{"id":2039,"date":"2023-06-24T12:10:58","date_gmt":"2023-06-24T12:10:58","guid":{"rendered":"https:\/\/dailyai.com\/?p=2039"},"modified":"2023-06-24T13:04:21","modified_gmt":"2023-06-24T13:04:21","slug":"mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/","title":{"rendered":"MosaicML presenterar MPT-30B-familjen av AI-modeller med \u00f6ppen k\u00e4llkod"},"content":{"rendered":"

MosaicML har presenterat sina nya AI-modeller med \u00f6ppen k\u00e4llkod - MPT-30B Base, Instruct och Chat.\u00a0<\/strong><\/p>\n

Dessa modeller med \u00f6ppen k\u00e4llkod, som ing\u00e5r i MPT-serien (MosaicML Pre Trained Transformer), anses vara de mest sofistikerade i sin kategori och \u00f6vertr\u00e4ffar GPT-3 i de flesta viktiga m\u00e4tv\u00e4rden.\u00a0<\/span><\/p>\n

Mosaik<\/span><\/a> utbildade sina nya modeller med hj\u00e4lp av NVIDIAs senaste H100-chip, som sl\u00e4pptes tidigare i \u00e5r.\u00a0<\/span><\/p>\n

MPT-30B \u00e4r den f\u00f6rsta offentligt k\u00e4nda LLM som tr\u00e4nats p\u00e5 avancerade NVIDIA H100 GPU:er.\u00a0<\/span><\/p>\n

Sedan introduktionen den 5 maj 2023 har Mosaics tidigare MPT-7B-modeller (Base, Instruct, Chat, StoryWriter) laddats ner \u00f6ver 3,3 miljoner g\u00e5nger. MPT-30B har 30 miljarder parametrar - l\u00e5ngt f\u00e4rre \u00e4n GPT-3:s 175 miljarder parametrar eller GPT-4:s p\u00e5st\u00e5dda 1 biljon parametrar.\u00a0<\/span><\/p>\n

Men parameterantalet \u00e4r inte allt - l\u00e5ngt d\u00e4rifr\u00e5n - eftersom MPT-30B har tr\u00e4nats p\u00e5 l\u00e4ngre sekvenser med upp till 8.000 tokens, fyra g\u00e5nger mer \u00e4n GPT-3, LLaMA-familjen av modeller och Falcon-modellen.<\/span><\/p>\n

Detta g\u00f6r att MPT-30B b\u00e4ttre kan hantera datatunga arbetsfl\u00f6den i f\u00f6retag och \u00f6vertr\u00e4ffa andra modeller f\u00f6r kodtunga arbetsfl\u00f6den.<\/span><\/p>\n

Flera f\u00f6retag, till exempel Replit, ett ledande webbaserat IDE, och Scatter Lab, ett AI-startup, har redan anv\u00e4nt MPT:s modeller med \u00f6ppen k\u00e4llkod, som \u00e4r mer anpassningsbara \u00e4n propriet\u00e4ra modeller som GPT-3.\u00a0<\/span><\/p>\n

Ilan Twig, medgrundare och CTO p\u00e5 Navan, s\u00e4ger. \"P\u00e5 Navan anv\u00e4nder vi generativ AI i alla v\u00e5ra produkter och tj\u00e4nster, vilket driver upplevelser som v\u00e5r virtuella resebyr\u00e5 och v\u00e5r konversationsagent f\u00f6r aff\u00e4rsinformation. MosaicML:s grundmodeller erbjuder toppmoderna spr\u00e5kfunktioner samtidigt som de \u00e4r extremt effektiva f\u00f6r att finjustera och tj\u00e4na inferens i stor skala.\"\u00a0<\/span><\/p>\n

MPT-30B, nu tillg\u00e4nglig via HuggingFace Hub<\/span><\/a>\u00e4r helt \u00f6ppen k\u00e4llkod, och utvecklare kan finjustera den med sina data.\u00a0<\/span><\/p>\n

Mosaic syftar till att g\u00f6ra det m\u00f6jligt f\u00f6r f\u00f6retag att integrera kraftfulla modeller med \u00f6ppen k\u00e4llkod i sitt arbetsfl\u00f6de och samtidigt beh\u00e5lla datasuver\u00e4niteten.\u00a0<\/span><\/p>\n

F\u00f6rdelen med \u00f6ppen k\u00e4llkod<\/span><\/h2>\n

Modeller med \u00f6ppen k\u00e4llkod \u00e4r <\/span>snabbt \u00f6verbrygga klyftan<\/span><\/a> med konkurrenter som OpenAI.\u00a0<\/span><\/p>\n

Eftersom de dataresurser som kr\u00e4vs f\u00f6r att tr\u00e4na och distribuera modeller minskar, beh\u00f6ver utvecklare av \u00f6ppen k\u00e4llkod inte l\u00e4ngre superdatorer f\u00f6r flera miljoner dollar med hundratals avancerade processorer f\u00f6r att tr\u00e4na sina modeller.\u00a0<\/span><\/p>\n

