4\u03b5 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b5\u03c2 \u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03b1\u03bd\u03c4\u03af\u03ba\u03c4\u03c5\u03c0\u03bf\u03c5 \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<p>\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03ad\u03bd\u03b1 AI \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03bd\u03b1\u03af\u03c3\u03b8\u03b7\u03bc\u03b1 \u03ae \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf; \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf <em>AffectOmni: RL-Verifiable People-Centric Grounded Affective Reasoning for Social and Art-Related Scenes<\/em>. \u0388\u03bd\u03b1 multimodal \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03ba\u03bc\u03b5\u03c4\u03b1\u03bb\u03bb\u03b5\u03c5\u03c4\u03b5\u03af \u03c4\u03bf \u03c3\u03ba\u03b7\u03bd\u03b9\u03ba\u03cc, \u03c4\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b1\u03c4\u03bc\u03cc\u03c3\u03c6\u03b1\u03b9\u03c1\u03b1 \u03ae \u03bc\u03b9\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03b3\u03bd\u03bf\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf, \u03c4\u03b7 \u03c3\u03c4\u03ac\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03ce\u03bc\u03b1\u03c4\u03bf\u03c2, \u03c4\u03b7 \u03c7\u03b5\u03b9\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1 \u03ae \u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03c4\u03c9\u03bd \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c4\u03c9\u03bd.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03c9\u03bd Yibo Wang \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c4\u03ce\u03bd \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf reinforcement learning \u03bc\u03b5 \u03b4\u03cd\u03bf \u03b5\u03b9\u03b4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03c4\u03b1\u03bc\u03bf\u03b9\u03b2\u03ad\u03c2, People-Focus \u03ba\u03b1\u03b9 Temporal-Order, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03c9\u03bd \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd. \u039c\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c4\u03b7\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2, \u03ad\u03bd\u03b1 Thinking Summarizer \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03b5 \u03ad\u03bd\u03b1 Minimal Evidence Package \u03ba\u03b1\u03b9 \u03c4\u03bf SAM3 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03b9 \u03c4\u03b1 \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b1 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c3\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf pixels.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 marketing, customer experience, social listening \u03ba\u03b1\u03b9 AI governance, \u03c4\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf AI \u00ab\u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03b9\u00bb \u03c0\u03bb\u03ad\u03bf\u03bd \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1 \u03c4\u03b1 \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc evidence layer, \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae \u03cc\u03c1\u03b9\u03b1, \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03c1\u03b1\u03c4\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b7\u03c1\u03b5\u03b1\u03c3\u03c4\u03b5\u03af \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7\u03c2, \u03b5\u03c1\u03b3\u03b1\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/p>\n<h2 id=\"sosti-apantisi-lathos-logos\">\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c8\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bb\u03cc\u03b3\u03bf<\/h2>\n<p>\u03a4\u03b1 multimodal large language models \u03ad\u03c7\u03bf\u03c5\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03c9\u03b8\u03b5\u03af \u03c3\u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1\u03c2, \u03ae\u03c7\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7, \u03cc\u03bc\u03c9\u03c2, \u03c3\u03c5\u03c7\u03bd\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc label \u03ae \u03c3\u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ae\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2. \u0391\u03bd \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae, \u03c4\u03bf benchmark \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7 \u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b2\u03b1\u03c3\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03b5 shortcut: \u03ad\u03bd\u03b1 \u03c6\u03cc\u03bd\u03c4\u03bf, \u03ad\u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ae \u03bc\u03b9\u03b1 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b7 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7.<\/p>\n<p>\u03a3\u03c4\u03b9\u03c2 \u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c3\u03ba\u03b7\u03bd\u03ad\u03c2, \u03bf\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03b5\u03c0\u03c4\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2. \u03a0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03bc\u03b9\u03ba\u03c1\u03bf\u03b5\u03ba\u03c6\u03c1\u03ac\u03c3\u03b5\u03b9\u03c2, \u03b2\u03bb\u03ad\u03bc\u03bc\u03b1, \u03c3\u03c5\u03bd\u03bf\u03c6\u03c1\u03cd\u03c9\u03bc\u03b1, \u03b4\u03ac\u03ba\u03c1\u03c5\u03b1, \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c3\u03c4\u03ac\u03c3\u03b7\u03c2, \u03c7\u03b5\u03b9\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03b9\u03b4\u03c1\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2. \u0397 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03ad\u03ba\u03c0\u03bb\u03b7\u03be\u03b7 \u03c3\u03b5 \u03b1\u03bd\u03b1\u03ba\u03bf\u03cd\u03c6\u03b9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03c5\u03c0\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c4\u03c5\u03c7\u03b1\u03af\u03bf \u03ba\u03b1\u03c1\u03ad. \u0391\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03b1\u03c3\u03c4\u03b5\u03af \u03b7 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u00ab\u03c0\u03c1\u03b9\u03bd, \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1, \u03bc\u03b5\u03c4\u03ac\u00bb.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03ad\u03c7\u03b5\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1. \u0388\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03bb\u03cd\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b5\u03bd\u03c4\u03b5\u03cd\u03be\u03b5\u03b9\u03c2 \u03c7\u03c1\u03b7\u03c3\u03c4\u03ce\u03bd, video reviews \u03ae \u03ba\u03bb\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03b9\u03ba\u03b1\u03bd\u03bf\u03c0\u03bf\u03b9\u03b7\u03c4\u03b9\u03ba\u03ac \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03b8\u03c1\u03b1\u03c5\u03c3\u03c4\u03bf \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd, \u03bf \u03c6\u03c9\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2, \u03b7 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03ce\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ae \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03c3\u03bc\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b7. \u038c\u03c0\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ta-ai-montela-echoun-protimiseis-ti-apokalyptoun-oi-epiloges-tous\/\">\u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 AI \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c0\u03c1\u03bf\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c4\u03bf\u03c5\u03c2<\/a>, \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03ad\u03be\u03bf\u03b4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03c0\u03bf\u03c5 \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<article class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Answer-only \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7<\/p>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf label \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03cc, \u03b1\u03bb\u03bb\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b5 \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf background cue.