{"id":11999,"date":"2024-05-07T15:02:38","date_gmt":"2024-05-07T15:02:38","guid":{"rendered":"https:\/\/dailyai.com\/?p=11999"},"modified":"2024-05-07T15:02:38","modified_gmt":"2024-05-07T15:02:38","slug":"microsoft-reportedly-building-a-500b-llm-called-mai-1","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2024\/05\/microsoft-reportedly-building-a-500b-llm-called-mai-1\/","title":{"rendered":"Microsoft construirait un LLM de 500 milliards de dollars appel\u00e9 MAI-1"},"content":{"rendered":"<p><strong>Selon un rapport de The Information, Microsoft travaille sur un LLM \u00e0 param\u00e8tre 500B appel\u00e9 MAI-1 qui pourrait s'attaquer \u00e0 GPT-4 et \u00e0 Google. <span class=\"noTranslate\" data-no-translation=\"\">Gemini<\/span> mod\u00e8les.<\/strong><\/p>\n<p>Nous avons r\u00e9cemment publi\u00e9 un article sur le projet de Microsoft <a href=\"https:\/\/dailyai.com\/fr\/2024\/04\/microsoft-launches-phi-3-mini-a-tiny-but-powerful-lm\/\">Phi-3 Mini<\/a> de petits mod\u00e8les linguistiques allant de 3,8 \u00e0 14 milliards de param\u00e8tres. Avec 500 milliards de param\u00e8tres, MAI-1 devrait \u00eatre le plus grand mod\u00e8le d\u00e9ploy\u00e9 par Microsoft.<\/p>\n<p>Sa taille la place dans la m\u00eame cat\u00e9gorie que la GPT-4 et la plus grande de Google. <span class=\"noTranslate\" data-no-translation=\"\">Gemini<\/span> mod\u00e8les. Le mod\u00e8le GPT-4 aurait 1,76 T de param\u00e8tres, mais il s'agit d'un mod\u00e8le de m\u00e9lange d'experts (MoE), de sorte que seuls 280 B de param\u00e8tres environ sont en jeu lors de l'inf\u00e9rence.<\/p>\n<p>Aucune information n'est disponible sur l'architecture de MAI-1, mais s'il s'agit d'un mod\u00e8le dense, contrairement \u00e0 MoE, il sera tr\u00e8s puissant. Le mod\u00e8le Llama 3 pr\u00e9vu par Meta devrait avoir 400 milliards de param\u00e8tres.<\/p>\n<p>Le d\u00e9veloppement de MAI-1 est dirig\u00e9 par Mustafa Suleyman, cofondateur et ancien responsable de l'IA appliqu\u00e9e chez <span class=\"noTranslate\" data-no-translation=\"\">DeepMind<\/span>.<\/p>\n<p>Mustafa est parti <span class=\"noTranslate\" data-no-translation=\"\">DeepMind<\/span> pour cofonder la startup d'IA Inflection en 2022. En mars de cette ann\u00e9e, Microsoft a embauch\u00e9 la majorit\u00e9 du personnel d'Inflection et a pay\u00e9 $650 millions pour les droits de propri\u00e9t\u00e9 intellectuelle de l'entreprise.<\/p>\n<p>MAI-1 est apparemment un tout nouveau projet de Microsoft et non la continuation d'un projet Inflection existant. Aucune date de sortie n'a \u00e9t\u00e9 annonc\u00e9e, mais nous pourrions avoir un aper\u00e7u de MAI-1 le 16 mai, lors de la conf\u00e9rence Build de Microsoft destin\u00e9e aux d\u00e9veloppeurs.<\/p>\n<p>Microsoft est <span class=\"noTranslate\" data-no-translation=\"\">OpenAI<\/span>Le plus grand investisseur de l'UE est donc le fait qu'il d\u00e9veloppe ses propres LLM pour rivaliser avec ceux de l'UE. <span class=\"noTranslate\" data-no-translation=\"\">OpenAI<\/span> est un peu surprenant pour certains. Microsoft fait-elle des paris, poursuit-elle des strat\u00e9gies de d\u00e9veloppement multiples, ou s'agit-il d'une toute autre chose ?<\/p>\n<p>Kevin Scott, directeur technique de Microsoft, a tent\u00e9 de minimiser le probl\u00e8me. Dans un message publi\u00e9 sur LinkedIn, il a d\u00e9clar\u00e9 : \"Je ne sais pas pourquoi il s'agit d'une nouvelle, mais pour r\u00e9sumer ce qui est \u00e9vident : nous construisons de grands superordinateurs pour entra\u00eener des mod\u00e8les d'IA ; notre partenaire Open AI utilise ces superordinateurs pour entra\u00eener des mod\u00e8les qui d\u00e9finissent les fronti\u00e8res ; puis nous mettons tous deux ces mod\u00e8les \u00e0 disposition dans des produits et des services afin que de nombreuses personnes puissent en b\u00e9n\u00e9ficier. Nous aimons beaucoup cet arrangement\".