{"id":220,"date":"2024-08-15T11:10:36","date_gmt":"2024-08-15T11:10:36","guid":{"rendered":"https:\/\/www.asm15.fr\/index.php\/2024\/08\/15\/golden-retriever-un-outil-rag-proactif-pour-une-navigation-et-une-interrogation-optimisees-des-vastres-bases-de-connaissances-industrielles\/"},"modified":"2024-08-15T11:10:36","modified_gmt":"2024-08-15T11:10:36","slug":"golden-retriever-un-outil-rag-proactif-pour-une-navigation-et-une-interrogation-optimisees-des-vastres-bases-de-connaissances-industrielles","status":"publish","type":"post","link":"https:\/\/www.asm15.fr\/index.php\/2024\/08\/15\/golden-retriever-un-outil-rag-proactif-pour-une-navigation-et-une-interrogation-optimisees-des-vastres-bases-de-connaissances-industrielles\/","title":{"rendered":"Golden Retriever : Un Outil RAG Proactif pour une Navigation et une Interrogation Optimis\u00e9es des Vastres Bases de Connaissances Industrielles"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/oaidalleapiprodscus.blob.core.windows.net\/private\/org-PXteLUy4B6mslwRon6h7ri9z\/user-0jfma6aPNvZyLXZUbw4CmvZG\/img-Ab1UL6wbu8FggUkP3JkJzNFB.png?st=2024-08-15T10%3A10%3A35Z&#038;se=2024-08-15T12%3A10%3A35Z&#038;sp=r&#038;sv=2024-08-04&#038;sr=b&#038;rscd=inline&#038;rsct=image\/png&#038;skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&#038;sktid=a48cca56-e6da-484e-a814-9c849652bcb3&#038;skt=2024-08-14T18%3A00%3A34Z&#038;ske=2024-08-15T18%3A00%3A34Z&#038;sks=b&#038;skv=2024-08-04&#038;sig=G4gPvIlNtt6IPJsesIwoS2ELEDW9q7YbL0zSCc4LeJU%3D\"><\/p>\n<p>Les grands mod\u00e8les de langage (LLM) se sont av\u00e9r\u00e9s efficaces pour r\u00e9pondre \u00e0 des questions g\u00e9n\u00e9riques. Ils peuvent \u00eatre ajust\u00e9s avec des documents propres \u00e0 une entreprise pour r\u00e9pondre \u00e0 des besoins sp\u00e9cifiques, bien que ce processus soit co\u00fbteux en calcul et pr\u00e9sente des limites, comme la mal\u00e9diction de la r\u00e9version, qui diminue la capacit\u00e9 du mod\u00e8le \u00e0 g\u00e9n\u00e9raliser de nouvelles connaissances.<\/p>\n<p>La g\u00e9n\u00e9ration augment\u00e9e par r\u00e9cup\u00e9ration (RAG) offre une m\u00e9thode plus adaptable et \u00e9volutive. RAG se compose d&rsquo;un LLM, d&rsquo;une base de donn\u00e9es de documents et d&rsquo;un mod\u00e8le d&rsquo;incorporation, pr\u00e9servant les informations s\u00e9mantiques via l&rsquo;int\u00e9gration de segments de documents.<\/p>\n<p>Une \u00e9quipe de chercheurs a introduit le cadre Golden Retriever, ciblant la consultation plus efficace des connaissances industrielles. Il am\u00e9liore le processus de questionnement gr\u00e2ce \u00e0 une phase d&rsquo;am\u00e9lioration bas\u00e9e sur la r\u00e9flexion avant la r\u00e9cup\u00e9ration des documents, rectifiant l&rsquo;utilisation du jargon et des acronymes.<\/p>\n<p>Golden Retriever a montr\u00e9 des r\u00e9sultats prometteurs dans des tests avec trois LLM open-source, surpassant les techniques traditionnelles pour extraire des informations pertinentes des vastes bases de donn\u00e9es. Cette approche am\u00e9liore significativement la pr\u00e9cision des informations r\u00e9cup\u00e9r\u00e9es en assurant une compr\u00e9hension claire du contexte et du jargon sp\u00e9cifique au domaine.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Les grands mod\u00e8les de langage (LLM) se sont av\u00e9r\u00e9s efficaces pour r\u00e9pondre \u00e0 des questions g\u00e9n\u00e9riques. Ils peuvent \u00eatre ajust\u00e9s avec des documents propres \u00e0 une entreprise pour r\u00e9pondre \u00e0 des besoins sp\u00e9cifiques, bien que ce processus soit co\u00fbteux en calcul et pr\u00e9sente des limites, comme la mal\u00e9diction de la r\u00e9version, qui diminue la capacit\u00e9 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-220","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Golden Retriever : Un Outil RAG Proactif pour une Navigation et une Interrogation Optimis\u00e9es des Vastres Bases de Connaissances Industrielles - IA &amp; TECHNOLOGIES<\/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:\/\/www.asm15.fr\/index.php\/2024\/08\/15\/golden-retriever-un-outil-rag-proactif-pour-une-navigation-et-une-interrogation-optimisees-des-vastres-bases-de-connaissances-industrielles\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Golden Retriever : Un Outil RAG Proactif pour une Navigation et une Interrogation Optimis\u00e9es des Vastres Bases de Connaissances Industrielles - IA &amp; TECHNOLOGIES\" \/>\n<meta property=\"og:description\" content=\"Les grands mod\u00e8les de langage (LLM) se sont av\u00e9r\u00e9s efficaces pour r\u00e9pondre \u00e0 des questions g\u00e9n\u00e9riques. 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