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u03a4\u03b5\u03bb\u03b9\u03ba\u03ae \u03ad\u03be\u03bf\u03b4\u03bf\u03c2<\/span><span class=\"td-badge\">\u039a\u03c1\u03c5\u03c6\u03cc shortcut<\/span><\/div>\n<\/article>\n<article class=\"td-platform-card\">\n<p class=\"td-comparison-title\">People-centric reasoning<\/p>\n<p>\u0396\u03b7\u03c4\u03ac \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf, \u03ad\u03ba\u03c6\u03c1\u03b1\u03c3\u03b7, \u03c3\u03ce\u03bc\u03b1, \u03c0\u03c1\u03ac\u03be\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c0\u03bf\u03c5 \u03c3\u03c7\u03b5\u03c4\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u039f\u03c1\u03b1\u03c4\u03ad\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2<\/span><span class=\"td-badge\">\u03a7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac<\/span><\/div>\n<\/article>\n<article class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Post-hoc evidence audit<\/p>\n<p>\u039c\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c3\u03b5 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03b7 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf \u03ae \u03b7 \u03c0\u03c1\u03ac\u03be\u03b7 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u0395\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf<\/span><span class=\"td-badge\">\u038c\u03c7\u03b9 \u03b1\u03b9\u03c4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1<\/span><\/div>\n<\/article>\n<\/div>\n<\/div>\n<h2 id=\"people-focus-temporal-order\">People-Focus \u03ba\u03b1\u03b9 Temporal-Order: \u03c4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd<\/h2>\n<p>\u0397 \u03b2\u03ac\u03c3\u03b7 \u03c4\u03bf\u03c5 AffectOmni \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Qwen2.5-Omni-7B-Thinker. \u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af cold-start supervised fine-tuning \u03ba\u03b1\u03b9 \u03b4\u03cd\u03bf \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1 Group Relative Policy Optimization, \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03c9\u03c2 GRPO. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 corpus 24.000 video-audio samples, \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b5\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bd\u03ac instance, learning rate 1\u00d710<sup>\u22126<\/sup>, \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2 2.048 tokens \u03ba\u03b1\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 A100 80GB.<\/p>\n<p>\u03a4\u03bf People-Focus reward \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03b1\u03bd \u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2: \u03ad\u03ba\u03c6\u03c1\u03b1\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c3\u03ce\u03c0\u03bf\u03c5, \u03c3\u03c4\u03ac\u03c3\u03b7, \u03ba\u03af\u03bd\u03b7\u03c3\u03b7, \u03c7\u03b5\u03b9\u03c1\u03bf\u03bd\u03bf\u03bc\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7. \u0394\u03b5\u03bd \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c4\u03b7\u03bd \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7 \u03bb\u03ad\u03be\u03b5\u03c9\u03bd \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03bc\u03b5 \u03c4\u03bf \u03c3\u03c5\u03bd\u03b1\u03af\u03c3\u03b8\u03b7\u03bc\u03b1. \u03a3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03b1\u03b3\u03ba\u03c5\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1\u03c2 reviewer.<\/p>\n<p>\u03a4\u03bf Temporal-Order reward \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03c3\u03ad\u03b2\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03c4\u03c9\u03bd \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c4\u03c1\u03bf\u03c7\u03b9\u03ac. \u03a3\u03b5 \u03ad\u03bd\u03b1 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03bd\u03b1\u03ba\u03bf\u03cd\u03c6\u03b9\u03c3\u03b7, \u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7\u03c2. \u0391\u03bd \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03c1\u03b1\u03c6\u03b5\u03af, \u03b7 \u03af\u03b4\u03b9\u03b1 \u03bb\u03af\u03c3\u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03b4\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1.<\/p>\n<p>\u039f\u03b9 \u03b4\u03cd\u03bf \u03b1\u03bd\u03c4\u03b1\u03bc\u03bf\u03b9\u03b2\u03ad\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c4\u03bc\u03ae\u03bc\u03b1\u03c4\u03b1 context \u03ba\u03b1\u03b9 reasoning, \u03cc\u03c7\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u0388\u03c4\u03c3\u03b9 \u03c4\u03bf training signal \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c4\u03c1\u03cc\u03c0\u03bf \u03bf\u03c1\u03b3\u03ac\u03bd\u03c9\u03c3\u03b7\u03c2 \u03c4\u03c9\u03bd \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c1\u03c1\u03b5\u03cd\u03c3\u03b5\u03b9 \u03c9\u03c2 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf pattern \u03c3\u03c4\u03bf answer. \u03a4\u03bf design \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf: \u03c3\u03b5 \u03ac\u03bb\u03bb\u03bf domain \u03b8\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac evidence criteria, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b9 \u03b1\u03bd \u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc\u03c2 \u03c3\u03ba\u03b5\u03bb\u03b5\u03c4\u03cc\u03c2 \u03ad\u03bc\u03b5\u03bd\u03b5 \u03af\u03b4\u03b9\u03bf\u03c2.<\/p>\n<h2 id=\"comparative-scoring\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03ae\u03bc\u03b1<\/h2>\n<p>\u03a4\u03bf AffectOmni \u03b4\u03b5\u03bd \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03ba\u03ac\u03b8\u03b5 \u03c5\u03c0\u03bf\u03c8\u03ae\u03c6\u03b9\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b1. \u039f LLM judge \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c4\u03ac\u03c3\u03c3\u03b5\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ac. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 LLM-as-a-judge: \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03c5\u03c8\u03b7\u03bb\u03ad\u03c2 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf reinforcement learning \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9.