{"id":96262,"date":"2026-09-10T09:59:40","date_gmt":"2026-09-10T06:59:40","guid":{"rendered":"https:\/\/twodots.gr\/?p=96262"},"modified":"2026-09-10T09:59:42","modified_gmt":"2026-09-10T06:59:42","slug":"xkv-ai-agents-latent-cache-communication","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/xkv-ai-agents-latent-cache-communication\/","title":{"rendered":"XKV: \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 AI agents \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03bf\u03cd\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03bc\u03b7\u03bd\u03cd\u03bc\u03b1\u03c4\u03b1"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf XKV \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c1\u03b9\u03b6\u03b9\u03ba\u03ac \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c3\u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03cc handoff \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 AI agents:<\/strong> \u03b1\u03bd\u03c4\u03af \u03bf \u03ad\u03bd\u03b1\u03c2 agent \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ba\u03b1\u03b9 \u03bf \u03ac\u03bb\u03bb\u03bf\u03c2 \u03bd\u03b1 \u03c4\u03bf \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03b9 \u03be\u03b1\u03bd\u03ac, \u03ad\u03bd\u03b1\u03c2 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c2 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b9\u03bc\u03bf\u03c2 translator \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b1\u03c0\u03b5\u03c5\u03b8\u03b5\u03af\u03b1\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 key-value caches \u03b4\u03cd\u03bf \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03c9\u03bd \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ce\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd.<\/p>\n<p>\u03a3\u03c4\u03b1 45 dataset\u2013model-pair settings \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03c4\u03bf XKV \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc macro score, \u03bc\u03b5\u03c4\u03ad\u03c6\u03c1\u03b1\u03b6\u03b5 \u03ad\u03bd\u03b1 \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2 caches \u03c3\u03b5 5,8 ms \u03b1\u03bd\u03c4\u03af 59,9 ms \u03b3\u03b9\u03b1 \u03c4\u03bf LCF-X \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 76,1% \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2. \u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b5\u03bd\u03cc: \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 latent \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03b5 split-evidence reasoning, \u03cc\u03c7\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 multi-agent workflow \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03b3\u03ba\u03b1\u03c4\u03b1\u03bb\u03b5\u03af\u03c8\u03b5\u03b9 \u03c4\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03b1 \u03bc\u03b7\u03bd\u03cd\u03bc\u03b1\u03c4\u03b1.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#akrivo-text-handoff\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf text handoff \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03cc<\/a><\/li>\n<li><a href=\"#c2c-lcfx-xkv\">\u0391\u03c0\u03cc \u03c4\u03bf C2C \u03ba\u03b1\u03b9 \u03c4\u03bf LCF-X \u03c3\u03c4\u03bf XKV<\/a><\/li>\n<li><a href=\"#ti-kai-pou\">\u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 XKV: \u00ab\u03c4\u03b9\u00bb \u03ba\u03b1\u03b9 \u00ab\u03c0\u03bf\u03cd\u00bb<\/a><\/li>\n<li><a href=\"#eterogeni-montela\">\u03a0\u03ce\u03c2 \u03b3\u03b5\u03c6\u03c5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1<\/a><\/li>\n<li><a href=\"#peirama-45-settings\">\u03a4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c4\u03c9\u03bd 45 settings<\/a><\/li>\n<li><a href=\"#apotelesmata-poiotitas\">\u03a4\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#latency-parametroi\">Latency \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf\u03b9<\/a><\/li>\n<li><a href=\"#ablations\">\u03a4\u03b9 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c4\u03b1 ablations<\/a><\/li>\n<li><a href=\"#enterprise-architektoniki\">\u03a4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 enterprise AI<\/a><\/li>\n<li><a href=\"#auditability-asfaleia\">Auditability, \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 fallback<\/a><\/li>\n<li><a href=\"#pilot-axiologisis\">\u0388\u03bd\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc pilot \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/a><\/li>\n<li><a href=\"#ti-kratame\">\u03a4\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac\u03bc\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf XKV<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"akrivo-text-handoff\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf text handoff \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03cc<\/h2>\n<p>\u0397 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03b9\u03bf \u03c6\u03bf\u03c1\u03b7\u03c4\u03cc interface \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1. \u0394\u03b5\u03bd \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03ba\u03bf\u03b9\u03bd\u03cc tokenizer, \u03af\u03b4\u03b9\u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc layers \u03ae \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2. \u0395\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03c5\u03c4\u03b5\u03af \u03c3\u03b5 logs \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03bf sender.<\/p>\n<p>\u0397 \u03b5\u03c5\u03ba\u03bf\u03bb\u03af\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2. \u039f sender \u03ba\u03ac\u03bd\u03b5\u03b9 autoregressive decoding \u03c4\u03bf\u03c5 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03bf\u03c5 \u03bc\u03b7\u03bd\u03cd\u03bc\u03b1\u03c4\u03bf\u03c2, \u03bf receiver \u03ba\u03ac\u03bd\u03b5\u03b9 tokenization \u03ba\u03b1\u03b9 prefill \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b5\u03c7\u03bf\u03bc\u03ad\u03bd\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c4\u03bf\u03c5 \u03c4\u03b9 \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03bf \u03c0\u03b1\u03c1\u03b1\u03bb\u03ae\u03c0\u03c4\u03b7\u03c2. \u038c\u03c4\u03b1\u03bd \u03c4\u03bf handoff \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03bc\u03bf\u03bd\u03bf\u03c0\u03ac\u03c4\u03b9 \u03bc\u03b9\u03b1\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2, \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf decode\u2013encode loop \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 latency \u03c0\u03c1\u03b9\u03bd \u03be\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9 \u03b7 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 cross-context \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1:<\/strong> \u03bf Sharer \u03ba\u03b1\u03b9 \u03bf Receiver \u03ad\u03c7\u03bf\u03c5\u03bd \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac, \u03bc\u03b7 \u03b5\u03c0\u03b9\u03ba\u03b1\u03bb\u03c5\u03c0\u03c4\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 context \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5. \u0397 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 \u03bc\u03b5 CRM, policies, \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03ae \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1\u00b7 \u03c4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03ad\u03b3\u03b9\u03bd\u03b1\u03bd \u03c3\u03b5 \u03c0\u03ad\u03bd\u03c4\u03b5 split-evidence reasoning datasets.