{"id":11711,"date":"2024-04-24T11:04:46","date_gmt":"2024-04-24T11:04:46","guid":{"rendered":"https:\/\/dailyai.com\/?p=11711"},"modified":"2024-04-24T11:07:18","modified_gmt":"2024-04-24T11:07:18","slug":"microsoft-launches-phi-3-mini-a-tiny-but-powerful-lm","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2024\/04\/microsoft-launches-phi-3-mini-a-tiny-but-powerful-lm\/","title":{"rendered":"Microsoft lance le Phi-3 Mini, un LM minuscule mais puissant"},"content":{"rendered":"<p><strong>Microsoft a lanc\u00e9 Phi-3 Mini, un minuscule mod\u00e8le de langage qui s'inscrit dans la strat\u00e9gie de l'entreprise visant \u00e0 d\u00e9velopper des mod\u00e8les d'IA l\u00e9gers et sp\u00e9cifiques \u00e0 certaines fonctions.<\/strong><\/p>\n<p>La progression des mod\u00e8les de langage s'est traduite par des param\u00e8tres, des ensembles de donn\u00e9es d'apprentissage et des fen\u00eatres contextuelles de plus en plus grands. L'augmentation de la taille de ces mod\u00e8les a permis d'obtenir des capacit\u00e9s plus puissantes, mais \u00e0 un certain co\u00fbt.<\/p>\n<p>L'approche traditionnelle de la formation d'un LLM consiste \u00e0 lui faire consommer des quantit\u00e9s massives de donn\u00e9es, ce qui n\u00e9cessite d'\u00e9normes ressources informatiques. On estime que la formation d'un LLM tel que le GPT-4, par exemple, a pris environ 3 mois et a co\u00fbt\u00e9 plus de $21m.<\/p>\n<p>Le GPT-4 est une excellente solution pour les t\u00e2ches qui n\u00e9cessitent un raisonnement complexe, mais il est excessif pour des t\u00e2ches plus simples comme la cr\u00e9ation de contenu ou un chatbot de vente. C'est comme si vous utilisiez un couteau suisse alors que vous n'avez besoin que d'un simple coupe-papier.<\/p>\n<p>Avec seulement 3,8 milliards de param\u00e8tres, la Phi-3 Mini est minuscule. Pourtant, Microsoft affirme qu'il s'agit d'une solution id\u00e9ale, l\u00e9g\u00e8re et peu co\u00fbteuse, pour des t\u00e2ches telles que le r\u00e9sum\u00e9 d'un document, l'extraction d'informations \u00e0 partir de rapports et la r\u00e9daction de descriptions de produits ou de messages sur les r\u00e9seaux sociaux.<\/p>\n<p>Les chiffres du benchmark MMLU montrent que le Phi-3 Mini et les mod\u00e8les Phi plus grands, qui n'ont pas encore \u00e9t\u00e9 publi\u00e9s, battent des mod\u00e8les plus grands comme le Phi-3 Mini et le Phi-3 Mini. <span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">Mistral<\/span><\/span><\/span><\/span> 7B et Gemma 7B.<\/p>\n<figure id=\"attachment_11713\" aria-describedby=\"caption-attachment-11713\" style=\"width: 2000px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-11713 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/The-Phi-3-small-language-models-with-big-potential-1.jpg\" alt=\"\" width=\"2000\" height=\"1125\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/The-Phi-3-small-language-models-with-big-potential-1.jpg 2000w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/The-Phi-3-small-language-models-with-big-potential-1-300x169.jpg 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/The-Phi-3-small-language-models-with-big-potential-1-1024x576.jpg 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/The-Phi-3-small-language-models-with-big-potential-1-768x432.jpg 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/The-Phi-3-small-language-models-with-big-potential-1-1536x864.jpg 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/The-Phi-3-small-language-models-with-big-potential-1-18x10.jpg 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/The-Phi-3-small-language-models-with-big-potential-1-60x34.jpg 60w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\" \/><figcaption id=\"caption-attachment-11713\" class=\"wp-caption-text\">Performances des mod\u00e8les Phi-3 sur le benchmark Massive Multitask Language Understanding (MMLU) par rapport \u00e0 d'autres mod\u00e8les de taille similaire. Source : Microsoft<\/figcaption><\/figure>\n<p>Microsoft indique que Phi-3-small (7B param\u00e8tres) et Phi-3-medium (14B param\u00e8tres) seront disponibles dans le Azure AI Model Catalog \"prochainement\".<\/p>\n<p>Les grands mod\u00e8les comme le GPT-4 restent la r\u00e9f\u00e9rence et nous pouvons probablement nous attendre \u00e0 ce que le GPT-5 soit encore plus grand.<\/p>\n<p>Les SLM comme le Phi-3 Mini offrent des avantages importants que les mod\u00e8les plus grands n'ont pas. Les SLM sont moins chers \u00e0 ajuster, n\u00e9cessitent moins de calculs et peuvent fonctionner sur l'appareil m\u00eame dans les situations o\u00f9 aucun acc\u00e8s \u00e0 l'internet n'est disponible.<\/p>\n<p>Le d\u00e9ploiement d'un SLM \u00e0 la p\u00e9riph\u00e9rie permet de r\u00e9duire la latence et de maximiser la confidentialit\u00e9, car il n'est pas n\u00e9cessaire d'envoyer les donn\u00e9es dans les deux sens vers le nuage.