<\/p>\n<p>Scott est peut-\u00eatre sinc\u00e8re dans cette d\u00e9claration, mais la sortie de MAI-1 pourrait mettre Microsoft en concurrence directe avec la soci\u00e9t\u00e9 dans laquelle il a investi des milliards de dollars.<\/p>\n<p>L'AMI-1 sera-t-elle publi\u00e9e juste \u00e0 temps pour le <span class=\"noTranslate\" data-no-translation=\"\">OpenAI<\/span> pour le supplanter en lib\u00e9rant la GPT-5 ? <span class=\"noTranslate\" data-no-translation=\"\">OpenAI<\/span> avait pr\u00e9vu un \u00e9v\u00e9nement pour ce jeudi, au cours duquel l'entreprise devait pr\u00e9senter des mises \u00e0 jour et des d\u00e9monstrations de produits, mais l'\u00e9v\u00e9nement a depuis \u00e9t\u00e9 report\u00e9.<\/p>\n<p>Avec <a href=\"https:\/\/dailyai.com\/fr\/2024\/04\/the-mysterious-gpt2-chatbot-a-surprise-breakthrough-in-ai\/\">myst\u00e9rieux chatbots GPT-2<\/a> apparaissant, disparaissant, et maintenant r\u00e9apparaissant, Microsoft construisant d'\u00e9normes mod\u00e8les, et <span class=\"noTranslate\" data-no-translation=\"\">OpenAI<\/span> En nous laissant dans l'expectative, le drame de l'IA est implacable.<\/p>","protected":false},"excerpt":{"rendered":"<p>Selon un rapport de The Information, Microsoft travaille sur un LLM de 500B param\u00e8tres appel\u00e9 MAI-1 qui pourrait s'attaquer aux mod\u00e8les GPT-4 et Gemini de Google. Nous avons r\u00e9cemment fait \u00e9tat de la famille Phi-3 Mini de Microsoft, compos\u00e9e de petits mod\u00e8les de langage allant de 3,8 \u00e0 14 milliards de param\u00e8tres. Avec 500 milliards de param\u00e8tres, MAI-1 devrait \u00eatre le plus grand mod\u00e8le d\u00e9ploy\u00e9 par Microsoft. Sa taille le place dans la m\u00eame cat\u00e9gorie que GPT-4 et les plus grands mod\u00e8les Gemini de Google. GPT-4 aurait 1,76 T de param\u00e8tres, mais il s'agit d'un mod\u00e8le de m\u00e9lange d'experts (MoE), de sorte que seuls 280 B de param\u00e8tres sont en jeu lors de l'inf\u00e9rence. Il n'y a pas de<\/p>","protected":false},"author":6,"featured_media":12007,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[118,121],"class_list":["post-11999","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llms","tag-microsoft"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Microsoft reportedly building a 500B LLM called MAI-1 | DailyAI<\/title>\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\/fr\/2024\/05\/microsoft-reportedly-building-a-500b-llm-called-mai-1\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Microsoft reportedly building a 500B LLM called MAI-1 | DailyAI\" \/>\n<meta property=\"og:description\" content=\"According to a report by The Information, Microsoft is working on a 500B parameter LLM called MAI-1 that could take on GPT-4 and Google\u2019s Gemini models. We recently reported on Microsoft\u2019s Phi-3 Mini family of small language models ranging from 3.8B to 14B parameters. At 500B parameters, MAI-1 is set to be the largest model Microsoft has deployed. Its size puts it in the same ballpark as GPT-4 and Google\u2019s bigger Gemini models. GPT-4 is rumored to have 1.76T parameters but it\u2019s a Mixture of Experts (MoE) model so only around 280B parameters are in play during inference. 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