<\/p>\n<\/aside>\n<p>\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc <a href=\"https:\/\/twodots.gr\/multi-agent-ai-concurrency-control\/\">multi-agent \u03c3\u03c5\u03c3\u03c4\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc state<\/a>. \u0397 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd ownership, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03b1\u03c6\u03ae.<\/p>\n<h2 id=\"c2c-lcfx-xkv\">\u0391\u03c0\u03cc \u03c4\u03bf C2C \u03ba\u03b1\u03b9 \u03c4\u03bf LCF-X \u03c3\u03c4\u03bf XKV<\/h2>\n<p>\u039f\u03b9 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b5\u03c2 cache-to-cache \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03cc\u03c4\u03b9 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc tokens. \u03a4\u03bf C2C \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03af\u03b6\u03b5\u03b9 \u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c5\u03c0\u03bf\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf input. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03ad\u03bd\u03b1 handoff \u03cc\u03c0\u03bf\u03c5 \u03bf\u03b9 agents \u03ad\u03c7\u03bf\u03c5\u03bd \u03b4\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac documents.<\/p>\n<p>\u03a4\u03bf LCF-X \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b5 \u03c4\u03b7\u03bd \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03ba\u03bf\u03b9\u03bd\u03bf\u03cd context \u03bc\u03ad\u03c3\u03c9 position-free pooling: \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd cache \u03c4\u03bf\u03c5 Sharer \u03c3\u03b5 summary \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 Receiver. \u03a3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03bf\u03c5\u03c2 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c4\u03bf\u03c5 XKV, \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd. \u03a4\u03bf summary \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd cache \u03c4\u03bf\u03c5 Sharer, \u03ba\u03ac\u03b8\u03b5 \u03b8\u03ad\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 receiver layer \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc summary \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u03c5\u03c0\u03bf\u03b8\u03ad\u03c4\u03b5\u03b9 \u03af\u03b4\u03b9\u03bf \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc layers \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03ae KV \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03af\u03b1.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Text-to-text<\/p>\n<p>\u039f Sharer \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03bf \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03bf Receiver \u03c4\u03bf \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03be\u03b1\u03bd\u03ac. \u0395\u03af\u03bd\u03b1\u03b9 \u03c6\u03bf\u03c1\u03b7\u03c4\u03cc \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf, \u03b1\u03bb\u03bb\u03ac \u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 autoregressive decoding \u03c3\u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03bc\u03bf\u03bd\u03bf\u03c0\u03ac\u03c4\u03b9.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u0391\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03bf trace<\/span><span class=\"td-badge\">\u03a5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf latency<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">LCF-X<\/p>\n<p>\u039c\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 position-free summary \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd cache \u03c4\u03bf\u03c5 Sharer \u03c7\u03c9\u03c1\u03af\u03c2 \u03ba\u03bf\u03b9\u03bd\u03cc context. \u03a0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 sender-centric \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af layer-local single-summary conditioning.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Latent channel<\/span><span class=\"td-badge\">Sharer-only summary<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">XKV<\/p>\n<p>\u039a\u03ac\u03bd\u03b5\u03b9 pooling \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf caches, \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03af\u03b6\u03b5\u03b9 \u03c4\u03b1 layers \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03ae \u03bc\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03bf\u03c5 Receiver \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc residual.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Receiver-aware<\/span><span class=\"td-badge\">Native KV geometry<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a4\u03bf XKV \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03bb\u03bb\u03b7 \u03bc\u03af\u03b1 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 long context. \u03a3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b4\u03cd\u03bf frozen language models, \u03ce\u03c3\u03c4\u03b5 \u03bf Receiver \u03bd\u03b1 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ce\u03bd\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03bf Sharer.<\/p>\n<h2 id=\"ti-kai-pou\">\u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 XKV: \u00ab\u03c4\u03b9\u00bb \u03ba\u03b1\u03b9 \u00ab\u03c0\u03bf\u03cd\u00bb<\/h2>\n<p>\u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2. \u0397 \u03c0\u03c1\u03ce\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 <em>\u03c4\u03b9 \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b7\u03b8\u03b5\u03af<\/em>. \u03a4\u03bf XKV \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af learned-query attention \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf KV caches, \u03ba\u03c1\u03b1\u03c4\u03ce\u03bd\u03c4\u03b1\u03c2 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac candidate summaries \u03b1\u03bd\u03ac layer \u03ba\u03b1\u03b9 KV head. \u0388\u03c4\u03c3\u03b9 \u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c4\u03bf\u03c5 Sharer \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03cc\u03c3\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03bf Receiver, \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf sender-authored \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1.