{"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\/pt\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/","title":{"rendered":"MosaicML revela a fam\u00edlia MPT-30B de modelos de IA de c\u00f3digo aberto"},"content":{"rendered":"

A MosaicML revelou os seus novos modelos de IA de c\u00f3digo aberto - MPT-30B Base, Instruct e Chat.\u00a0<\/strong><\/p>\n

Fazendo parte da s\u00e9rie MPT (MosaicML Pre Trained Transformer), estes modelos de c\u00f3digo aberto s\u00e3o considerados os mais sofisticados da sua categoria, ultrapassando o GPT-3 na maioria das m\u00e9tricas chave.\u00a0<\/span><\/p>\n

Mosaico<\/span><\/a> treinaram os seus novos modelos utilizando os mais recentes chips H100 da NVIDIA, lan\u00e7ados no in\u00edcio deste ano.\u00a0<\/span><\/p>\n

O MPT-30B \u00e9 o primeiro LLM conhecido publicamente treinado em GPUs NVIDIA H100 de ponta.\u00a0<\/span><\/p>\n

Desde a sua introdu\u00e7\u00e3o em 5 de maio de 2023, os anteriores modelos MPT-7B do Mosaic (Base, Instruct, Chat, StoryWriter) foram descarregados mais de 3,3 milh\u00f5es de vezes. O MPT-30B tem 30 mil milh\u00f5es de par\u00e2metros - muito menos do que os 175 mil milh\u00f5es de par\u00e2metros do GPT-3 ou os alegados 1 trili\u00e3o de par\u00e2metros do GPT-4.\u00a0<\/span><\/p>\n

Mas a contagem de par\u00e2metros n\u00e3o \u00e9 tudo - longe disso - j\u00e1 que o MPT-30B foi treinado em sequ\u00eancias mais longas de at\u00e9 8.000 tokens, 4 vezes mais do que o GPT-3, a fam\u00edlia de modelos LLaMA e o modelo Falcon.<\/span><\/p>\n

Isto permite ao MPT-30B gerir melhor os fluxos de trabalho empresariais com muitos dados e superar outros modelos para fluxos de trabalho com muito c\u00f3digo.<\/span><\/p>\n

V\u00e1rias empresas, como a Replit, uma IDE l\u00edder na Web, e a Scatter Lab, uma empresa iniciante de IA, j\u00e1 utilizaram os modelos de c\u00f3digo aberto do MPT, que s\u00e3o mais personaliz\u00e1veis do que os modelos propriet\u00e1rios como o GPT-3.\u00a0<\/span><\/p>\n

Ilan Twig, cofundador e CTO da Navan, afirmou. \"Na Navan, usamos IA generativa em nossos produtos e servi\u00e7os, alimentando experi\u00eancias como nosso agente de viagens virtual e nosso agente de intelig\u00eancia de neg\u00f3cios conversacional. Os modelos de base do MosaicML oferecem recursos de linguagem de \u00faltima gera\u00e7\u00e3o, sendo extremamente eficientes para ajustar e servir infer\u00eancia em escala.\"\u00a0<\/span><\/p>\n

MPT-30B, agora dispon\u00edvel atrav\u00e9s do HuggingFace Hub<\/span><\/a>\u00e9 totalmente de c\u00f3digo aberto e os programadores podem ajust\u00e1-lo aos seus dados.\u00a0<\/span><\/p>\n

A Mosaic procura permitir que as empresas integrem poderosos modelos de fonte aberta no seu fluxo de trabalho, mantendo a soberania dos dados.\u00a0<\/span><\/p>\n

A vantagem do c\u00f3digo aberto<\/span><\/h2>\n

Os modelos de c\u00f3digo aberto s\u00e3o <\/span>colmatando rapidamente o fosso<\/span><\/a> com concorrentes como a OpenAI.\u00a0<\/span><\/p>\n

\u00c0 medida que os recursos inform\u00e1ticos necess\u00e1rios para treinar e implementar modelos diminuem, os programadores de c\u00f3digo aberto j\u00e1 n\u00e3o precisam de supercomputadores multimilion\u00e1rios com centenas de processadores topo de gama para treinar os seus modelos.\u00a0<\/span><\/p>\n

