{"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\/nb\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/","title":{"rendered":"MosaicML lanserer MPT-30B-familien av AI-modeller med \u00e5pen kildekode"},"content":{"rendered":"

MosaicML har avduket sine nye AI-modeller med \u00e5pen kildekode - MPT-30B Base, Instruct og Chat.\u00a0<\/strong><\/p>\n

Disse \u00e5pen kildekode-modellene, som er en del av MPT-serien (MosaicML Pre Trained Transformer), regnes som de mest sofistikerte i sin kategori, og overg\u00e5r GPT-3 p\u00e5 de fleste viktige parametere.\u00a0<\/span><\/p>\n

Mosaikk<\/span><\/a> trente sine nye modeller med NVIDIAs nyeste H100-brikker, som ble lansert tidligere i \u00e5r.\u00a0<\/span><\/p>\n

MPT-30B er den f\u00f8rste offentlig kjente LLM-en som er trent p\u00e5 avanserte NVIDIA H100 GPU-er.\u00a0<\/span><\/p>\n

Siden introduksjonen 5. mai 2023 har Mosaics tidligere MPT-7B-modeller (Base, Instruct, Chat, StoryWriter) blitt lastet ned over 3,3 millioner ganger. MPT-30B har 30 milliarder parametere - langt f\u00e6rre enn GPT-3s 175 milliarder parametere eller GPT-4s p\u00e5st\u00e5tte 1 billion parametere.\u00a0<\/span><\/p>\n

Men antall parametere er ikke alt - langt ifra - ettersom MPT-30B har blitt trent p\u00e5 lengre sekvenser p\u00e5 opptil 8000 tokens, fire ganger mer enn GPT-3, LLaMA-familien av modeller og Falcon-modellen.<\/span><\/p>\n

Dette gj\u00f8r MPT-30B bedre i stand til \u00e5 h\u00e5ndtere datatunge arbeidsflyter i bedriften og utkonkurrere andre modeller for kodetunge arbeidsflyter.<\/span><\/p>\n

Flere bedrifter, som Replit, en ledende nettbasert IDE, og Scatter Lab, et nystartet AI-selskap, har allerede tatt i bruk MPTs modeller med \u00e5pen kildekode, som er mer tilpasningsdyktige enn propriet\u00e6re modeller som GPT-3.\u00a0<\/span><\/p>\n

Ilan Twig, medgrunnlegger og teknisk direkt\u00f8r i Navan, sier \"Hos Navan bruker vi generativ AI i alle v\u00e5re produkter og tjenester, og vi bruker det i opplevelser som v\u00e5rt virtuelle reisebyr\u00e5 og v\u00e5r dialogbaserte business intelligence-agent. MosaicMLs grunnmodeller tilbyr toppmoderne spr\u00e5kfunksjoner, samtidig som de er ekstremt effektive n\u00e5r det gjelder \u00e5 finjustere og tjene slutninger i stor skala.\"\u00a0<\/span><\/p>\n

MPT-30B, n\u00e5 tilgjengelig gjennom HuggingFace Hub<\/span><\/a>er helt \u00e5pen kildekode, og utviklere kan finjustere den med egne data.\u00a0<\/span><\/p>\n

Mosaic har som m\u00e5l \u00e5 gj\u00f8re det mulig for bedrifter \u00e5 integrere kraftige modeller med \u00e5pen kildekode i arbeidsflyten, samtidig som de beholder datasuvereniteten.\u00a0<\/span><\/p>\n

Den \u00e5pne kildekode-fordelen<\/span><\/h2>\n

Modeller med \u00e5pen kildekode er <\/span>raskt \u00e5 bygge bro over gapet<\/span><\/a> med konkurrenter som OpenAI.\u00a0<\/span><\/p>\n