<\/p>\n<p>\u03a3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc\u03c2 coefficient of variation \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 0,153 \u03bc\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c3\u03b5 0,325 \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae. \u039f within-group coefficient \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 0,049 \u03c3\u03b5 0,138. \u03a3\u03c4\u03b7\u03bd \u03ba\u03bf\u03b9\u03bd\u03ae \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 1\u201310, \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 73% \u03c4\u03c9\u03bd \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03c9\u03bd scores \u03b2\u03c1\u03b9\u03c3\u03ba\u03cc\u03c4\u03b1\u03bd \u03c3\u03c4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 9\u201310, \u03b5\u03bd\u03ce \u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03c3\u03c0\u03bf\u03c1\u03ac.<\/p>\n<p>\u03a4\u03bf downstream \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c4\u03bf IntentBench \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 69,78 \u03c3\u03b5 71,89. \u0397 \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ac \u03b1\u03bd\u03ce\u03c4\u03b5\u03c1\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 judge \u03ae dataset. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03cc\u03c4\u03b9, \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf setup, \u03b7 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5 \u03c0\u03b9\u03bf \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03cc reward signal \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7.<\/p>\n<h2 id=\"minimal-evidence-package\">\u0391\u03c0\u03cc \u03c4\u03bf reasoning \u03c3\u03c4\u03bf Minimal Evidence Package<\/h2>\n<p>\u039f\u03b9 \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b5\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03cd \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 800\u20131.400 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03ae\u03c1\u03b5\u03c2. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03bf\u03c5\u03bd \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b5\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae\u03c2 \u03c0\u03c5\u03ba\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03b1\u03c0\u03cc \u03ac\u03bb\u03bb\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u03a4\u03bf Thinking Summarizer \u03c4\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03b5 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf Minimal Evidence Package \u03bc\u03b5 key points, primary objects, emotional indicators \u03ba\u03b1\u03b9 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf SAM3.<\/p>\n<p>\u039f summarizer \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1: \u03ad\u03bd\u03b1 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf API model \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c3\u03c4\u03cc\u03c7\u03bf\u03c5\u03c2 \u03c5\u03c8\u03b7\u03bb\u03ae\u03c2 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf base model \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 LoRA. \u0388\u03c0\u03b5\u03b9\u03c4\u03b1, \u03b7 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03b4\u03b9\u03b1\u03c3\u03c0\u03ac\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf SAM3 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af pixel-level masks \u03c3\u03c4\u03b1 \u03ba\u03b1\u03c1\u03ad. \u0391\u03bd \u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u00ab\u03bf \u03ac\u03bd\u03b4\u03c1\u03b1\u03c2 \u03bc\u03b5 \u03c4\u03bf \u03ba\u03b1\u03c1\u03cc \u03c0\u03bf\u03c5\u03ba\u03ac\u03bc\u03b9\u03c3\u03bf \u03ba\u03b1\u03b9 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03b7 \u03ad\u03ba\u03c6\u03c1\u03b1\u03c3\u03b7\u00bb, \u03c4\u03bf audit \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf.<\/p>\n<p>\u0397 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c0\u03b1\u03bb\u03ae\u03b8\u03b5\u03c5\u03c3\u03b7 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03ad\u03be\u03c9 \u03b1\u03c0\u03cc \u03c4\u03bf training loop. \u0394\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 reward \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1. \u0395\u03af\u03bd\u03b1\u03b9 interface \u03b3\u03b9\u03b1 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c4\u03b7\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b7\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b7 \u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b9\u03bc\u03b7 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf. \u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae <a href=\"https:\/\/twodots.gr\/pos-na-aytomatopoiisete-ergasies-me-techniti-noimosyni\/\">AI automation workflows \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf<\/a>: \u03ad\u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03b2\u03ae\u03bc\u03b1 \u03b5\u03c0\u03b9\u03b8\u03b5\u03ce\u03c1\u03b7\u03c3\u03b7\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03ba\u03b8\u03ad\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03c4\u03b7\u03bd \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03ad\u03be\u03bf\u03b4\u03bf.<\/p>\n<div class=\"td-note\">\n<p class=\"td-note-title\">Grounding \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7<\/p>\n<p>\u039c\u03b9\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ae \u03bc\u03ac\u03c3\u03ba\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03c0\u03c1\u03ac\u03be\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03c4\u03b5\u03af. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b1\u03c5\u03c4\u03ae \u03b7 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03c0\u03c1\u03bf\u03ba\u03ac\u03bb\u03b5\u03c3\u03b5 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03bf\u03cd\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03b7 \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae.<\/p>\n<\/div>\n<h2 id=\"benchmarks\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ac benchmarks<\/h2>\n<p>\u03a3\u03c4\u03bf IntentBench, \u03c4\u03bf AffectOmni \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03bc\u03ad\u03c3\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 71,89 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 69,23 \u03c4\u03bf\u03c5 HumanOmniV2. \u0397 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 Emotion \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 80,78 \u03c3\u03b5 85,44, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 4,66 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03c9\u03bd \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd. \u03a4\u03bf When \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 57,14 \u03c3\u03b5 71,43, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 14,29 \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd. \u0397 Deception \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 66,50 \u03c3\u03b5 62,50, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf bootstrap confidence interval \u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03bc\u03b2\u03b1\u03bd\u03b5 \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd, \u03bf\u03c0\u03cc\u03c4\u03b5 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b5\u03bd \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03bf\u03c5\u03bd \u03c4\u03b7 \u03bc\u03b5\u03af\u03c9\u03c3\u03b7 \u03c9\u03c2 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 one-sided paired bootstrap \u03bc\u03b5 10.000 resamples \u03c3\u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 IntentBench \u03c4\u03c9\u03bd 2.689 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd. \u0397 \u03ac\u03bd\u03bf\u03b4\u03bf\u03c2 \u03c3\u03c4\u03bf Emotion \u03ae\u03c4\u03b1\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae, \u03bc\u03b5 <em>p<\/em>=0,008 \u03ba\u03b1\u03b9 95% confidence interval \u03b1\u03c0\u03cc +1,2 \u03ad\u03c9\u03c2 +8,3 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u03a3\u03c4\u03bf How, \u03b7 \u03ac\u03bd\u03bf\u03b4\u03bf\u03c2 3,64 \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03b5\u03af\u03c7\u03b5 <em>p<\/em>=0,002 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 +1,3 \u03ad\u03c9\u03c2 +5,9.