{"id":8340,"date":"2023-12-15T20:06:58","date_gmt":"2023-12-15T20:06:58","guid":{"rendered":"https:\/\/dailyai.com\/?p=8340"},"modified":"2023-12-16T12:09:40","modified_gmt":"2023-12-16T12:09:40","slug":"deepmind-makes-major-breakthrough-in-mathematical-machine-learning","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/12\/deepmind-makes-major-breakthrough-in-mathematical-machine-learning\/","title":{"rendered":"DeepMind fait une perc\u00e9e majeure dans l'apprentissage math\u00e9matique des machines"},"content":{"rendered":"<p><b>Les chercheurs de DeepMind ont d\u00e9voil\u00e9 \"FunSearch\", une nouvelle m\u00e9thode qui s'appuie sur les grands mod\u00e8les de langage (LLM) pour trouver de nouvelles solutions en math\u00e9matiques et en informatique.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">L'article, publi\u00e9 dans <a href=\"https:\/\/www.nature.com\/articles\/s41586-023-06924-6\">Nature<\/a>L'auteur d\u00e9crit FunSearch, qui combine un LLM pr\u00e9form\u00e9 charg\u00e9 de trouver des solutions inventives bas\u00e9es sur des codes et un \u00e9valuateur automatis\u00e9 qui att\u00e9nue les impr\u00e9cisions dans le processus de r\u00e9solution des probl\u00e8mes.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Il commence par utiliser le LLM pour g\u00e9n\u00e9rer des solutions cr\u00e9atives sous forme de code informatique. Ensuite, le syst\u00e8me automatis\u00e9 v\u00e9rifie ces solutions pour s'assurer qu'elles sont correctes et utiles. Ce processus se r\u00e9p\u00e8te, affinant les solutions \u00e0 chaque cycle, transformant les id\u00e9es initiales en nouvelles connaissances v\u00e9rifi\u00e9es.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">En termes simples, FunSearch ressemble \u00e0 une s\u00e9ance de brainstorming entre un penseur tr\u00e8s cr\u00e9atif (le LLM) et un v\u00e9rificateur de faits rigoureux, qui travaillent ensemble pour trouver des r\u00e9ponses innovantes \u00e0 des probl\u00e8mes complexes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ce processus it\u00e9ratif permet aux id\u00e9es initiales d'\u00e9voluer vers de nouvelles connaissances v\u00e9rifi\u00e9es. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dans les exp\u00e9riences actuelles de DeepMind, FunSearch a permis d'obtenir de nouvelles informations sur des probl\u00e8mes math\u00e9matiques cl\u00e9s, notamment le probl\u00e8me de l'ensemble des casquettes et le probl\u00e8me de l'empaquetage.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">S'attaquer au probl\u00e8me du jeu de casquettes<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">L'une des principales r\u00e9ussites de l'initiative <a href=\"https:\/\/www.nature.com\/articles\/d41586-023-04043-w\">FunSearch<\/a> est sa performance dans le probl\u00e8me de l'ensemble des capuchons, un d\u00e9fi complexe dans le cadre de la th\u00e9orie math\u00e9matique.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Voici un examen plus approfondi de ce probl\u00e8me :<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Le probl\u00e8me de l'ensemble de points est bas\u00e9 sur un espace \u00e0 haute dimension, o\u00f9 l'objectif est de trouver le plus grand ensemble possible de points (un ensemble de points) o\u00f9 aucun des trois points ne s'aligne en ligne droite.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Le d\u00e9fi provient de la croissance exponentielle des combinaisons possibles \u00e0 mesure que la dimension de l'espace augmente, ce qui rend les approches informatiques traditionnelles inefficaces.