{"id":119731,"date":"2024-09-07T21:43:07","date_gmt":"2024-09-07T19:43:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/red-hat-opublikoval-pervyj-vypusk-distributiva-red-hat-enterprise-linux-ai"},"modified":"2024-09-07T21:43:07","modified_gmt":"2024-09-07T19:43:07","slug":"red-hat-opublikoval-pervyj-vypusk-distributiva-red-hat-enterprise-linux-ai","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/red-hat-opublikoval-pervyj-vypusk-distributiva-red-hat-enterprise-linux-ai","title":{"rendered":"A Red Hat k\u00f6zz\u00e9tette a Red Hat Enterprise Linux AI disztrib\u00faci\u00f3 els\u0151 kiad\u00e1s\u00e1t","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>A Red Hat bejelentette az \u00faj RHEL disztrib\u00faci\u00f3, a Red Hat Enterprise Linux AI (RHEL AI) el\u00e9rhet\u0151s\u00e9g\u00e9t, amely kifejezetten a g\u00e9pi tanul\u00e1si feladatok v\u00e9grehajt\u00e1s\u00e1ra k\u00e9sz\u00fclt, \u00e9s c\u00e9lja a nagy nyelvi modelleket haszn\u00e1l\u00f3 szervermegold\u00e1sok l\u00e9trehoz\u00e1s\u00e1nak egyszer\u0171s\u00edt\u00e9se.     <\/p>\n<p>A disztrib\u00faci\u00f3 tartalmaz egy sor g\u00e9pi tanul\u00e1si eszk\u00f6zt \u00e9s keretrendszert, vez\u00e9rl\u0151programokat AMD, Intel \u00e9s NVIDIA hardveres gyors\u00edt\u00f3k haszn\u00e1lat\u00e1hoz, valamint olyan komponenseket, amelyek lehet\u0151v\u00e9 teszik a Dell, Cisco, HPE, Lenovo \u00e9s SuperMicro szerverek AI-rendszerekhez val\u00f3 optimaliz\u00e1l\u00e1s\u00e1t. Az \u00f6ssze\u00e1ll\u00edt\u00e1sok a Red Hat Customer Portal-on kereszt\u00fcl \u00e9rhet\u0151k el, k\u00f6zvetlen telep\u00edt\u00e9sre a szerverekre \u00e9s felh\u0151rendszerek, p\u00e9ld\u00e1ul AWS \u00e9s IBM Cloud telep\u00edt\u00e9s\u00e9re.    <\/p>\n<p>A platform v\u00e1llalati AI-alkalmaz\u00e1sok fejleszt\u00e9s\u00e9re, tartalomgener\u00e1l\u00f3 szolg\u00e1ltat\u00e1sok bevezet\u00e9s\u00e9re, p\u00e1rbesz\u00e9dszervez\u0151 rendszerek l\u00e9trehoz\u00e1s\u00e1ra, valamint olyan virtu\u00e1lis asszisztensek alkalmaz\u00e1saiba val\u00f3 integr\u00e1l\u00e1s\u00e1ra haszn\u00e1lhat\u00f3, amelyek t\u00e1mogatj\u00e1k az olyan k\u00e9pess\u00e9geket, mint a term\u00e9szetes nyelvre val\u00f3 v\u00e1laszad\u00e1s, matematikai feladatok megold\u00e1sa, \u00e9rtelmes sz\u00f6veg gener\u00e1l\u00e1sa adott t\u00e9m\u00e1ban, tartalom \u00f6sszefoglal\u00e1sa, sz\u00f6vegbeli hib\u00e1k jav\u00edt\u00e1sa, \u00e1tfogalmaz\u00e1s k\u00fcl\u00f6nb\u00f6z\u0151 szavakkal, valamint t\u00e1mogat\u00e1s ny\u00fajt\u00e1sa k\u00fcl\u00f6nf\u00e9le programoz\u00e1si nyelveken t\u00f6rt\u00e9n\u0151 k\u00f3d\u00edr\u00e1sban, levelek \u00e9s dokumentumok sablonon alapul\u00f3 l\u00e9trehoz\u00e1s\u00e1ban.       <\/p>\n<p>A RHEL AI-ba be\u00e9p\u00edtett komponensek lehet\u0151v\u00e9 teszik g\u00e9pi tanul\u00e1si rendszerek l\u00e9trehoz\u00e1s\u00e1t, tesztel\u00e9s\u00e9t \u00e9s v\u00e9grehajt\u00e1s\u00e1t a Granite nagy nyelvi modellel, amelyet az IBM nyitott forr\u00e1sk\u00f3d\u00fav\u00e1 tett az Apache 2.0 licenc alatt, k\u00e9pes figyelembe venni a gener\u00e1l\u00e1skor ak\u00e1r 4000 tokent \u00e9s 7 milli\u00e1rd param\u00e9tert fel\u00f6lelni. A Granite modellel val\u00f3 interakci\u00f3hoz a disztrib\u00faci\u00f3ban integr\u00e1lt ny\u00edlt eszk\u00f6zk\u00e9szlet, az InstructLab tal\u00e1lhat\u00f3, amely t\u00e1mogatja a LAB (Large-scale Alignment for chatBots) m\u00f3dszertan\u00e1t, amely lehet\u0151v\u00e9 teszi, hogy a felhaszn\u00e1l\u00f3k testreszabj\u00e1k \u00e9s optimaliz\u00e1lj\u00e1k a modelleket, valamint \u00faj tud\u00e1st \u00e9s k\u00e9szs\u00e9geket adjanak hozz\u00e1 az el\u0151k\u00e9pzett modellekhez.<br \/>\n<br \/>Forr\u00e1s: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=61822\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Red Hat \u043e\u0431\u044a\u044f\u0432\u0438\u043b\u0430 \u043e \u0433\u043e\u0442\u043e\u0432\u043d\u043e\u0441\u0442\u0438 \u043d\u043e\u0432\u043e\u0439 \u0440\u0435\u0434\u0430\u043a\u0446\u0438\u0438 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432\u0430 RHEL &#8212; Red Hat Enterprise Linux AI (RHEL AI), \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u043f\u0440\u0438\u0437\u0432\u0430\u043d\u043d\u043e\u0439 \u0443\u043f\u0440\u043e\u0441\u0442\u0438\u0442\u044c \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0441\u0435\u0440\u0432\u0435\u0440\u043d\u044b\u0445 \u0440\u0435\u0448\u0435\u043d\u0438\u0439, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0445 \u0431\u043e\u043b\u044c\u0448\u0438\u0435 \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438. \u0412 \u0441\u043e\u0441\u0442\u0430\u0432 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432\u0430 \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u0430 \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0430 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0438 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u043e\u0432 \u0434\u043b\u044f \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f, \u0434\u0440\u0430\u0439\u0432\u0435\u0440\u044b \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u044b\u0445 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0435\u0439 AMD, Intel \u0438 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-119731","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - 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