O mesmo se aplica \u00e0 implementa\u00e7\u00e3o de modelos - o MPT-30B pode ser executado numa \u00fanica GPU, e a comunidade de c\u00f3digo aberto conseguiu mesmo executar uma vers\u00e3o reduzida do modelo LLaMa num Raspberry PI.<\/span><\/p>\n

\n

Eu executei com sucesso o modelo LLaMA 7B no meu Raspberry Pi 4 de 4GB de RAM. \u00c9 super lento, cerca de 10 segundos\/token. Mas parece que podemos executar pipelines cognitivos poderosos num hardware barato. pic.twitter.com\/XDbvM2U5GY<\/a><\/p>\n

- Artem Andreenko \ud83c\uddfa\ud83c\udde6 (@miolini) 12 de mar\u00e7o de 2023<\/a><\/p><\/blockquote>\n

Al\u00e9m disso, os modelos de c\u00f3digo aberto conferem vantagens estrat\u00e9gicas aos utilizadores empresariais. <\/span><\/p>\n

Por exemplo, as empresas de sectores como os cuidados de sa\u00fade e a banca podem preferir n\u00e3o partilhar os seus dados com a OpenAI ou a Google.\u00a0<\/span><\/p>\n

Naveen Rao, cofundador e diretor executivo da MosaicML, identifica os projectos de c\u00f3digo aberto como aliados, afirmando que est\u00e3o a \"colmatar a lacuna destes modelos de c\u00f3digo fechado\". Embora reconhe\u00e7a a superioridade do GPT-4 da OpenAI, argumenta que os modelos de c\u00f3digo aberto \"ultrapassaram o limiar em que estes modelos s\u00e3o de facto extremamente \u00fateis\".<\/span><\/p>\n

A IA de c\u00f3digo aberto est\u00e1 a evoluir rapidamente, levando alguns a acusar as grandes tecnologias de estarem a pressionar a regulamenta\u00e7\u00e3o para travar o seu crescimento. As empresas j\u00e1 est\u00e3o a construir as suas pr\u00f3prias pilhas de IA de c\u00f3digo aberto, poupando dinheiro que, de outra forma, poderia financiar empresas como a OpenAI.\u00a0<\/span><\/p>\n

A memorando divulgado por um funcion\u00e1rio da Google<\/a> afirmou que todos os criadores de IA das grandes tecnologias - Google, Microsoft, Anthropic e OpenAI - est\u00e3o a competir com os criadores de c\u00f3digo aberto.\u00a0<\/span><\/p>\n

Os programadores de IA de c\u00f3digo aberto podem criar e iterar modelos mais rapidamente do que a grande tecnologia, o que lhes permite ultrapassar os modelos de IA convencionais.<\/span><\/p>\n

Isto n\u00e3o \u00e9 isento de perigos, uma vez que os modelos de c\u00f3digo aberto s\u00e3o dif\u00edceis de controlar e regular quando passam para as m\u00e3os do p\u00fablico.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

A MosaicML revelou os seus novos modelos de IA de c\u00f3digo aberto - MPT-30B Base, Instruct e Chat. Fazendo parte da s\u00e9rie MPT (MosaicML Pre Trained Transformer), estes modelos de c\u00f3digo aberto s\u00e3o considerados os mais sofisticados da sua categoria, ultrapassando o GPT-3 na maioria das m\u00e9tricas principais. A Mosaic treinou os seus novos modelos utilizando os mais recentes chips H100 da NVIDIA, lan\u00e7ados no in\u00edcio deste ano. O MPT-30B \u00e9 o primeiro LLM conhecido publicamente treinado em GPUs NVIDIA H100 de ponta. Desde a sua introdu\u00e7\u00e3o em 5 de maio de 2023, os modelos MPT-7B anteriores do Mosaic (Base, Instruct, Chat, StoryWriter) foram descarregados mais de 3,3 milh\u00f5es de vezes. O MPT-30B tem 30 mil milh\u00f5es de par\u00e2metros - muito menos do que os 175 do 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\/pt\/2023\/06\/mosaicml-unveils-the-mpt-30b-family-of-open-source-ai-models\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" 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