Etter hvert som databehandlingsressursene som kreves for \u00e5 trene og distribuere modeller, synker, trenger ikke open source-utviklere lenger superdatamaskiner til flere millioner dollar med hundrevis av avanserte prosessorer for \u00e5 trene opp modellene sine.\u00a0<\/span><\/p>\n

Det samme gjelder for distribusjon av modeller - MPT-30B kan kj\u00f8res p\u00e5 \u00e9n enkelt GPU, og open source-fellesskapet har til og med klart \u00e5 kj\u00f8re en nedskalert versjon av LLaMa-modellen p\u00e5 en Raspberry PI.<\/span><\/p>\n

\n

Jeg har sucefully kj\u00f8rt LLaMA 7B-modellen p\u00e5 min 4GB RAM Raspberry Pi 4. Det er super tregt, omtrent 10 sek\/token. Men det ser ut til at vi kan kj\u00f8re kraftige kognitive pipelines p\u00e5 en billig maskinvare. pic.twitter.com\/XDbvM2U5GY<\/a><\/p>\n

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

I tillegg gir \u00e5pen kildekode-modeller strategiske fordeler for forretningsbrukere. <\/span><\/p>\n

For eksempel kan det hende at virksomheter i bransjer som helsevesenet og bankvesenet foretrekker \u00e5 ikke dele dataene sine med OpenAI eller Google.\u00a0<\/span><\/p>\n

Naveen Rao, medstifter og administrerende direkt\u00f8r i MosaicML, identifiserer \u00e5pen kildekode-prosjekter som allierte, og sier at de er i ferd med \u00e5 \"lukke gapet til disse lukkede kildekode-modellene\". Selv om han erkjenner overlegenheten til OpenAIs GPT-4, hevder han at \u00e5pen kildekode-modeller har \"krysset terskelen der disse modellene faktisk er ekstremt nyttige\".<\/span><\/p>\n

\u00c5pen kildekode for kunstig intelligens er i rask utvikling, noe som har f\u00e5tt noen til \u00e5 beskylde big tech for \u00e5 presse p\u00e5 for regulering for \u00e5 bremse veksten. Bedrifter bygger allerede sine egne AI-stabler med \u00e5pen kildekode, noe som sparer penger som ellers kunne finansiert selskaper som OpenAI.\u00a0<\/span><\/p>\n

A lekket notat fra en Google-ansatt<\/a> sa at alle de store AI-utviklerne - Google, Microsoft, Anthropic og OpenAI - konkurrerer med open source-utviklere.\u00a0<\/span><\/p>\n

Utviklere av \u00e5pen kildekode-KI kan bygge og iterere modeller raskere enn de store teknologibedriftene, noe som gj\u00f8r dem i stand til \u00e5 utman\u00f8vrere mainstream-KI-modeller.<\/span><\/p>\n

Dette er ikke uten farer, ettersom \u00e5pen kildekode-modeller er utfordrende \u00e5 overv\u00e5ke og regulere n\u00e5r de f\u00f8rst er overf\u00f8rt til offentlige hender.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

MosaicML har avduket sine nye AI-modeller med \u00e5pen kildekode - MPT-30B Base, Instruct og Chat. Disse open source-modellene, som er en del av MPT-serien (MosaicML Pre Trained Transformer), regnes som de mest sofistikerte i sin kategori, og overg\u00e5r GPT-3 p\u00e5 de fleste viktige parametere. Mosaic har trent sine nye modeller ved hjelp av NVIDIAs nyeste H100-brikker, som ble lansert tidligere i \u00e5r. MPT-30B er den f\u00f8rste offentlig kjente LLM-en som er trent p\u00e5 avanserte NVIDIA H100 GPU-er. Siden introduksjonen 5. mai 2023 har Mosaics tidligere MPT-7B-modeller (Base, Instruct, Chat, StoryWriter) blitt lastet ned over 3,3 millioner ganger. MPT-30B har 30 milliarder parametere - langt f\u00e6rre enn GPT-3s 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\/nb\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta 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