<\/p>\n<p>\u0397 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 <em>\u03c0\u03bf\u03cd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b3\u03c1\u03b1\u03c6\u03c4\u03b5\u03af \u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1<\/em>. \u039a\u03ac\u03b8\u03b5 raw \u03b8\u03ad\u03c3\u03b7 \u03c4\u03b7\u03c2 receiver cache \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 query \u03c0\u03c1\u03bf\u03c2 \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b1\u03b3\u03ae \u03ba\u03bf\u03b9\u03bd\u03ae \u03bc\u03bd\u03ae\u03bc\u03b7. \u0388\u03bd\u03b1\u03c2 shared decoder \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 gated residuals \u03c3\u03c4\u03bf native KV geometry \u03c4\u03bf\u03c5 Receiver. \u0397 cache \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03af\u03c3\u03c4\u03b1\u03c4\u03b1\u03b9\u00b7 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 residual correction, \u03ce\u03c3\u03c4\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 summaries.<\/p>\n<div class=\"td-decision-band\">\n<div class=\"td-decision-band-content\">\n<p class=\"td-decision-band-kicker\">\u039f \u03c0\u03c5\u03c1\u03ae\u03bd\u03b1\u03c2 \u03c4\u03bf\u03c5 XKV<\/p>\n<p class=\"td-decision-band-title\">\u03a4\u03bf \u00ab\u03c4\u03b9 \u03b8\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9\u00bb \u03ba\u03bf\u03b9\u03c4\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf caches\u00b7 \u03c4\u03bf \u00ab\u03c0\u03bf\u03cd \u03b8\u03b1 \u03b3\u03c1\u03b1\u03c6\u03c4\u03b5\u03af\u00bb \u03c4\u03bf \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03bf Receiver<\/p>\n<p>\u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 joint communication memory \u03ba\u03b1\u03b9 position-specific retrieval \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03c4\u03bf single-summary bottleneck \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03c4\u03c9\u03bd \u03b4\u03cd\u03bf base models.<\/p>\n<\/div>\n<\/div>\n<p>\u03a4\u03b1 output heads \u03b3\u03b9\u03b1 keys \u03ba\u03b1\u03b9 values \u03b1\u03c1\u03c7\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd. \u03a0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u03bf translator \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b7 receiver-only \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac. \u039a\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03c4\u03b7\u03c2 cache, \u03b5\u03bd\u03ce \u03c4\u03b1 \u03b4\u03cd\u03bf LLMs \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd frozen. \u03a3\u03c4\u03bf inference \u03b7 \u03b5\u03bd\u03b7\u03bc\u03ad\u03c1\u03c9\u03c3\u03b7 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03cc greedy decoding \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03c4\u03b1\u03b9 \u03bd\u03ad\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03bf token.<\/p>\n<h2 id=\"eterogeni-montela\">\u03a0\u03ce\u03c2 \u03b3\u03b5\u03c6\u03c5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1<\/h2>\n<p>\u039f\u03b9 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b4\u03cd\u03bf LLMs \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bd\u03cc\u03b7\u03c4\u03b1 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03ad\u03c2. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c3\u03b5 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1, \u03b2\u03ac\u03b8\u03bf\u03c2, \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc KV heads, head dimension \u03ba\u03b1\u03b9 tokenizer. \u03a4\u03bf XKV \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af learned layer map \u03ce\u03c3\u03c4\u03b5 \u03c4\u03b1 pooled summaries \u03c4\u03bf\u03c5 Sharer \u03bd\u03b1 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03c4\u03bf\u03cd\u03bd \u03c3\u03c4\u03bf\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc layers \u03c4\u03bf\u03c5 Receiver. \u038c\u03c4\u03b1\u03bd \u03c4\u03b1 \u03b2\u03ac\u03b8\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03af\u03b4\u03b9\u03b1, \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 identity mapping.<\/p>\n<p>\u039c\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7, \u03c4\u03b1 summaries \u03c4\u03c9\u03bd \u03b4\u03cd\u03bf \u03c0\u03bb\u03b5\u03c5\u03c1\u03ce\u03bd \u03c3\u03c5\u03bd\u03b5\u03bd\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9, \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc bottleneck \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03bc\u03b5\u03b9\u03b3\u03bd\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 self-attention. \u0397 \u03ba\u03bf\u03b9\u03bd\u03ae \u03bc\u03bd\u03ae\u03bc\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03ad\u03bd\u03b1 token \u03b1\u03bd\u03ac receiver layer, \u03ac\u03c1\u03b1 \u03c4\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b2\u03ac\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 Receiver \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2 \u03c4\u03c9\u03bd prompts. \u039f decoder, \u03c4\u03bf gate \u03ba\u03b1\u03b9 \u03c4\u03b1 output heads \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd layers, \u03b5\u03bd\u03ce learned layer embeddings \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03c4\u03b7\u03bd \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03ac\u03b8\u03b5 layer.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b5\u03c5\u03b5\u03bb\u03b9\u03be\u03af\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03cc\u03c1\u03b9\u03bf: \u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 KV caches \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 translator \u03b3\u03b9\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf ordered model pair. \u0388\u03bd\u03b1 \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03cc API \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03bf \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc state.<\/p>\n<h2 id=\"peirama-45-settings\">\u03a4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c4\u03c9\u03bd 45 settings<\/h2>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 Qwen3-0.6B, Gemma-3-1B \u03ba\u03b1\u03b9 Llama-3.2-3B \u03c9\u03c2 Sharer \u03ba\u03b1\u03b9 Receiver. \u03a4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 3\u00d73 ordered grid \u03ad\u03b4\u03c9\u03c3\u03b5 \u03b5\u03bd\u03bd\u03ad\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7: \u03ad\u03be\u03b9 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 \u03af\u03b4\u03b9\u03b1\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1\u03c2. \u039f\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b1\u03bd ROPES, MuSiQue \u03ba\u03b1\u03b9 HotpotQA-bridge \u03b3\u03b9\u03b1 generative multi-hop QA, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 QASC \u03ba\u03b1\u03b9 StrategyQA \u03b3\u03b9\u03b1 classification-style reasoning. \u0388\u03c4\u03c3\u03b9 \u03c0\u03c1\u03bf\u03ad\u03ba\u03c5\u03c8\u03b1\u03bd 45 dataset\u2013model-pair cells.