<\/p>\n<p>Voici Sebastien Bubeck, vice-pr\u00e9sident de la recherche GenAI chez Microsoft AI, avec une d\u00e9monstration du Phi-3 Mini. Il est super rapide et impressionnant pour un si petit mod\u00e8le.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p dir=\"ltr\" lang=\"en\">phi-3 est l\u00e0, et il est ... bon :-).<\/p>\n<p>J'ai fait une petite d\u00e9mo rapide pour vous donner une id\u00e9e de ce que phi-3-mini (3.8B) peut faire. Restez \u00e0 l'\u00e9coute pour la publication des poids libres et d'autres annonces demain matin !<\/p>\n<p>(Et bien s\u00fbr, cet article ne serait pas complet sans le tableau habituel des points de rep\u00e8re !) <a href=\"https:\/\/t.co\/AWA7Km59rp\">pic.twitter.com\/AWA7Km59rp<\/a><\/p>\n<p>- S\u00e9bastien Bubeck (@SebastienBubeck) <a href=\"https:\/\/twitter.com\/SebastienBubeck\/status\/1782627991874678809?ref_src=twsrc%5Etfw\">23 avril 2024<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<h2>Donn\u00e9es synth\u00e9tiques s\u00e9lectionn\u00e9es<\/h2>\n<p>Phi-3 Mini est le r\u00e9sultat de l'abandon de l'id\u00e9e que d'\u00e9normes quantit\u00e9s de donn\u00e9es sont le seul moyen de former un mod\u00e8le.<\/p>\n<p>S\u00e9bastien Bubeck, vice-pr\u00e9sident de Microsoft charg\u00e9 de la recherche sur l'IA g\u00e9n\u00e9rative, a pos\u00e9 la question suivante : \"Au lieu de s'entra\u00eener sur des donn\u00e9es web brutes, pourquoi ne pas rechercher des donn\u00e9es d'une qualit\u00e9 extr\u00eamement \u00e9lev\u00e9e ?\"<\/p>\n<p>Ronen Eldan, expert en apprentissage automatique de Microsoft Research, lisait des histoires \u00e0 sa fille lorsqu'il s'est demand\u00e9 si un mod\u00e8le de langage pouvait apprendre en utilisant uniquement des mots qu'un enfant de 4 ans peut comprendre.<\/p>\n<p>Cela a conduit \u00e0 une exp\u00e9rience o\u00f9 ils ont cr\u00e9\u00e9 un ensemble de donn\u00e9es commen\u00e7ant par 3 000 mots. En utilisant uniquement ce vocabulaire limit\u00e9, ils ont incit\u00e9 un LLM \u00e0 cr\u00e9er des millions de petites histoires pour enfants qui ont \u00e9t\u00e9 compil\u00e9es dans un ensemble de donn\u00e9es appel\u00e9 TinyStories.<\/p>\n<p>Les chercheurs ont ensuite utilis\u00e9 TinyStories pour entra\u00eener un mod\u00e8le extr\u00eamement petit de 10 millions de param\u00e8tres, qui a ensuite \u00e9t\u00e9 capable de g\u00e9n\u00e9rer des \"r\u00e9cits fluides avec une grammaire parfaite\".<\/p>\n<p>Ils ont continu\u00e9 \u00e0 it\u00e9rer et \u00e0 d\u00e9velopper cette approche de g\u00e9n\u00e9ration de donn\u00e9es synth\u00e9tiques pour cr\u00e9er des ensembles de donn\u00e9es synth\u00e9tiques plus avanc\u00e9s, mais soigneusement conserv\u00e9s et filtr\u00e9s, qui ont finalement \u00e9t\u00e9 utilis\u00e9s pour entra\u00eener Phi-3 Mini.<\/p>\n<p>Le r\u00e9sultat est un petit mod\u00e8le qui sera plus abordable \u00e0 utiliser tout en offrant des performances comparables \u00e0 celles du GPT-3.5.<\/p>\n<p>Des mod\u00e8les plus petits mais plus performants permettront aux entreprises de s'\u00e9loigner des grands LLM tels que GPT-4. Nous pourrions aussi bient\u00f4t voir des solutions o\u00f9 un LLM s'occupe des t\u00e2ches lourdes mais d\u00e9l\u00e8gue les t\u00e2ches plus simples \u00e0 des mod\u00e8les plus l\u00e9gers.<\/p>","protected":false},"excerpt":{"rendered":"<p>Microsoft a lanc\u00e9 Phi-3 Mini, un minuscule mod\u00e8le de langage qui s'inscrit dans la strat\u00e9gie de l'entreprise visant \u00e0 d\u00e9velopper des mod\u00e8les d'IA l\u00e9gers et sp\u00e9cifiques \u00e0 certaines fonctions. La progression des mod\u00e8les de langage s'est traduite par des param\u00e8tres, des ensembles de donn\u00e9es d'entra\u00eenement et des fen\u00eatres contextuelles de plus en plus grands. L'augmentation de la taille de ces mod\u00e8les a permis d'obtenir des capacit\u00e9s plus puissantes, mais \u00e0 un certain co\u00fbt. L'approche traditionnelle de l'entra\u00eenement d'un LLM consiste \u00e0 lui faire consommer des quantit\u00e9s massives de donn\u00e9es, ce qui n\u00e9cessite d'\u00e9normes ressources informatiques. On estime que la formation d'un LLM comme le GPT-4, par exemple, a pris environ 3 mois et a co\u00fbt\u00e9 plus de $21m. Le GPT-4 est une excellente solution pour les t\u00e2ches qui<\/p>","protected":false},"author":6,"featured_media":11715,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[118,121],"class_list":["post-11711","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 v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Microsoft launches Phi-3 Mini, a tiny but powerful LM | 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\/04\/microsoft-launches-phi-3-mini-a-tiny-but-powerful-lm\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Microsoft launches Phi-3 Mini, a tiny but powerful LM | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Microsoft launched Phi-3 Mini, a tiny language model that is part of the company\u2019s strategy to develop lightweight, function-specific AI models. 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