Detsamma g\u00e4ller f\u00f6r drifts\u00e4ttning av modeller - MPT-30B kan k\u00f6ras p\u00e5 en enda GPU, och open source-gruppen lyckades till och med k\u00f6ra en bantad version av LLaMa-modellen p\u00e5 en Raspberry PI.<\/span><\/p>\n

\n

Jag har sucefully k\u00f6rt LLaMA 7B-modellen p\u00e5 min 4 GB RAM Raspberry Pi 4. Det \u00e4r super l\u00e5ngsamt cirka 10 sekunder \/ token. Men det ser ut som om vi kan k\u00f6ra kraftfulla kognitiva r\u00f6rledningar p\u00e5 en billig h\u00e5rdvara. pic.twitter.com\/XDbvM2U5GY<\/a><\/p>\n

- Artem Andreenko \ud83c\uddfa\ud83c\udde6 (@miolini) 12 mars 2023<\/a><\/p><\/blockquote>\n

Dessutom ger modeller med \u00f6ppen k\u00e4llkod strategiska f\u00f6rdelar f\u00f6r f\u00f6retagsanv\u00e4ndare. <\/span><\/p>\n

Exempelvis kan f\u00f6retag inom branscher som sjukv\u00e5rd och bankverksamhet f\u00f6redra att inte dela med sig av sina data till OpenAI eller Google.\u00a0<\/span><\/p>\n

Naveen Rao, medgrundare och VD f\u00f6r MosaicML, identifierar projekt med \u00f6ppen k\u00e4llkod som allierade och s\u00e4ger att de \"st\u00e4nger gapet till dessa modeller med sluten k\u00e4llkod\". \u00c4ven om han erk\u00e4nner att OpenAI:s GPT-4 \u00e4r \u00f6verl\u00e4gsen, menar han att modeller med \u00f6ppen k\u00e4llkod har \"passerat den tr\u00f6skel d\u00e4r dessa modeller faktiskt \u00e4r extremt anv\u00e4ndbara\".<\/span><\/p>\n

AI med \u00f6ppen k\u00e4llkod utvecklas snabbt, vilket f\u00e5r vissa att anklaga big tech f\u00f6r att driva p\u00e5 f\u00f6r reglering f\u00f6r att bromsa tillv\u00e4xten. F\u00f6retag bygger redan sina egna AI-stackar med \u00f6ppen k\u00e4llkod, vilket sparar pengar som annars skulle kunna finansiera f\u00f6retag som OpenAI.\u00a0<\/span><\/p>\n

A l\u00e4ckt memo fr\u00e5n en Google-anst\u00e4lld<\/a> sa att alla stora AI-utvecklare - Google, Microsoft, Anthropic och OpenAI - konkurrerar med utvecklare av \u00f6ppen k\u00e4llkod.\u00a0<\/span><\/p>\n

AI-utvecklare med \u00f6ppen k\u00e4llkod kan bygga och iterera modeller snabbare \u00e4n stora teknikf\u00f6retag, vilket g\u00f6r att de kan utman\u00f6vrera vanliga AI-modeller.<\/span><\/p>\n

Detta \u00e4r inte helt riskfritt, eftersom modeller med \u00f6ppen k\u00e4llkod \u00e4r sv\u00e5ra att \u00f6vervaka och reglera n\u00e4r de v\u00e4l har \u00f6verg\u00e5tt i offentlig \u00e4go.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

MosaicML har presenterat sina nya AI-modeller med \u00f6ppen k\u00e4llkod - MPT-30B Base, Instruct och Chat. Dessa modeller med \u00f6ppen k\u00e4llkod ing\u00e5r i MPT-serien (MosaicML Pre Trained Transformer) och anses vara de mest sofistikerade i sin kategori och \u00f6vertr\u00e4ffar GPT-3 i de flesta viktiga m\u00e4tv\u00e4rden. Mosaic tr\u00e4nade sina nya modeller med hj\u00e4lp av NVIDIAs senaste H100-chip, som sl\u00e4pptes tidigare i \u00e5r. MPT-30B \u00e4r den f\u00f6rsta offentligt k\u00e4nda LLM som tr\u00e4nats p\u00e5 avancerade NVIDIA H100 GPU:er. Sedan introduktionen den 5 maj 2023 har Mosaics tidigare MPT-7B-modeller (Base, Instruct, Chat, StoryWriter) laddats ner \u00f6ver 3,3 miljoner g\u00e5nger. MPT-30B har 30 miljarder parametrar - l\u00e5ngt f\u00e4rre \u00e4n GPT-3:s 175<\/p>","protected":false},"author":2,"featured_media":2040,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[83],"tags":[115,102,105,110],"class_list":["post-2039","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product","tag-chatgpt","tag-google","tag-machine-learning","tag-open-source"],"yoast_head":"\nMosaicML unveils the MPT-30B family of open-source AI models | DailyAI<\/title>\n<meta name=\"description\" content=\"MPT-30B Base, Instruct, and Chat.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/sv\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta 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