<\/p>\n<p>\u03a3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03c4\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03b9\u03ba\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03bd \u03bd\u03c4\u03b5\u03c4\u03b5\u03c1\u03bc\u03b9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03b4\u03cd\u03bf \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2. \u0397 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9, \u03cc\u03c0\u03bf\u03c5 \u03c5\u03c0\u03ae\u03c1\u03c7\u03b1\u03bd, \u03bf\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2 \u03ae\u03c4\u03b1\u03bd \u03bf\u03c1\u03b1\u03c4\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03b1\u03bb\u03bb\u03ac \u03c4\u03b1 evidence contexts \u03ae\u03c4\u03b1\u03bd \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac. \u0393\u03b9\u03b1 \u03c4\u03b1 generative datasets \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 exact match \u03ba\u03b1\u03b9 F1\u00b7 \u03b3\u03b9\u03b1 \u03c4\u03b1 classification datasets accuracy.<\/p>\n<p>\u039f\u03b9 baselines \u03ae\u03c4\u03b1\u03bd text-to-text \u03ba\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03bd\u03b9\u03c3\u03c7\u03c5\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae\u03c2 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c4\u03bf\u03c5 LCF-X. \u03a3\u03c4\u03b9\u03c2 latent \u03bc\u03b5\u03b8\u03cc\u03b4\u03bf\u03c5\u03c2 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf communication module. \u039a\u03ac\u03b8\u03b5 \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03c4\u03b7\u03ba\u03b5 \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 Nvidia A100 80GB, Ubuntu 22.04 \u03ba\u03b1\u03b9 CUDA 12.2, \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c4\u03c9\u03bd latency \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd.<\/p>\n<h2 id=\"apotelesmata-poiotitas\">\u03a4\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/h2>\n<p>\u03a3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7 \u03c4\u03c9\u03bd 45 cells, \u03c4\u03bf XKV \u03b5\u03af\u03c7\u03b5 macro native score 52,37, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 49,76 \u03b3\u03b9\u03b1 \u03c4\u03bf LCF-X \u03ba\u03b1\u03b9 48,86 \u03b3\u03b9\u03b1 \u03c4\u03bf text-to-text. \u0389\u03c4\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03ae \u03b9\u03c3\u03cc\u03b2\u03b1\u03b8\u03bc\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03b5 31 \u03b1\u03c0\u03cc \u03c4\u03b1 45 cells \u03ba\u03b1\u03b9 \u03b5\u03af\u03c7\u03b5 \u03bc\u03ad\u03c3\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 1,37. \u03a4\u03bf LCF-X \u03ae\u03c4\u03b1\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf baseline \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 generative QA datasets, \u03b5\u03bd\u03ce \u03c4\u03bf text-to-text \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf classification datasets.<\/p>\n<p>\u0397 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03bd\u03af\u03ba\u03b7. \u03a4\u03bf XKV \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03c4\u03bf LCF-X \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 datasets, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf text-to-text \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03bf\u03c1\u03b9\u03b1\u03ba\u03ac \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03bf QASC \u03ba\u03b1\u03c4\u03ac 0,27 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2. \u03a3\u03b5 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 model pairs \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 cells \u03cc\u03c0\u03bf\u03c5 \u03ac\u03bb\u03bb\u03bf \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9. \u03a4\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf XKV \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03b1\u03bd\u03c4\u03b1\u03b3\u03c9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf \u03b5\u03af\u03b4\u03b7 task, \u03cc\u03c7\u03b9 \u03cc\u03c4\u03b9 \u03b7 latent \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03c5\u03c0\u03b5\u03c1\u03ad\u03c7\u03b5\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1.<\/p>\n<p>\u03a3\u03c4\u03bf ROPES, \u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c4\u03bf\u03c5 XKV \u03ae\u03c4\u03b1\u03bd 50,48 exact match \u03ba\u03b1\u03b9 56,99 F1, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 45,86\/52,79 \u03b3\u03b9\u03b1 \u03c4\u03bf LCF-X. \u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af \u03c3\u03b5 4,62 EM \u03ba\u03b1\u03b9 4,20 F1 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf experimental setup. \u0391\u03c5\u03c4\u03ac \u03c4\u03b1 scores \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc benchmark \u03b3\u03b9\u03b1 customer support, marketing, e-commerce \u03ae tool-use agents.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf scope \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03b1\u03b8\u03b5\u03af:<\/strong> \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 arXiv v1, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03c1\u03af\u03b1 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ac \u03bc\u03b9\u03ba\u03c1\u03ac open models, \u03c0\u03ad\u03bd\u03c4\u03b5 split-evidence datasets \u03ba\u03b1\u03b9 \u03bc\u03af\u03b1 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1. \u0394\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03bc\u03b5\u03b3\u03ac\u03bb\u03b1 \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03bc\u03b1\u03ba\u03c1\u03bf\u03c7\u03c1\u03cc\u03bd\u03b9\u03b5\u03c2 \u03c3\u03c5\u03bd\u03bf\u03bc\u03b9\u03bb\u03af\u03b5\u03c2, adversarial inputs, \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac permissions \u03ae agents \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<\/aside>\n<h2 id=\"latency-parametroi\">Latency \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf\u03b9<\/h2>\n<p>\u03a4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b4\u03b9\u03b1\u03cd\u03bb\u03bf\u03c5. \u03a3\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 45 cells, \u03bf XKV translator \u03b5\u03af\u03c7\u03b5 \u03bc\u03ad\u03c3\u03bf \u03c7\u03c1\u03cc\u03bd\u03bf 5,8 ms, \u03b5\u03bd\u03ce \u03bf LCF-X fusor 59,9 ms: \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac 10,3\u00d7. \u03a4\u03bf \u03bc\u03ad\u03c3\u03bf end-to-end latency \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 227,9 ms \u03c3\u03b5 167,6 ms, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03ba\u03b1\u03c4\u03ac 26,4%. \u03a3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 text-to-text, \u03c4\u03bf XKV \u03ae\u03c4\u03b1\u03bd 6,8\u00d7 \u03c4\u03b1\u03c7\u03cd\u03c4\u03b5\u03c1\u03bf end to end, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03b1\u03c0\u03ad\u03c6\u03b5\u03c5\u03b3\u03b5 \u03c4\u03b7\u03bd autoregressive \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03bf\u03c5 \u03bc\u03b7\u03bd\u03cd\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">XKV \u03c3\u03c4\u03b1 45 dataset\u2013model-pair cells<\/p>\n<p class=\"td-chart-subtitle\">\u039c\u03ad\u03c3\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf A100 setup\u00b7 \u03c4\u03bf macro score \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 F1 \u03b3\u03b9\u03b1 generative QA \u03ba\u03b1\u03b9 accuracy \u03b3\u03b9\u03b1 classification.