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">La perc\u00e9e de FunSearch r\u00e9side dans la g\u00e9n\u00e9ration de programmes qui ont identifi\u00e9 des ensembles de casquettes plus importants que ceux connus jusqu'\u00e0 pr\u00e9sent, d\u00e9montrant une capacit\u00e9 sans pr\u00e9c\u00e9dent \u00e0 surpasser les connaissances math\u00e9matiques pilot\u00e9es par l'homme.<\/span><\/li>\n<\/ul>\n<p>Un probl\u00e8me plus pratique abord\u00e9 par FunSearch est le probl\u00e8me de l'emballage des bacs, qui recherche des strat\u00e9gies optimales pour emballer des articles de tailles vari\u00e9es dans des conteneurs, un d\u00e9fi pertinent \u00e0 la fois dans les sc\u00e9narios physiques, comme l'organisation des conteneurs d'exp\u00e9dition, et dans les sciences informatiques, comme l'organisation des t\u00e2ches informatiques \u00e0 des fins d'efficacit\u00e9.<\/p>\n<p>Les m\u00e9thodes traditionnelles consistent g\u00e9n\u00e9ralement \u00e0 emballer les objets dans le premier espace disponible ou dans l'espace o\u00f9 il reste le moins de place.<\/p>\n<p>Cependant, FunSearch a introduit des approches efficaces qui \u00e9vitent strat\u00e9giquement de laisser de petites lacunes non combl\u00e9es.<\/p>\n<h2><span style=\"font-weight: 400;\">Utilisations potentielles de FunSearch<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Jordan Ellenberg, professeur de math\u00e9matiques \u00e0 l'universit\u00e9 du Wisconsin-Madison et co-auteur de l'article, a soulign\u00e9 les implications de FunSearch pour l'avenir de l'interaction homme-machine en informatique et en math\u00e9matiques.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Ce que je trouve vraiment passionnant, plus encore que les r\u00e9sultats sp\u00e9cifiques que nous avons trouv\u00e9s, ce sont les perspectives qu'ils sugg\u00e8rent pour l'avenir de l'interaction homme-machine en math\u00e9matiques\", a d\u00e9clar\u00e9 M. Ellenberg. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Il a ajout\u00e9 : \"Au lieu de g\u00e9n\u00e9rer une solution, FunSearch g\u00e9n\u00e8re un programme qui trouve la solution. Une solution \u00e0 un probl\u00e8me sp\u00e9cifique peut ne pas me donner d'indications sur la mani\u00e8re de r\u00e9soudre d'autres probl\u00e8mes connexes.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Mais un programme qui trouve la solution, c'est quelque chose qu'un \u00eatre humain peut lire et interpr\u00e9ter et, esp\u00e9rons-le, g\u00e9n\u00e9rer des id\u00e9es pour le probl\u00e8me suivant et le suivant et le suivant\".<\/span><\/p>\n<p>Voici plus de d\u00e9tails sur la fa\u00e7on dont FunSearch innove en mati\u00e8re d'apprentissage automatique :<\/p>\n<ul>\n<li><strong>R\u00e9solution cr\u00e9ative de probl\u00e8mes avec g\u00e9n\u00e9ration de code<\/strong>: Contrairement \u00e0 de nombreux syst\u00e8mes d'IA qui se concentrent sur l'analyse des donn\u00e9es ou la reconnaissance des formes, FunSearch se sp\u00e9cialise dans la g\u00e9n\u00e9ration de solutions cr\u00e9atives dans le code informatique. Cela lui permet de s'attaquer \u00e0 des probl\u00e8mes qui ne consistent pas seulement \u00e0 interpr\u00e9ter des donn\u00e9es, mais aussi \u00e0 cr\u00e9er de nouvelles fa\u00e7ons de r\u00e9soudre des probl\u00e8mes complexes.<\/li>\n<li><strong>Raffinement it\u00e9ratif<\/strong>: FunSearch utilise un processus it\u00e9ratif d'am\u00e9lioration continue des solutions. Il part d'une id\u00e9e initiale g\u00e9n\u00e9r\u00e9e par le LLM, puis l'affine par une s\u00e9rie d'\u00e9valuations et d'am\u00e9liorations. Ce processus imite la mani\u00e8re dont les humains r\u00e9solvent souvent les probl\u00e8mes - en commen\u00e7ant par une id\u00e9e brute et en l'am\u00e9liorant au fil du temps.