{"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\/it\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/","title":{"rendered":"MosaicML presenta la famiglia di modelli di intelligenza artificiale open-source MPT-30B"},"content":{"rendered":"

MosaicML ha presentato i suoi nuovi modelli di intelligenza artificiale open-source: MPT-30B Base, Instruct e Chat.\u00a0<\/strong><\/p>\n

Facenti parte della serie MPT (MosaicML Pre Trained Transformer), questi modelli open-source sono considerati i pi\u00f9 sofisticati della categoria e superano il GPT-3 nella maggior parte delle metriche chiave.\u00a0<\/span><\/p>\n

Mosaico<\/span><\/a> hanno formato i loro nuovi modelli utilizzando i pi\u00f9 recenti chip H100 di NVIDIA, rilasciati all'inizio di quest'anno.\u00a0<\/span><\/p>\n

MPT-30B \u00e8 il primo LLM noto al pubblico addestrato su GPU NVIDIA H100 di fascia alta.\u00a0<\/span><\/p>\n

Dalla loro introduzione il 5 maggio 2023, i precedenti modelli MPT-7B di Mosaic (Base, Instruct, Chat, StoryWriter) sono stati scaricati oltre 3,3 milioni di volte. MPT-30B ha 30 miliardi di parametri - molto meno dei 175 miliardi di GPT-3 o dei presunti 1.000 miliardi di GPT-4.\u00a0<\/span><\/p>\n

Ma il numero di parametri non \u00e8 tutto, tutt'altro: MPT-30B \u00e8 stato addestrato su sequenze pi\u00f9 lunghe, fino a 8.000 token, 4 volte di pi\u00f9 di GPT-3, della famiglia di modelli LLaMA e del modello Falcon.<\/span><\/p>\n

Ci\u00f2 consente all'MPT-30B di gestire meglio i flussi di lavoro aziendali che richiedono dati e di superare altri modelli per i flussi di lavoro che richiedono codice.<\/span><\/p>\n

Diverse aziende, come Replit, un IDE leader sul web, e Scatter Lab, una startup che si occupa di AI, hanno gi\u00e0 sfruttato i modelli open-source di MPT, che sono pi\u00f9 personalizzabili rispetto a quelli proprietari come GPT-3.\u00a0<\/span><\/p>\n

Ilan Twig, cofondatore e CTO di Navan, ha dichiarato. \"In Navan utilizziamo l'intelligenza artificiale generativa in tutti i nostri prodotti e servizi, alimentando esperienze come il nostro agente di viaggio virtuale e il nostro agente di business intelligence conversazionale. I modelli di base di MosaicML offrono capacit\u00e0 linguistiche all'avanguardia e al contempo sono estremamente efficienti per la messa a punto e l'inferenza su scala\".\u00a0<\/span><\/p>\n

MPT-30B, ora disponibile attraverso l'Hub HuggingFace<\/span><\/a>\u00e8 completamente open-source e gli sviluppatori possono perfezionarlo con i loro dati.\u00a0<\/span><\/p>\n

Mosaic mira a consentire alle aziende di integrare potenti modelli open-source nel loro flusso di lavoro, mantenendo la sovranit\u00e0 dei dati.\u00a0<\/span><\/p>\n

Il vantaggio dell'open-source<\/span><\/h2>\n

I modelli open-source sono <\/span>colmare rapidamente il divario<\/span><\/a> con concorrenti come OpenAI.\u00a0<\/span><\/p>\n

Con la diminuzione delle risorse di calcolo necessarie per addestrare e distribuire i modelli, gli sviluppatori open-source non hanno pi\u00f9 bisogno di supercomputer multimilionari con centinaia di processori di fascia alta per addestrare i loro modelli.\u00a0<\/span><\/p>\n

Lo stesso vale per la distribuzione dei modelli: MPT-30B pu\u00f2 essere eseguito su una singola GPU e la comunit\u00e0 open-source \u00e8 riuscita persino a eseguire una versione ridotta del modello LLaMa su un Raspberry PI.<\/span><\/p>\n

\n

Ho eseguito con successo il modello LLaMA 7B sul mio Raspberry Pi 4 da 4 GB di RAM. \u00c8 molto lento, circa 10 secondi\/token. Ma sembra che si possano eseguire pipeline cognitive potenti su un hardware economico. pic.twitter.com\/XDbvM2U5GY<\/a><\/p>\n

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

Inoltre, i modelli open-source conferiscono vantaggi strategici agli utenti aziendali. <\/span><\/p>\n

Ad esempio, le aziende di settori come quello sanitario e bancario potrebbero preferire non condividere i propri dati con OpenAI o Google.\u00a0<\/span><\/p>\n

Naveen Rao, cofondatore e CEO di MosaicML, identifica i progetti open-source come alleati, affermando che stanno \"colmando il divario con questi modelli closed-source\". Pur riconoscendo la superiorit\u00e0 del GPT-4 di OpenAI, sostiene che i modelli open-source hanno \"superato la soglia in cui questi modelli sono effettivamente estremamente utili\".<\/span><\/p>\n

L'IA open-source si sta evolvendo rapidamente, tanto da indurre alcuni ad accusare le big tech di spingere per una regolamentazione che ne freni la crescita. Le imprese stanno gi\u00e0 costruendo i propri stack di IA open-source, risparmiando denaro che altrimenti potrebbe finanziare societ\u00e0 come OpenAI.\u00a0<\/span><\/p>\n

A nota trapelata da un dipendente di Google<\/a> ha affermato che tutti gli sviluppatori di IA delle grandi aziende tecnologiche - Google, Microsoft, Anthropic e OpenAI - sono in concorrenza con gli sviluppatori open-source.\u00a0<\/span><\/p>\n

Gli sviluppatori di IA open-source possono costruire e iterare i modelli pi\u00f9 velocemente delle grandi tecnologie, consentendo loro di superare i modelli di IA tradizionali.<\/span><\/p>\n

Questo non \u00e8 privo di pericoli, poich\u00e9 i modelli open-source sono difficili da monitorare e regolamentare una volta passati nelle mani del pubblico.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

MosaicML ha presentato i suoi nuovi modelli di intelligenza artificiale open-source: MPT-30B Base, Instruct e Chat. Questi modelli open-source, che fanno parte della serie MPT (MosaicML Pre Trained Transformer), sono considerati i pi\u00f9 sofisticati della categoria e superano il GPT-3 nella maggior parte delle metriche chiave. Mosaic ha addestrato i suoi nuovi modelli utilizzando i pi\u00f9 recenti chip H100 di NVIDIA, rilasciati all'inizio di quest'anno. MPT-30B \u00e8 il primo LLM pubblicamente noto addestrato sulle GPU NVIDIA H100 di fascia alta. Dalla loro introduzione il 5 maggio 2023, i precedenti modelli MPT-7B di Mosaic (Base, Instruct, Chat, StoryWriter) sono stati scaricati oltre 3,3 milioni di volte. MPT-30B ha 30 miliardi di parametri, un numero di gran lunga inferiore rispetto ai 175 di GPT-3.<\/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\/it\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" 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