<\/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\">52,37<\/span><span class=\"td-metric-label\">Macro native score<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">5,8 ms<\/span><span class=\"td-metric-label\">Translator latency<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">167,6 ms<\/span><span class=\"td-metric-label\">End-to-end latency<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">4,55 \u03b5\u03ba\u03b1\u03c4.<\/span><span class=\"td-metric-label\">Trainable parameters<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae. \u03a4\u03bf direct pooling \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03b6\u03b5\u03b9 \u03c4\u03b9\u03c2 positions \u03c3\u03b5 \u03bb\u03af\u03b3\u03b1 slots \u03bc\u03b5 \u03bc\u03af\u03b1 vectorized \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1, \u03b5\u03bd\u03ce \u03c4\u03bf span pooling \u03c4\u03bf\u03c5 LCF-X \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03bf\u03cd \u03bc\u03ae\u03ba\u03bf\u03c5\u03c2 spans \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf context. \u03a3\u03c4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1, \u03bf translator \u03c4\u03bf\u03c5 XKV \u03ba\u03b9\u03bd\u03bf\u03cd\u03bd\u03c4\u03b1\u03bd \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03c3\u03c4\u03b1 5\u201310 ms \u03ba\u03b1\u03b9 \u03bf LCF-X fusor \u03b1\u03c0\u03cc 31 \u03ad\u03c9\u03c2 123 ms.<\/p>\n<p>\u03a4\u03bf XKV \u03b5\u03af\u03c7\u03b5 4,55 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03b1 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b9\u03bc\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 19,03 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03c5\u03c1\u03af\u03c9\u03bd \u03b3\u03b9\u03b1 \u03c4\u03bf LCF-X, \u03bc\u03b5\u03af\u03c9\u03c3\u03b7 76,1%. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf multi-agent \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03ae \u03c6\u03b8\u03b7\u03bd\u03cc: \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf frozen \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd prefill \u03ba\u03b1\u03b9 \u03bf Receiver \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 decoding \u03c4\u03b7\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2.<\/p>\n<h2 id=\"ablations\">\u03a4\u03b9 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c4\u03b1 ablations<\/h2>\n<p>\u03a4\u03b1 ablations \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd QASC, ROPES \u03ba\u03b1\u03b9 StrategyQA \u03c3\u03b5 27 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 cells. \u0397 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 receiver pooling, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03bd\u03b1 \u03c7\u03c4\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd Sharer, \u03bc\u03b5\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ba\u03b1\u03c4\u03ac 0,46 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03be\u03bf\u03b9\u03ba\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b5 1,1 ms. \u0391\u03c5\u03c4\u03cc \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03bf \u00ab\u03c4\u03b9 \u03b8\u03b1 \u03c3\u03c4\u03b1\u03bb\u03b5\u03af\u00bb \u03c9\u03c6\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c5\u03c0\u03cc\u03c8\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf state \u03c4\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bb\u03ae\u03c0\u03c4\u03b7.<\/p>\n<p>\u0397 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 position-specific receiver cross-attention \u03b5\u03af\u03c7\u03b5 \u03bc\u03ad\u03c3\u03b7 \u03c0\u03c4\u03ce\u03c3\u03b7 0,83 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03c4\u03ce\u03c3\u03b7 1,98 \u03c3\u03c4\u03bf QASC. \u0397 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 direct pooling \u03bc\u03b5 \u03c4\u03bf span pooling \u03c4\u03bf\u03c5 LCF-X \u03b1\u03cd\u03be\u03b7\u03c3\u03b5 \u03c4\u03bf component latency \u03b1\u03c0\u03cc 5,8 \u03c3\u03b5 39,1 ms \u03ba\u03b1\u03b9 \u03bc\u03b5\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ba\u03b1\u03c4\u03ac 0,94. \u039f\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03b1\u03c0\u03bf\u03bc\u03cc\u03bd\u03c9\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03ba\u03ac\u03b8\u03b5 \u03b1\u03b9\u03c4\u03b9\u03ce\u03b4\u03b7 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b5\u03b9\u03c3\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd.<\/p>\n<p>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/aces-ai-skill-evaluation-skill-lift\/\">paired evaluation \u03b5\u03bd\u03cc\u03c2 AI skill<\/a>: \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bc\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf, \u03ba\u03c1\u03b1\u03c4\u03ac\u03bc\u03b5 \u03c4\u03bf baseline \u03bf\u03c1\u03b1\u03c4\u03cc \u03ba\u03b1\u03b9 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bc\u03b5 \u03bc\u03b1\u03b6\u03af \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, latency \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7\u03c2.<\/p>\n<h2 id=\"enterprise-architektoniki\">\u03a4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 enterprise AI<\/h2>\n<p>\u03a4\u03bf XKV \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03b3\u03b9\u03b1 workloads \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ae\u03b4\u03b7 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b7 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf text decoding \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc bottleneck. \u0388\u03bd\u03b1\u03c2 research agent \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03ac \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 latent state \u03c3\u03b5 verifier, \u03ae \u03ad\u03bd\u03b1\u03c2 agent \u03bc\u03b5 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1 \u03bd\u03b1 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03ae\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd Receiver \u03c7\u03c9\u03c1\u03af\u03c2 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03bf memo.