{"id":115643,"date":"2024-05-09T01:52:05","date_gmt":"2024-05-08T23:52:06","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/red-hat-predstavil-distributiv-rhel-ai-i-rezhim-sborki-rhel-na-baze-ostree-i-bootc"},"modified":"2024-05-09T01:52:05","modified_gmt":"2024-05-08T23:52:06","slug":"red-hat-predstavil-distributiv-rhel-ai-i-rezhim-sborki-rhel-na-baze-ostree-i-bootc","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/red-hat-predstavil-distributiv-rhel-ai-i-rezhim-sborki-rhel-na-baze-ostree-i-bootc","title":{"rendered":"Red Hat prezantoi distribucionin RHEL AI dhe modalitetin e nd\u00ebrtimit RHEL t\u00eb bazuar n\u00eb OSTree dhe bootc","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Compania Red Hat prezantoi distribucionin Red Hat Enterprise Linux AI (RHEL AI), i cili \u00ebsht\u00eb ve\u00e7an\u00ebrisht i p\u00ebrshtatur p\u00ebr realizimin e detyrave t\u00eb m\u00ebsimit t\u00eb makinave dhe ka p\u00ebr q\u00ebllim t\u00eb thjeshtoj\u00eb krijimin e zgjidhjeve serverike q\u00eb p\u00ebrdorin modele t\u00eb m\u00ebdha dialogu. Ai p\u00ebrfshin nj\u00eb grup mjetesh dhe kuadrash p\u00ebr m\u00ebsimin e makinave, si dhe shofer\u00eb p\u00ebr p\u00ebrdorimin e p\u00ebrshpejtuesve harduerik\u00eb t\u00eb ndrysh\u00ebm nga AMD, Intel dhe NVIDIA, si dhe komponente p\u00ebr t\u00eb shfryt\u00ebzuar kapacitetet e server\u00ebve Dell, Cisco, HPE, Lenovo dhe SuperMicro, t\u00eb optimizuar p\u00ebr sisteme AI. <\/p>\n

RHEL AI \u00ebsht\u00eb krijuar p\u00ebr zhvillimin, testimin dhe ekzekutimin e sistemeve t\u00eb m\u00ebsimit t\u00eb makinave t\u00eb bazuara n\u00eb modelin e madh gjuh\u00ebsor Granite, i hapur nga kompania IBM n\u00ebn licenc\u00ebn Apache 2.0, i cili \u00ebsht\u00eb i aft\u00eb t\u00eb marr\u00eb parasysh deri n\u00eb 4,000 token\u00eb gjat\u00eb gjenerimit t\u00eb tekstit dhe p\u00ebrfshin 7 miliard\u00eb parametra. P\u00ebr nd\u00ebrveprimin me modelin Granite, distribucioni p\u00ebrmban nj\u00eb mjet t\u00eb hapur InstructLab, i cili mb\u00ebshtet metodologjin\u00eb LAB (Large-scale Alignment for chatBots) p\u00ebr p\u00ebrshtatjen e nevojave dhe optimizimin e modeleve, si dhe p\u00ebr shtimin e njohurive shtes\u00eb dhe realizimin e aft\u00ebsive t\u00eb reja n\u00eb modelet e trajnuara paraprakisht. <\/p>\n

Platforma mund t\u00eb p\u00ebrdoret p\u00ebr zhvillimin e aplikacioneve AI p\u00ebr nevojat e korporatave dhe p\u00ebr implementimin e sh\u00ebrbimeve p\u00ebr gjenerimin e p\u00ebrmbajtjes, krijimin e sistemeve dialoguese dhe integrimin n\u00eb aplikacionet e asistenteve virtual\u00eb, t\u00eb cilat mb\u00ebshtesin aft\u00ebsi si p\u00ebrgjigja n\u00eb pyetje n\u00eb nj\u00eb gjuh\u00eb natyrale, zgjidhja e problemeve matematikore, gjenerimi i tekstit t\u00eb kuptuesh\u00ebm mbi nj\u00eb tem\u00eb t\u00eb caktuar, p\u00ebrpilimi i nj\u00eb p\u00ebrmbledhjeje t\u00eb p\u00ebrmbajtjes, korrigjimi i gabimeve n\u00eb tekst, realizimi i rishkrimit me fjal\u00eb t\u00eb tjera, ndihma n\u00eb shkrimin e kodit n\u00eb gjuh\u00eb t\u00eb ndryshme programimi, dhe formimi i letrave dhe dokumenteve sipas modelit.

\"Red<\/center> <\/p>\n

P\u00ebr m\u00eb tep\u00ebr, kompania Red Hat prezantoi nj\u00eb mod t\u00eb ri p\u00ebr krijimin dhe menaxhimin e imazheve sistemore t\u00eb bazuara n\u00eb Red Hat Enterprise Linux \u2014 \u00abimage mode\u00bb, i cili lejon p\u00ebrdorimin e mjeteve dhe teknologjive q\u00eb p\u00ebrdoren p\u00ebr krijimin dhe ekzekutimin e kontejner\u00ebve t\u00eb aplikacioneve p\u00ebr shp\u00ebrndarjen e sistemit operativ. Ky mod manipulon imazhet monolite sistemore, t\u00eb formuara me mjete rpm-ostree dhe t\u00eb p\u00ebrdit\u00ebsuara n\u00eb m\u00ebnyr\u00eb atomike pa u ndar\u00eb n\u00eb paketa t\u00eb ve\u00e7anta. <\/p>\n

Grupet mund t\u00eb formohen si imazhe n\u00eb formate OCI (si n\u00eb Docker), ISO, QCOW2, AMI, VMI dhe VMDK. P\u00ebrmbajtja e imazhit zgjidhet p\u00ebrmes redaktimit t\u00eb skedarit Containerfile. P\u00ebr krijimin dhe menaxhimin e imazheve mund t\u00eb p\u00ebrdoren mjete standarde p\u00ebr menaxhimin e konteiner\u00ebve, si\u00e7 jan\u00eb Podman dhe OpenShift Container Platform. P\u00ebr instalimin e imazheve mund t\u00eb p\u00ebrdoret si instaluesi standard Anaconda, ashtu edhe instrumentos bootc-image-builder, q\u00eb lejon konvertimin e imazhit t\u00eb konteinerit n\u00eb nj\u00eb imazh diskun p\u00ebr t'u ngarkuar. P\u00ebr p\u00ebrdit\u00ebsimin e imazheve t\u00eb ngarkes\u00ebs s\u00eb konteiner\u00ebve, q\u00eb vijn\u00eb me b\u00ebrthama Linux dhe jan\u00eb t\u00eb afta p\u00ebr t'u ngarkuar n\u00eb m\u00ebnyr\u00eb t\u00eb ngjashme me grupet normale t\u00eb sistemit, p\u00ebrdoret instrumenti bootc.
\n
Burimi: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Red Hat \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0434\u0438\u0441\u0442\u0440\u0438\u0431\u0443\u0442\u0438\u0432 Red Hat Enterprise Linux AI (RHEL AI), \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u043d \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 \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 \u0434\u0438\u0430\u043b\u043e\u0433\u043e\u0432\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438. \u0412 \u0441\u043e\u0441\u0442\u0430\u0432 \u0432\u0445\u043e\u0434\u0438\u0442 \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, \u0430 \u0442\u0430\u043a\u0436\u0435 \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 NVIDIA, \u0438 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u044b \u0434\u043b\u044f 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