{"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\/pt\/blog\/news\/red-hat-opublikoval-pervyj-vypusk-distributiva-red-hat-enterprise-linux-ai","title":{"rendered":"A Red Hat publicou o primeiro lan\u00e7amento da distribui\u00e7\u00e3o Red Hat Enterprise Linux AI","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>A empresa Red Hat anunciou a disponibilidade da nova edi\u00e7\u00e3o da distribui\u00e7\u00e3o RHEL \u2014 Red Hat Enterprise Linux AI (RHEL AI), especialmente adaptada para tarefas de aprendizado de m\u00e1quina e destinada a simplificar a cria\u00e7\u00e3o de solu\u00e7\u00f5es em servidores que utilizam grandes modelos lingu\u00edsticos.     <\/p>\n<p>A distribui\u00e7\u00e3o inclui um conjunto de ferramentas e frameworks para aprendizado de m\u00e1quina, drivers para uso de diversos aceleradores de hardware da AMD, Intel e NVIDIA, e componentes para aproveitar as capacidades de servidores Dell, Cisco, HPE, Lenovo e SuperMicro, otimizados para sistemas de IA. As compila\u00e7\u00f5es s\u00e3o distribu\u00eddas pelo Red Hat Customer Portal em vers\u00f5es para instala\u00e7\u00e3o direta em servidores e para implanta\u00e7\u00e3o em sistemas de nuvem AWS e IBM Cloud.    <\/p>\n<p>A plataforma pode ser aplicada no desenvolvimento de aplicativos corporativos de IA, implementa\u00e7\u00e3o de servi\u00e7os de gera\u00e7\u00e3o de conte\u00fado, cria\u00e7\u00e3o de sistemas de di\u00e1logo e integra\u00e7\u00e3o em aplicativos de assistentes virtuais que suportam habilidades como responder a perguntas em linguagem natural, resolver problemas matem\u00e1ticos, gerar textos significativos sobre um tema espec\u00edfico, elaborar resumos de conte\u00fado, corrigir erros em textos, realizar reescritas ou ajudar na reda\u00e7\u00e3o de c\u00f3digo em diversas linguagens de programa\u00e7\u00e3o, al\u00e9m de criar cartas e documentos por meio de templates.       <\/p>\n<p>O RHEL AI integra componentes para cria\u00e7\u00e3o, teste e execu\u00e7\u00e3o de sistemas de aprendizado de m\u00e1quina baseados no grande modelo de linguagem Granite, disponibilizado pela IBM sob a licen\u00e7a Apache 2.0, capaz de considerar at\u00e9 4 mil tokens na gera\u00e7\u00e3o de texto e abrangendo 7 bilh\u00f5es de par\u00e2metros. Para interagir com o modelo Granite, a distribui\u00e7\u00e3o incorpora a ferramenta aberta InstructLab, que suporta a metodologia LAB (Large-scale Alignment for chatBots) para adapta\u00e7\u00e3o a necessidades espec\u00edficas e otimiza\u00e7\u00e3o de modelos, bem como para adicionar conhecimentos adicionais e implementar novas habilidades em modelos previamente treinados.<br \/>\n<br \/>Fonte: <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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