<\/p>\n<p>\u0397 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03b5 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae inference \u03c0\u03b1\u03c1\u03ac \u03c3\u03b5 prompt engineering. \u0391\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 caches, \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ce\u03bd interfaces, pair-specific \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 model version \u03ae cache geometry. \u0397 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03b1\u03c0\u03cc <a href=\"https:\/\/twodots.gr\/fl-maestro-multi-agent-federated-learning\/\">multi-agent orchestration \u03c3\u03b5 federated learning<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae: \u03bf learned \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 deterministic validation \u03ba\u03b1\u03b9 resource controls \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c1\u03cc\u03bb\u03bf.<\/p>\n<p>\u0393\u03b9\u03b1 marketing \u03ae e-commerce \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2, \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf plug-in. \u03a0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd: \u03b4\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 model-to-model handoff \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03c6\u03c5\u03c3\u03b9\u03ba\u03bf\u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03cc \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1, \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03cc\u03c4\u03b1\u03bd \u03bf \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf\u03c2. \u0391\u03c0\u03cc \u03c4\u03b7\u03bd \u03ac\u03bb\u03bb\u03b7, \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03b5\u03b9 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7, \u03c0\u03b1\u03c1\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03b1, campaign budget \u03ae \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03cc \u03b1\u03c1\u03c7\u03b5\u03af\u03bf, \u03c4\u03bf \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03bf trace \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7.<\/p>\n<h2 id=\"auditability-asfaleia\">Auditability, \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 fallback<\/h2>\n<p>\u0397 latent \u03bc\u03bd\u03ae\u03bc\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03bf \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1. \u0391\u03c5\u03c4\u03cc \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03b5\u03b9 debugging, attribution \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7\u03c2 \u03bc\u03b9\u03b1\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2. \u0397 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc downstream answers, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b5\u03c0\u03b9\u03b8\u03b5\u03ce\u03c1\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b5\u03c7\u03bf\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b8\u03b7\u03ba\u03b5 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 caches.<\/p>\n<p>\u0388\u03bd\u03b1 production design \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 policy \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c0\u03bf\u03b9\u03bf context \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9, tests \u03b3\u03b9\u03b1 data leakage \u03ba\u03b1\u03b9 isolation, versioning \u03c4\u03bf\u03c5 translator, monitoring \u03b1\u03bd\u03ac model pair \u03ba\u03b1\u03b9 fallback \u03c3\u03b5 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03b7 text \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1. \u0397 <a href=\"https:\/\/twodots.gr\/agentic-ai-security-stack-controls-technologikes-ependyseis\/\">\u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03b5\u03bd\u03cc\u03c2 agentic AI stack<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03cc\u03c3\u03bf \u03c4\u03b1 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b1 states, \u03c4\u03b1 logs \u03ba\u03b1\u03b9 \u03c4\u03bf retention \u03c4\u03bf\u03c5\u03c2.<\/p>\n<p>\u03a4\u03bf fallback \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2. \u0395\u03af\u03bd\u03b1\u03b9 \u03bf \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03bf\u03c0\u03bf\u03af\u03bf \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bb\u03b5\u03af\u03c0\u03b5\u03b9 cache access, \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf model pair, \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 distribution shift \u03ae \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03c4\u03b7 <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">\u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03c4\u03c9\u03bd AI agents<\/a>: \u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b1\u03bd \u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c0\u03b1\u03c1\u03b1\u03ba\u03ac\u03bc\u03c0\u03c4\u03b5\u03b9 permissions, verification \u03ae human handoff.<\/p>\n<h2 id=\"pilot-axiologisis\">\u0388\u03bd\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc pilot \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/h2>\n<p>\u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03bd\u03b1 \u03b2\u03c1\u03b5\u03b9 handoffs \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf text decoding \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf bottleneck \u03ba\u03b1\u03b9 \u03cc\u03c0\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ac \u03bd\u03b1 \u03b5\u03ba\u03b8\u03ad\u03c3\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b5\u03c2 caches. \u0388\u03c0\u03b5\u03b9\u03c4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 paired benchmark \u03bc\u03b5 \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 tasks, \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 ordered model pairs, \u03af\u03b4\u03b9\u03bf hardware \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2 text-to-text baseline.<\/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 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 XKV pilot<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf cross-context handoff<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03bf Sharer, \u03c4\u03b9 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03bf Receiver \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 context \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf text baseline<\/strong>\n<p>\u03a3\u03c5\u03bb\u03bb\u03ad\u03be\u03c4\u03b5 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2, p50 \u03ba\u03b1\u03b9 p95 latency, tokens, prefill, decoding \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workload.