<\/li>\n<li><strong>Cr\u00e9ativit\u00e9 et rigueur<\/strong>: FunSearch comble le foss\u00e9 entre la r\u00e9solution cr\u00e9ative de probl\u00e8mes et l'\u00e9valuation rigoureuse. Le LLM apporte cr\u00e9ativit\u00e9 et innovation, g\u00e9n\u00e9rant des solutions nouvelles et inexplor\u00e9es, tandis que l'\u00e9valuateur automatis\u00e9 s'assure que ces solutions sont pr\u00e9cises et viables. Cette double approche est cruciale dans les domaines scientifiques o\u00f9 l'innovation doit \u00eatre associ\u00e9e \u00e0 la pr\u00e9cision.<\/li>\n<li><strong>Transparence :<\/strong> L'un des aspects uniques de FunSearch est sa capacit\u00e9 \u00e0 fournir des r\u00e9sultats transparents et interpr\u00e9tables. Au lieu d'offrir une r\u00e9ponse finale, il g\u00e9n\u00e8re un programme d\u00e9taillant la mani\u00e8re dont cette solution a \u00e9t\u00e9 obtenue. Cette transparence est essentielle pour la recherche scientifique, o\u00f9 la compr\u00e9hension du processus est aussi importante que le r\u00e9sultat.<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Pushmeet Kohli, responsable de l'IA pour la science chez DeepMind, a expliqu\u00e9 comment FunSearch ouvre la voie \u00e0 une nouvelle forme de recherche sur l'apprentissage automatique : \"Cela va en fait transformer la fa\u00e7on dont les gens abordent l'informatique et la d\u00e9couverte algorithmique. Pour la premi\u00e8re fois, nous constatons que les LLM ne prennent pas le relais, mais qu'ils contribuent \u00e0 repousser les limites de ce qui est possible en mati\u00e8re d'algorithmes\".<\/span><\/p>\n<p>En associant les capacit\u00e9s cr\u00e9atives des LLM \u00e0 une \u00e9valuation rigoureuse, FunSearch illustre une nouvelle approche pour aborder des probl\u00e8mes ouverts complexes. Ses applications pratiques seront fascinantes.<\/p>","protected":false},"excerpt":{"rendered":"<p>Les chercheurs de DeepMind ont d\u00e9voil\u00e9 \"FunSearch\", une nouvelle m\u00e9thode tirant parti des grands mod\u00e8les de langage (LLM) pour d\u00e9nicher de nouvelles solutions en math\u00e9matiques et en informatique.  L'article, publi\u00e9 dans Nature, d\u00e9crit FunSearch, qui combine un LLM pr\u00e9-entra\u00een\u00e9 charg\u00e9 de trouver des solutions inventives bas\u00e9es sur le code et un \u00e9valuateur automatis\u00e9 qui att\u00e9nue les impr\u00e9cisions dans le processus de r\u00e9solution de probl\u00e8mes.  Le syst\u00e8me commence par utiliser le LLM pour g\u00e9n\u00e9rer des solutions cr\u00e9atives sous forme de code informatique. Ensuite, le syst\u00e8me automatis\u00e9 v\u00e9rifie ces solutions pour s'assurer qu'elles sont correctes et utiles. Ce processus se r\u00e9p\u00e8te, affinant les solutions \u00e0 chaque cycle, transformant les id\u00e9es initiales en nouvelles connaissances v\u00e9rifi\u00e9es.  En termes simples, FunSearch est comme<\/p>","protected":false},"author":2,"featured_media":5647,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[147,102,105],"class_list":["post-8340","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-deepmind","tag-google","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DeepMind makes major breakthrough in mathematical machine learning | DailyAI<\/title>\n<meta name=\"description\" content=\"DeepMind researchers unveiled &quot;FunSearch,&quot; a novel method leveraging Large Language Models (LLMs) to unearth new mathematics and computer science solutions.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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