<\/p>\n<p>\u03a3\u03c4\u03bf Daily-Omni, \u03bf \u03bc\u03ad\u03c3\u03bf\u03c2 \u03cc\u03c1\u03bf\u03c2 \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 58,47 \u03c3\u03b5 61,90 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf HumanOmniV2. \u03a4\u03bf Context \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03ba\u03b1\u03c4\u03ac 4,15 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, \u03c4\u03bf Reason \u03ba\u03b1\u03c4\u03ac 4,01 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03b4\u03b9\u03ac\u03c1\u03ba\u03b5\u03b9\u03b1\u03c2 60 \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03bf\u03bb\u03ad\u03c0\u03c4\u03c9\u03bd \u03ba\u03b1\u03c4\u03ac 5,46. \u03a4\u03bf Infer \u03ae\u03c4\u03b1\u03bd \u03b5\u03bb\u03b1\u03c6\u03c1\u03ce\u03c2 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf, \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae inference \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b8\u03b7\u03ba\u03b5 \u03bf\u03bc\u03bf\u03b9\u03cc\u03bc\u03bf\u03c1\u03c6\u03b1.<\/p>\n<p>\u03a3\u03c4\u03bf WorldSense, \u03c4\u03bf AffectOmni \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 48,80 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 47,70 \u03c4\u03bf\u03c5 HumanOmniV2 \u03ba\u03b1\u03b9 48,00 \u03c4\u03bf\u03c5 Gemini 1.5 Pro. \u03a0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c3\u03b5 Film, Tech \u03ba\u03b1\u03b9 Performance, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b3\u03bd\u03ce\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b1 cross-domain semantics \u03ad\u03c7\u03bf\u03c5\u03bd \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b2\u03ac\u03c1\u03bf\u03c2. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c3\u03c4\u03b7\u03bd \u03bf\u03c1\u03b3\u03ac\u03bd\u03c9\u03c3\u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03c9\u03bd, \u03cc\u03c7\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03bf\u03c1\u03c6\u03ae video reasoning.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2<\/p>\n<p class=\"td-chart-subtitle\">\u039f\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c0\u03c1\u03ce\u03c4\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 benchmark accuracy \u03ba\u03b1\u03b9 \u03b7 \u03c4\u03ad\u03c4\u03b1\u03c1\u03c4\u03b7 conditional accuracy \u03c3\u03b5 diagnostic \u03b4\u03b5\u03af\u03b3\u03bc\u03b1 100 \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03c9\u03bd. \u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c4\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">71,89<\/span><span class=\"td-metric-label\">\u03bc\u03ad\u03c3\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c3\u03c4\u03bf IntentBench<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">61,90<\/span><span class=\"td-metric-label\">\u03bc\u03ad\u03c3\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c3\u03c4\u03bf Daily-Omni<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">48,80<\/span><span class=\"td-metric-label\">\u03bc\u03ad\u03c3\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c3\u03c4\u03bf WorldSense<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">83,3%<\/span><span class=\"td-metric-label\">\u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf segmentation \u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"general-video-qa\">\u0397 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc video QA \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd \u03bf\u03bc\u03bf\u03b9\u03cc\u03bc\u03bf\u03c1\u03c6\u03b7<\/h2>\n<p>\u0393\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af \u03b1\u03bd \u03b7 \u03b5\u03be\u03b5\u03b9\u03b4\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 affective reasoning \u03c0\u03c1\u03bf\u03ba\u03b1\u03bb\u03b5\u03af catastrophic forgetting, \u03c4\u03bf AffectOmni \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf NExT-QA \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc fine-tuning \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf domain. \u03a0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 80,52% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 79,78% \u03c4\u03bf\u03c5 HumanOmniV2. \u03a0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03cc\u03bc\u03c9\u03c2 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03ac\u03bb\u03bb\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03c4\u03bf LLaVA-Video \u03bc\u03b5 83,20%.<\/p>\n<p>\u0397 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c4\u03cd\u03c0\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03bc\u03ad\u03c3\u03bf. \u03a4\u03bf AffectOmni \u03ae\u03c4\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03bf Temporal, 79,44% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 76,50%, \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf Descriptive, 86,48% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 83,77%. \u03a3\u03c4\u03bf Causal \u03ae\u03c4\u03b1\u03bd \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf, 79,28% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 80,50%. \u03a4\u03bf pattern \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03c4\u03c9\u03bd rewards: \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b1\u03b3\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03bf\u03bd\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03cc\u03bd\u03bf, \u03cc\u03c7\u03b9 \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b1\u03b9\u03c4\u03b9\u03ce\u03b4\u03b7\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b1\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2. \u039a\u03ac\u03b8\u03b5 reward design \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af inductive bias. \u0397 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03b5\u03ba\u03b5\u03af\u03bd\u03bf \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ad\u03c4\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03cc\u03c1\u03b9\u03c3\u03c4\u03b7 \u03b4\u03ae\u03bb\u03c9\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ad\u03b3\u03b9\u03bd\u03b5 \u00ab\u03c0\u03b9\u03bf \u03ad\u03be\u03c5\u03c0\u03bd\u03bf\u00bb. \u038c\u03c0\u03c9\u03c2 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/agent-mesh-giati-retries-microservices-den-arkoun-ai-agents\/\">\u03c0\u03bf\u03bb\u03c5\u03b2\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03bf\u03cd\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2<\/a>, \u03ba\u03ac\u03b8\u03b5 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 test set \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 failure path.