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf model pair<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03ba\u03c1\u03b9\u03b2\u03b5\u03af\u03c2 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 Sharer \u03ba\u03b1\u03b9 Receiver, tokenizer, layer count \u03ba\u03b1\u03b9 KV geometry \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf learned bridge \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ce\u03b3\u03b9\u03bc\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03c4\u03b5 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd translator<\/strong>\n<p>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b1 base models frozen, \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 training \u03ba\u03b1\u03b9 evaluation evidence \u03ba\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 version, data lineage \u03ba\u03b1\u03b9 configuration.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 leakage \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b5\u03c2<\/strong>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03bc\u03b7 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf context, missing evidence, adversarial inputs, stale caches \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 model version \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u0394\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03bf observability<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 input provenance, output, latency, model pair, translator version \u03ba\u03b1\u03b9 \u03bb\u03cc\u03b3\u03bf fallback \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b5\u03ba\u03b8\u03ad\u03c4\u03b5\u03c4\u03b5 \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03b1 states.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 7<\/span><strong>\u0392\u03ac\u03bb\u03c4\u03b5 text \u03ba\u03b1\u03b9 human fallback<\/strong>\n<p>\u0395\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b7 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7 \u03ae \u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b4\u03b5\u03bd \u03b5\u03c0\u03b1\u03c1\u03ba\u03bf\u03cd\u03bd.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0393\u03b9\u03b1 workflows \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac \u03ad\u03b3\u03b3\u03c1\u03b1\u03c6\u03b1, \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/generative-question-answering-llm-etairika-eggrafa\/\">generative question answering \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2<\/a> \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03b3\u03b9\u03b1 permissions, provenance \u03ba\u03b1\u03b9 human review. \u03a4\u03bf latent channel \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c7\u03c1\u03cc\u03bd\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03c4\u03b1 \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc\u03c2 \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7\u03c2.<\/p>\n<h2 id=\"ti-kratame\">\u03a4\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ac\u03bc\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf XKV<\/h2>\n<p>\u03a4\u03bf XKV \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae LLMs \u03b4\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03bd\u03ac \u03b1\u03c0\u03cc \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1. \u039c\u03b5 joint pooling \u03c4\u03c9\u03bd \u03b4\u03cd\u03bf caches, \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7 layers \u03ba\u03b1\u03b9 position-specific residual updates, \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03cd \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf communication latency \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b4\u03cd\u03bf baselines \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc setup.<\/p>\n<p>\u03a4\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03ba\u03b1\u03c4\u03b1\u03c1\u03b3\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b1 \u03bc\u03b7\u03bd\u03cd\u03bc\u03b1\u03c4\u03b1\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b1 machine-to-machine handoffs \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1\u03c7\u03cd\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03cc\u03c0\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 auditability, \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7. \u0397 <a href=\"https:\/\/twodots.gr\/consilience-ai-agent-communication-control\/\">\u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 AI agents<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03b4\u03af\u03b1\u03c5\u03bb\u03bf\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03b1\u03cc\u03c1\u03b1\u03c4\u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1.<\/p>\n<p>The <a href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">TWO DOTS \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a> \u03bc\u03b5 \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7 \u03c1\u03bf\u03ae\u03c2, permissions, baselines, error handling, monitoring \u03ba\u03b1\u03b9 human handoff \u03c0\u03c1\u03b9\u03bd \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 CRM, e-shop, ERP, email \u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf paper \u03c3\u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf pilot<\/p>\n<p class=\"td-service-cta-title\">\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf handoff \u03c4\u03c9\u03bd AI agents \u03c0\u03c1\u03b9\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03c4\u03b5 \u03c4\u03bf\u03bd \u03b4\u03af\u03b1\u03c5\u03bb\u03bf \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af cross-context \u03c1\u03bf\u03ad\u03c2, text baselines, model pairs, permissions, observability \u03ba\u03b1\u03b9 fallback \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 AI workflow \u03bd\u03b1 \u03ba\u03c1\u03b9\u03b8\u03b5\u03af \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c3\u03b1\u03c2 latency, \u03c3\u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03c1\u03af\u03c3\u03ba\u03bf.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c5\u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf AI workflow \u03c3\u03b1\u03c2<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf XKV;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf XKV \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b9\u03bc\u03bf\u03c2 translator \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b9\u03c2 KV caches \u03b4\u03cd\u03bf frozen language models \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03ae latent \u03bc\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 residual updates \u03c3\u03c4\u03bf native cache format \u03c4\u03bf\u03c5 Receiver.