{"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\/da\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/","title":{"rendered":"MosaicML afsl\u00f8rer MPT-30B-familien af open source AI-modeller"},"content":{"rendered":"

MosaicML har afsl\u00f8ret deres nye open source AI-modeller - MPT-30B Base, Instruct og Chat.\u00a0<\/strong><\/p>\n

Disse open source-modeller er en del af MPT-serien (MosaicML Pre Trained Transformer) og anses for at v\u00e6re de mest sofistikerede i deres kategori og overg\u00e5r GPT-3 p\u00e5 de fleste vigtige parametre.\u00a0<\/span><\/p>\n

Mosaik<\/span><\/a> har tr\u00e6net deres nye modeller med NVIDIAs nyeste H100-chips, som blev lanceret tidligere i \u00e5r.\u00a0<\/span><\/p>\n

MPT-30B er den f\u00f8rste offentligt kendte LLM, der er tr\u00e6net p\u00e5 high-end NVIDIA H100 GPU'er.\u00a0<\/span><\/p>\n

Siden introduktionen den 5. maj 2023 er Mosaics tidligere MPT-7B-modeller (Base, Instruct, Chat, StoryWriter) blevet downloadet over 3,3 millioner gange. MPT-30B har 30 milliarder parametre - langt f\u00e6rre end GPT-3's 175 milliarder parametre eller GPT-4's p\u00e5st\u00e5ede 1 billion parametre.\u00a0<\/span><\/p>\n

Men antallet af parametre er ikke alt - langt fra - da MPT-30B er blevet tr\u00e6net p\u00e5 l\u00e6ngere sekvenser med op til 8.000 tokens, fire gange mere end GPT-3, LLaMA-familien af modeller og Falcon-modellen.<\/span><\/p>\n

Det g\u00f8r MPT-30B i stand til bedre at h\u00e5ndtere datatunge virksomhedsworkflows og udkonkurrere andre modeller til kodetunge workflows.<\/span><\/p>\n

Flere virksomheder, s\u00e5som Replit, et f\u00f8rende webbaseret IDE, og Scatter Lab, en AI-startup, har allerede udnyttet MPT's open source-modeller, som er mere tilpasselige end propriet\u00e6re modeller som GPT-3.\u00a0<\/span><\/p>\n

Ilan Twig, medstifter og CTO hos Navan, siger. \"Hos Navan bruger vi generativ AI p\u00e5 tv\u00e6rs af vores produkter og tjenester, der driver oplevelser som vores virtuelle rejsebureau og vores samtalebaserede business intelligence-agent. MosaicML's grundmodeller tilbyder state-of-the-art sprogfunktioner, samtidig med at de er ekstremt effektive til at finjustere og tjene inferens i stor skala.\"\u00a0<\/span><\/p>\n

MPT-30B, nu tilg\u00e6ngelig via HuggingFace Hub<\/span><\/a>er fuldt ud open source, og udviklere kan finjustere den med deres data.\u00a0<\/span><\/p>\n

Mosaic s\u00f8ger at g\u00f8re det muligt for virksomheder at integrere kraftfulde open source-modeller i deres arbejdsgange og samtidig bevare datasuver\u00e6niteten.\u00a0<\/span><\/p>\n

Open source-fordelen<\/span><\/h2>\n

Open source-modeller er <\/span>hurtigt at bygge bro over kl\u00f8ften<\/span><\/a> med konkurrenter som OpenAI.\u00a0<\/span><\/p>\n

Da de computerressourcer, der kr\u00e6ves for at tr\u00e6ne og implementere modeller, falder, beh\u00f8ver open source-udviklere ikke l\u00e6ngere supercomputere til flere millioner dollars med hundredvis af avancerede processorer for at tr\u00e6ne deres modeller.\u00a0<\/span><\/p>\n

Det samme g\u00e6lder for implementering af modeller - MPT-30B kan k\u00f8re p\u00e5 en enkelt GPU, og open source-f\u00e6llesskabet har endda form\u00e5et at k\u00f8re en slankere version af LLaMa-modellen p\u00e5 en Raspberry PI.<\/span><\/p>\n

\n

Jeg har k\u00f8rt LLaMA 7B-modellen p\u00e5 min Raspberry Pi 4 med 4 GB RAM. Det er super langsomt, ca. 10 sek\/token. Men det ser ud til, at vi kan k\u00f8re kraftige kognitive pipelines p\u00e5 en billig hardware. pic.twitter.com\/XDbvM2U5GY<\/a><\/p>\n

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

Derudover giver open source-modeller strategiske fordele til forretningsbrugere. <\/span><\/p>\n

For eksempel vil virksomheder i brancher som sundhedsv\u00e6sen og bankv\u00e6sen m\u00e5ske foretr\u00e6kke ikke at dele deres data med OpenAI eller Google.\u00a0<\/span><\/p>\n

Naveen Rao, medstifter og CEO af MosaicML, identificerer open source-projekter som allierede og siger, at de \"lukker hullet til disse closed source-modeller\". Selvom han anerkender overlegenheden af OpenAI's GPT-4, h\u00e6vder han, at open source-modeller har \"krydset den t\u00e6rskel, hvor disse modeller faktisk er ekstremt nyttige.\"<\/span><\/p>\n

Open source AI udvikler sig hurtigt, hvilket f\u00e5r nogle til at beskylde big tech for at presse p\u00e5 for regulering for at bremse v\u00e6ksten. Virksomheder bygger allerede deres egne open source AI-stakke og sparer penge, som ellers kunne finansiere virksomheder som OpenAI.\u00a0<\/span><\/p>\n

A l\u00e6kket memo fra en Google-medarbejder<\/a> sagde, at alle de store teknologiske AI-udviklere - Google, Microsoft, Anthropic og OpenAI - konkurrerer med open source-udviklere.\u00a0<\/span><\/p>\n

Open source AI-udviklere kan bygge og gentage modeller hurtigere end big tech, hvilket g\u00f8r dem i stand til at udman\u00f8vrere mainstream AI-modeller.<\/span><\/p>\n

Det er ikke uden farer, da open source-modeller er udfordrende at overv\u00e5ge og regulere, n\u00e5r de f\u00f8rst er overg\u00e5et til offentlige h\u00e6nder.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

MosaicML har afsl\u00f8ret deres nye open source AI-modeller - MPT-30B Base, Instruct og Chat. Disse open source-modeller, som er en del af MPT-serien (MosaicML Pre Trained Transformer), betragtes som de mest sofistikerede i deres kategori og overg\u00e5r GPT-3 p\u00e5 tv\u00e6rs af de fleste n\u00f8gleparametre. Mosaic har tr\u00e6net deres nye modeller ved hj\u00e6lp af NVIDIA's nyeste H100-chips, som blev frigivet tidligere i \u00e5r. MPT-30B er den f\u00f8rste offentligt kendte LLM, der er tr\u00e6net p\u00e5 high-end NVIDIA H100 GPU'er. Siden introduktionen den 5. maj 2023 er Mosaics tidligere MPT-7B-modeller (Base, Instruct, Chat, StoryWriter) blevet downloadet over 3,3 millioner gange. MPT-30B har 30 milliarder parametre - langt f\u00e6rre end 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\/da\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta 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