<\/p>\n<h2 id=\"audit-interface\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf audit interface<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b1\u03bd 100 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 reasoning outputs \u03b1\u03c0\u03cc \u03c4\u03bf IntentBench. \u03a4\u03bf 84% \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03b1, \u03c4\u03bf 72% \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c4\u03bf 89% \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03b9\u03ba\u03ac, \u03b5\u03bd\u03ce \u03c4\u03bf 93% \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd \u03b4\u03cd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c4\u03cd\u03c0\u03bf\u03c5\u03c2. \u0397 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03bc\u03b5 Qwen-Max judge, strict binary criterion, \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf supporting span \u03ba\u03b1\u03b9 schema-constrained parsing. \u03a0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b4\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 feasibility, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b4\u03b5\u03af\u03b3\u03bc\u03b1, \u03c4\u03bf 98% \u03b1\u03bd\u03ad\u03c6\u03b5\u03c1\u03b5 \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf, \u03c4\u03bf 91% \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c4\u03bf 94% \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03b9\u03bc\u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1. \u03a4\u03bf Basic Grounding \u03b9\u03ba\u03b1\u03bd\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf 98% \u03ba\u03b1\u03b9 \u03c4\u03bf High-Quality Grounding \u03c3\u03c4\u03bf 86%. \u039c\u03cc\u03bd\u03bf 39% \u03c0\u03b5\u03c1\u03b9\u03b5\u03af\u03c7\u03b5 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03c7\u03c1\u03ce\u03bc\u03b1 \u03ae \u03c1\u03bf\u03cd\u03c7\u03b1. \u0391\u03c5\u03c4\u03ae \u03b7 \u03ad\u03bb\u03bb\u03b5\u03b9\u03c8\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b1\u03c5\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03c5\u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03b5\u03c2 \u03ae \u03bc\u03b5\u03c1\u03b9\u03ba\u03ce\u03c2 \u03ba\u03c1\u03c5\u03bc\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c3\u03ba\u03b7\u03bd\u03ad\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc audit, \u03bf\u03b9 annotators \u03ad\u03b2\u03bb\u03b5\u03c0\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf segmentation \u03c4\u03bf\u03c5 SAM3, \u03cc\u03c7\u03b9 \u03c4\u03b7 \u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03ae \u03c4\u03bf ground-truth label. \u038c\u03c4\u03b1\u03bd \u03c4\u03bf segmentation \u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c3\u03c4\u03cc\u03c7\u03bf, \u03b7 conditional accuracy \u03ae\u03c4\u03b1\u03bd 83,3%. \u038c\u03c4\u03b1\u03bd \u03ba\u03c1\u03af\u03b8\u03b7\u03ba\u03b5 \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf, \u03ad\u03c0\u03b5\u03c6\u03c4\u03b5 \u03c3\u03c4\u03bf 35,3%. \u0397 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03ae\u03c4\u03b1\u03bd 77% \u03ba\u03b1\u03b9 \u03bf \u03c3\u03c5\u03bd\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03ae\u03c2 Phi 0,48, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03bc\u03ad\u03c4\u03c1\u03b9\u03b1 \u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7.<\/p>\n<p>\u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf warning signal: \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03bf \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7, \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bf \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9, \u03cc\u03bc\u03c9\u03c2, \u03cc\u03c4\u03b9 \u03c4\u03bf segmentation \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03b9\u03c4\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u03c2. \u03a4\u03bf interface \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c9\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 triage \u03ba\u03b1\u03b9 falsification \u03c0\u03b1\u03c1\u03ac \u03c9\u03c2 \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03c4\u03b9\u03ba\u03cc \u03bf\u03c1\u03b8\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-decision-title\">\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc grounding \u03b3\u03b9\u03b1 escalation, \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b5\u03c4\u03c5\u03bc\u03b7\u03b3\u03bf\u03c1\u03af\u03b1<\/p>\n<p>\u0391\u03bd \u03c4\u03bf evidence package \u03b4\u03b5\u03bd \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf, \u03c4\u03b7\u03bd \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03c0\u03c1\u03ac\u03be\u03b7 \u03ae \u03c4\u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03c4\u03b9\u03b3\u03bc\u03ae, \u03b7 \u03ad\u03be\u03bf\u03b4\u03bf\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b7\u03b3\u03b1\u03af\u03bd\u03b5\u03b9 \u03c3\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf review. \u0391\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf grounding \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03cc, \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 context, privacy checks \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 \u03b1\u03bc\u03c6\u03b9\u03c3\u03b2\u03ae\u03c4\u03b7\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<h2 id=\"oria-kindynoi\">False negatives, \u03c3\u03b1\u03c1\u03ba\u03b1\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03b1 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1\u03c2<\/h2>\n<p>\u0391\u03c0\u03cc \u03c4\u03b9\u03c2 67 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 audit, \u03bf\u03b9 12 \u03b5\u03af\u03c7\u03b1\u03bd \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf segmentation. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 false-negative rate 17,9%. \u039c\u03b9\u03b1 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b1 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c8\u03b5\u03b9 \u03b1\u03c0\u03cc bias \u03c4\u03bf\u03c5 summarizer, \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 grounding \u03b1\u03c0\u03cc \u03c4\u03bf SAM3 \u03ae \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ba\u03c1\u03af\u03c3\u03b7. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03bf verifier \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u03c4\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03bf\u03c5 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5.