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03af\u03b4\u03b9\u03bf tokenizer \u03ae \u03af\u03b4\u03b9\u03bf \u03b2\u03ac\u03b8\u03bf\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b3\u03b9\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c3\u03b5 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1, \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc layers, KV heads, head dimension \u03ba\u03b1\u03b9 tokenizer, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ce\u03bd\u03c4\u03b1\u03c2 learned \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf\u03bd Receiver.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf XKV \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1\u03c7\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0391\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03c4\u03bf autoregressive decoding \u03c4\u03bf\u03c5 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03bf\u03c5 \u03bc\u03b7\u03bd\u03cd\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b1\u03bd\u03b5\u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03ae \u03c4\u03bf\u03c5. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ae\u03c4\u03b1\u03bd 6,8\u00d7 \u03c4\u03b1\u03c7\u03cd\u03c4\u03b5\u03c1\u03bf end to end \u03b1\u03c0\u03cc \u03c4\u03bf text-to-text baseline.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c3\u03bf \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03bf\u03c2 \u03ae\u03c4\u03b1\u03bd \u03bf translator;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039f \u03bc\u03ad\u03c3\u03bf\u03c2 \u03c7\u03c1\u03cc\u03bd\u03bf\u03c2 \u03ae\u03c4\u03b1\u03bd 5,8 ms \u03c3\u03c4\u03b1 45 dataset\u2013model-pair cells, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 59,9 ms \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd LCF-X fusor. \u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf A100 setup \u03ba\u03b1\u03b9 \u03bc\u03af\u03b1 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039a\u03ad\u03c1\u03b4\u03b9\u03c3\u03b5 \u03c4\u03bf XKV \u03c3\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 datasets;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039e\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03c4\u03bf LCF-X \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 datasets \u03ba\u03b1\u03b9 \u03c4\u03bf text-to-text \u03c3\u03c4\u03b1 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5. \u03a3\u03c4\u03bf QASC \u03c4\u03bf text baseline \u03ae\u03c4\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03ba\u03b1\u03c4\u03ac 0,27 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03bc\u03b5 \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03ac LLM APIs;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf API \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b4\u03af\u03bd\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b5\u03c2 KV caches \u03ae \u03c3\u03b5 \u03b9\u03c3\u03bf\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc state. \u03a4\u03bf XKV \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 prompt-layer \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc\u03c2 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2 \u03c4\u03b7\u03c2 latent \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf \u03bc\u03b5\u03c4\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03bf state \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c3\u03b9\u03bc\u03bf, \u03ac\u03c1\u03b1 debugging, provenance, data isolation \u03ba\u03b1\u03b9 compliance \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc observability layer \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 fallback \u03c3\u03b5 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ae \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf XKV \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03b3\u03b9\u03b1 enterprise \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ac open models \u03ba\u03b1\u03b9 split-evidence QA. \u03a0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af pair-specific \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, versioning, \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 benchmarks, security tests, monitoring \u03ba\u03b1\u03b9 human-readable fallback.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20617\" target=\"_blank\" rel=\"noopener\">Liu et al. \u2014 Dual-Cache Latent Space Communication between Heterogeneous Language Models, arXiv v1<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/html\/2608.20617\" target=\"_blank\" rel=\"noopener\">Liu et al. \u2014 \u03a0\u03bb\u03ae\u03c1\u03b5\u03c2 HTML paper \u03bc\u03b5 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf, \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2, ablations \u03ba\u03b1\u03b9 technical appendix<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2605.22863\" target=\"_blank\" rel=\"noopener\">Rossi et al. \u2014 Latent Cache Flow: Model-to-Model Communication without Text<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2601.06123\" target=\"_blank\" rel=\"noopener\">Fu et al. \u2014 Latent Space Communication via K-V Cache Alignment<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI Risk Management Framework \u03b3\u03b9\u03b1 governance, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf XKV \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b3\u03bd\u03ce\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 AI agents \u03bc\u03ad\u03c3\u03c9 KV caches, \u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03c2 latency \u03c7\u03c9\u03c1\u03af\u03c2 \u03ba\u03bf\u03b9\u03bd\u03cc tokenizer. \u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1, \u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2 \u03b3\u03b9\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 pilot.<\/p>","protected":false},"author":1,"featured_media":97184,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[6506,20246,20247,20245,20244],"class_list":["post-96262","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-agents","tag-kv-cache","tag-latent-communication","tag-multi-agent-llm","tag-xkv"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/96262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=96262"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/96262\/revisions"}],"predecessor-version":[{"id":97185,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/96262\/revisions\/97185"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/97184"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=96262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=96262"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=96262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}