<\/p>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b9 \u03bf \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc\u03c2 \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03b4\u03c1\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03ac\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03c4\u03bf verification module \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af. \u0397 \u03c3\u03b1\u03c1\u03ba\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03ae \u03c0\u03b1\u03c1\u03b1\u03c0\u03bb\u03b1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b7, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03ae \u03ad\u03ba\u03c6\u03c1\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b7 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03bf \u03cc\u03c1\u03b9\u03bf. \u0388\u03bd\u03b1 \u03b2\u03bb\u03ad\u03bc\u03bc\u03b1, \u03bc\u03b9\u03b1 \u03c3\u03c4\u03ac\u03c3\u03b7 \u03ae \u03bc\u03b9\u03b1 \u03ad\u03ba\u03c6\u03c1\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bd\u03cc\u03b7\u03bc\u03b1. \u03a4\u03bf \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03c3\u03bc\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf, \u03b7 \u03bd\u03b5\u03c5\u03c1\u03bf\u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b7\u03c1\u03af\u03b1, \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bb\u03ae\u03c8\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03b5\u03c7\u03cc\u03bd\u03c4\u03c9\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1. \u0388\u03bd\u03b1 system card \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf benchmark accuracy \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 subgroup tests, out-of-distribution \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03c4\u03c9\u03bd \u03c0\u03b5\u03c1\u03b9\u03c0\u03c4\u03ce\u03c3\u03b5\u03c9\u03bd \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bf\u03c6\u03b5\u03af\u03bb\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03ad\u03c7\u03b5\u03b9.<\/p>\n<p>\u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03b5\u03af \u03bc\u03b5 \u03c4\u03bf NIST AI Risk Management Framework: validity, reliability, transparency, explainability, privacy \u03ba\u03b1\u03b9 fairness \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b1\u03bb\u03bb\u03b7\u03bb\u03ad\u03bd\u03b4\u03b5\u03c4\u03bf\u03b9 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03b9. \u03a3\u03c4\u03b9\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03bf\u03c5\u03bd \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ae \u03c0\u03c1\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2, \u03b7 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03ba\u03bf\u03c3\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc \u03b2\u03ae\u03bc\u03b1 \u03b1\u03bb\u03bb\u03ac \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd.<\/p>\n<h2 id=\"business-use-cases\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 marketing, CX \u03ba\u03b1\u03b9 video analytics<\/h2>\n<p>\u03a3\u03c4\u03bf customer research, \u03ad\u03bd\u03b1 evidence package \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c3\u03b5 \u03c0\u03bf\u03b9\u03bf segment \u03bc\u03b9\u03b1\u03c2 \u03c3\u03c5\u03bd\u03ad\u03bd\u03c4\u03b5\u03c5\u03be\u03b7\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b7 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7, \u03c0\u03bf\u03b9\u03bf \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf \u03b1\u03c6\u03bf\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c4\u03b7 \u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b5. \u039f researcher \u03b8\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf output \u03b3\u03b9\u03b1 \u03c0\u03c1\u03bf\u03c4\u03b5\u03c1\u03b1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03b8\u03b5\u03ce\u03c1\u03b7\u03c3\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b4\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf creative testing, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 clips \u03cc\u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae, \u03b7 \u03c3\u03c4\u03ac\u03c3\u03b7 \u03ae \u03b7 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7, \u03ce\u03c3\u03c4\u03b5 \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b3\u03c1\u03b7\u03b3\u03bf\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03bf\u03c2. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03c0\u03bb\u03bf\u03ca\u03ba\u03cc score \u00ab\u03b8\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u00bb \u03ae \u00ab\u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03bf\u03cd\u00bb \u03b8\u03b5\u03b1\u03c4\u03ae. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03b3\u03b9\u03b1 social listening \u03bc\u03b5 \u03b2\u03af\u03bd\u03c4\u03b5\u03bf: \u03b7 \u03bf\u03c1\u03b1\u03c4\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03b3\u03b9\u03b1 review, \u03cc\u03c7\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf customer support, \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc use case \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03c4\u03b5\u03c1\u03b1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 recordings \u03b3\u03b9\u03b1 quality assurance \u03cc\u03c4\u03b1\u03bd \u03c3\u03c5\u03bc\u03c0\u03af\u03c0\u03c4\u03bf\u03c5\u03bd \u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2, \u03bf\u03c0\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2. \u0393\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03b5\u03be\u03c5\u03c0\u03b7\u03c1\u03ad\u03c4\u03b7\u03c3\u03b7, \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ad\u03c2, \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b5\u03c1\u03b3\u03b1\u03b6\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 approvals, retention rules \u03ba\u03b1\u03b9 audit logs. \u0397 <a href=\"https:\/\/twodots.gr\/automation-robotics-ai-business\/\">\u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 automation \u03ba\u03b1\u03b9 AI \u03bc\u03b5 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac business workflows<\/a> \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2, \u03bf\u03b9 \u03b5\u03be\u03b1\u03b9\u03c1\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf fallback \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ac \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03c3\u03b9\u03bc\u03bf \u03bc\u03bf\u03c4\u03af\u03b2\u03bf \u03c4\u03bf\u03c5 AffectOmni \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03cc: \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 evidence criteria \u03b3\u03b9\u03b1 \u03c4\u03bf domain, \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bc\u03b5 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7 \u03ad\u03be\u03bf\u03b4\u03bf, \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bc\u03b5 \u03c3\u03b5 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03b7 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bc\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf verifier. \u0391\u03bd \u03bf verifier \u03b1\u03c0\u03bf\u03c4\u03cd\u03c7\u03b5\u03b9, \u03c4\u03bf workflow \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c4\u03bf \u03b5\u03ba\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c9\u03c2 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf. \u0394\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03ba\u03b5\u03bd\u03cc \u03bc\u03b5 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1.<\/p>\n<h2 id=\"production-checklist\">\u0388\u03bd\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf \u03c0\u03bb\u03ac\u03bd\u03bf \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7<\/h2>\n<p>\u03a0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 production pilot, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03af\u03c3\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03b1\u03b3\u03bf\u03c1\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9. \u0386\u03bb\u03bb\u03bf \u03b7 \u03b5\u03cd\u03c1\u03b5\u03c3\u03b7 clips \u03b3\u03b9\u03b1 research review \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03bf \u03b7 \u03ba\u03c1\u03af\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7 \u03ae \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c0\u03c1\u03bf\u03c3\u03ce\u03c0\u03bf\u03c5. \u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03bf \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2\u00b7 \u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf \u03b1\u03bd\u03c4\u03af\u03ba\u03c4\u03c5\u03c0\u03bf.<\/p>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03bf\u03cd\u03c2 \u03ac\u03be\u03bf\u03bd\u03b5\u03c2: answer accuracy, evidence relevance, localization quality \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1. \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ce\u03bd\u03c4\u03b1\u03b9 false positives \u03ba\u03b1\u03b9 false negatives \u03c4\u03bf\u03c5 verifier, \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b5\u03c2 \u03c3\u03ba\u03b7\u03bd\u03ad\u03c2, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03c3\u03bc\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1 \u03ba\u03b1\u03b9 sensitivity \u03c3\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03ba\u03ac\u03bc\u03b5\u03c1\u03b1\u03c2, \u03c6\u03c9\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 \u03ae\u03c7\u03bf\u03c5.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf multimodal AI<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Scope<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/strong>\n<p>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c4\u03b5\u03c1\u03b1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c5\u03bb\u03b9\u03ba\u03bf\u03cd \u03b3\u03b9\u03b1 review \u03b1\u03c0\u03cc \u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7, \u03b5\u03c1\u03b3\u03b1\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf, \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03ae \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Consent<\/span><strong>\u03a4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03c3\u03c4\u03b5 \u03c3\u03c5\u03bd\u03b1\u03af\u03bd\u03b5\u03c3\u03b7, \u03c3\u03ba\u03bf\u03c0\u03cc \u03ba\u03b1\u03b9 retention<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03b2\u03af\u03bd\u03c4\u03b5\u03bf \u03b1\u03bd\u03b1\u03bb\u03cd\u03b5\u03c4\u03b1\u03b9, \u03b3\u03b9\u03b1 \u03c0\u03bf\u03b9\u03bf \u03c3\u03ba\u03bf\u03c0\u03cc, \u03c0\u03cc\u03c3\u03bf \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Evidence<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03b8\u03b5\u03bc\u03b9\u03c4\u03ad\u03c2 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2<\/strong>\n<p>\u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b5\u03c2 \u03b5\u03ba\u03c6\u03c1\u03ac\u03c3\u03b5\u03b9\u03c2, \u03c0\u03c1\u03ac\u03be\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf use case \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b5\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Metrics<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03bf \u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 accuracy, evidence relevance, localization, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03ba\u03b1\u03b9 coverage \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1\u03bd \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03b2\u03b1\u03b8\u03bc\u03cc.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Stress test<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bc\u03c6\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03c3\u03ba\u03b7\u03bd\u03ad\u03c2<\/strong>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 sarcasm, deception, occlusion, \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03b1, \u03b1\u03c3\u03c5\u03bd\u03ae\u03b8\u03b9\u03c3\u03c4\u03b7 \u03c3\u03c4\u03ac\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03c3\u03bc\u03b9\u03ba\u03ac \u03b1\u03bc\u03c6\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03b5\u03ba\u03c6\u03c1\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Escalation<\/span><strong>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03c3\u03b1\u03c6\u03ae \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5 review<\/strong>\n<p>\u0397 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 grounding, \u03b7 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1 \u03ae \u03b7 \u03c5\u03c8\u03b7\u03bb\u03ae \u03b5\u03c0\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03c1\u03bf\u03ae \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf task.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Monitor<\/span><strong>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 drift \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b5\u03c2<\/strong>\n<p>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 logs \u03b3\u03b9\u03b1 model version, evidence package, reviewer decision \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf workflow \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ac.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0397 \u03c0\u03b9\u03bf \u03ce\u03c1\u03b9\u03bc\u03b7 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03ae \u03bc\u03ac\u03c3\u03ba\u03b1 \u03bf\u03cd\u03c4\u03b5 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03c5\u03c8\u03b7\u03bb\u03cc \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf. \u03a0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03bf, \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf, \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c0\u03cc\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c6\u03c9\u03bd\u03bf\u03cd\u03bd \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b7 \u03c1\u03bf\u03ae \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae.<\/p>\n<p>\u03a4\u03bf AffectOmni \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03ac \u03c4\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b1 benchmarks. \u03a0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03ad\u03bd\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf design pattern \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc AI: \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc output \u03c0\u03b5\u03c1\u03bd\u03ac\u03bc\u03b5 \u03c3\u03b5 evidence \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af, \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03cd\u03c7\u03b5\u03b9 \u03bf\u03c1\u03b1\u03c4\u03ac \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bc\u03c6\u03b9\u03c3\u03b2\u03b7\u03c4\u03b7\u03b8\u03b5\u03af \u03b1\u03c0\u03cc \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-eyebrow\">Gesch\u00e4ftsautomatisierung &amp; KI<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 AI workflow \u03bc\u03b5 evidence checks \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf fallback<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03c4\u03bf business process, \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c4\u03b1 approvals \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03c0\u03c1\u03b9\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9 AI \u03bc\u03b5 CRM, support, marketing \u03ae reporting. \u0388\u03c4\u03c3\u03b9 \u03b7 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7, \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7.<\/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 \u03c4\u03bf\u03c5\u03c2 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">H\u00e4ufig gestellte Fragen<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf AffectOmni;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b3\u03b9\u03b1 multimodal affective reasoning. \u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf 7B \u03bc\u03b5 rewards \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 post-hoc \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc audit \u03bc\u03ad\u03c3\u03c9 SAM3.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bc\u03b9\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b2\u03b1\u03c3\u03b9\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf background cue. \u039c\u03b9\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bb\u03cc\u03b3\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03b8\u03c1\u03b1\u03c5\u03c3\u03c4\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03b2\u03ac\u03c3\u03b7 \u03b3\u03b9\u03b1 audit.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd \u03c4\u03b1 People-Focus \u03ba\u03b1\u03b9 Temporal-Order rewards;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf People-Focus \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c3\u03b5 \u03ad\u03ba\u03c6\u03c1\u03b1\u03c3\u03b7, \u03c3\u03ce\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7. \u03a4\u03bf Temporal-Order \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03be\u03ad\u03bb\u03b9\u03be\u03b7 \u03c4\u03c9\u03bd \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c4\u03c9\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Minimal Evidence Package;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03c5\u03ba\u03bd\u03c9\u03bc\u03ad\u03bd\u03b7, \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03bc\u03b5 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1, \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03b1, \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b4\u03b5\u03af\u03ba\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03b7 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc verifier.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03bf SAM3 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03bf \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03c4\u03b5\u03af. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03b9\u03c4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bf\u03cd\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03bf \u03c3\u03c5\u03bd\u03b1\u03af\u03c3\u03b8\u03b7\u03bc\u03b1 \u03ae \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c4\u03bf IntentBench;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03bc\u03ad\u03c3\u03b7 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03b1\u03c5\u03be\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 69,23 \u03c3\u03b5 71,89 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03bf\u03c5 HumanOmniV2, \u03bc\u03b5 \u03ac\u03bd\u03bf\u03b4\u03bf 4,66 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03c9\u03bd \u03bc\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03c3\u03c4\u03bf Emotion \u03ba\u03b1\u03b9 14,29 \u03c3\u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 When.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03cd \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b5\u03c2 \u03c3\u03b5 deception \u03ba\u03b1\u03b9 sarcasm, \u03b1\u03b4\u03c1\u03cc temporal localization, \u03bc\u03b7 \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b4\u03b9\u03ac\u03b4\u03bf\u03c3\u03b7 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03c4\u03bf\u03bd verifier \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7\u03c2 \u03c3\u03b5 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b5\u03c2 \u03c3\u03ba\u03b7\u03bd\u03ad\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03ce\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03c5\u03c0\u03b5\u03cd\u03b8\u03c5\u03bd\u03b1 \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a9\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03c1\u03b1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c5 review, \u03bc\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ad\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03bf, \u03c3\u03b1\u03c6\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae privacy \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b5\u03c2 \u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03b1\u03bd\u03c4\u03af\u03ba\u03c4\u03c5\u03c0\u03bf\u03c5 \u03b3\u03b9\u03b1 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Quellen<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.26193\" target=\"_blank\" rel=\"noopener\">Wang et al., AffectOmni: RL-Verifiable People-Centric Grounded Affective Reasoning<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/eliot127825-rgb\/AffectOmni_nobody\" target=\"_blank\" rel=\"noopener\">AffectOmni, \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf \u03b1\u03c0\u03bf\u03b8\u03b5\u03c4\u03ae\u03c1\u03b9\u03bf \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST, AI Risk Management Framework<\/a><\/li>\n<li><a href=\"https:\/\/doi.org\/10.6028\/NIST.AI.600-1\" target=\"_blank\" rel=\"noopener\">NIST AI 600-1, Generative AI Profile<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf AffectOmni \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c3\u03c5\u03bd\u03b1\u03b9\u03c3\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b5\u03c2 \u03b5\u03bd\u03b4\u03b5\u03af\u03be\u03b5\u03b9\u03c2, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac \u03ba\u03b1\u03b9 post-hoc \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc audit. \u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03c3\u03c6\u03b1\u03bb\u03b5\u03af\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03c3\u03b5 business AI.<\/p>","protected":false},"author":1,"featured_media":113408,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","footnotes":""},"categories":[199],"tags":[21648,9260,19230,7549,18467],"class_list":["post-104941","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-affective-computing","tag-ai-governance","tag-computer-vision","tag-explainable-ai","tag-multimodal-ai"],"_links":{"self":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/104941","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/comments?post=104941"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/104941\/revisions"}],"predecessor-version":[{"id":113409,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/104941\/revisions\/113409"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/media\/113408"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/media?parent=104941"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/categories?post=104941"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/tags?post=104941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}