{"id":10455,"date":"2024-06-21T13:33:18","date_gmt":"2024-06-21T13:33:18","guid":{"rendered":"https:\/\/novelis.io\/?post_type=scientific-pub&#038;p=10455"},"modified":"2024-06-21T13:51:34","modified_gmt":"2024-06-21T13:51:34","slug":"evaluation-comparative-des-modeles-de-langage-open-source-pour-une-reponse-efficace-aux-questions-dans-les-applications-industrielles","status":"publish","type":"scientific-pub","link":"https:\/\/novelis.io\/fr\/scientific-pub\/evaluation-comparative-des-modeles-de-langage-open-source-pour-une-reponse-efficace-aux-questions-dans-les-applications-industrielles\/","title":{"rendered":"\u00c9valuation comparative des mod\u00e8les de langage open-source pour une r\u00e9ponse efficace aux questions dans les applications industrielles"},"content":{"rendered":"\n<p>D\u00e9couvrez la premi\u00e8re version de notre publication scientifique \u00ab\u00a0\u00c9valuation comparative des mod\u00e8les de langage open-source pour une r\u00e9ponse efficace aux questions dans les applications industrielles\u00a0\u00bb publi\u00e9e dans <a href=\"https:\/\/arxiv.org\/abs\/2406.13713\" target=\"_blank\" rel=\"noopener\">arxiv<\/a> et soumise \u00e0 la revue <strong>Engineering Applications of Artificial Intelligence.<\/strong> Cet article, r\u00e9dig\u00e9 en anglais, est d\u00e9j\u00e0 disponible au public.<\/p>\n\n\n\n<p>Merci \u00e0 <a href=\"https:\/\/novelis.io\/fr\/laboratoire-rd\/\">l&rsquo;\u00e9quipe de recherche de Novelis<\/a> pour leur savoir-faire et leur expertise.<\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/arxiv.org\/abs\/2406.13713\" target=\"_blank\" rel=\"noopener\">Aller sur arXiv<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">A propos<\/h2>\n\n\n\n<p>In the rapidly evolving landscape of Natural Language Processing (NLP),Large Language Models (LLMs) have demonstrated remarkable capabilitiesin tasks such as question answering (QA). However, the accessibility andpracticality of utilizing these models for industrial applications pose signif-icant challenges, particularly concerning cost-effectiveness, inference speed,and resource efficiency. This paper presents a comprehensive benchmarkingstudy comparing open-source LLMs with their non-open-source counterpartson the task of question answering. Our objective is to identify open-source al-ternatives capable of delivering comparable performance to proprietary mod-els while being lightweight in terms of resource requirements and suitable forCentral Processing Unit (CPU)-based inference. Through rigorous evalua-tion across various metrics including accuracy, inference speed, and resourceconsumption, we aim to provide insights into selecting efficient LLMs forreal-world applications. Our findings shed light on viable open-source al-ternatives that offer acceptable performance and efficiency, addressing thepressing need for accessible and efficient NLP solutions in industry settings.<\/p>\n\n\n\n<p><strong>arXiv est une archive ouverte de pr\u00e9publications \u00e9lectroniques d&rsquo;articles scientifiques dans diff\u00e9rents domaines techniques, tels que la physique, les math\u00e9matiques, l&rsquo;informatique et bien plus encore, gratuitement accessible par Internet.<\/strong><\/p>\n","protected":false},"featured_media":10453,"template":"","categories":[24],"custom_tag":[455,460,165],"class_list":["post-10455","scientific-pub","type-scientific-pub","status-publish","has-post-thumbnail","hentry","category-publication-scientifique","custom_tag-llm","custom_tag-llm-fr","custom_tag-nlp-fr"],"acf":{"externel_link":"","summary":"","filter_opacity":"70","subtitle":"","reading_time":"","authors":"","document_to_download":{"upload_a_file":true,"download_without_form":true,"file":{"ID":10450,"id":10450,"title":"Benchmarking Open-Source Language Models for Efficient Question Answering in Industrial Applications","filename":"Benchmarking-Open-Source-Language-Models-for-Efficient-Question-Answering-in-Industrial-Applications.pdf","filesize":413640,"url":"https:\/\/novelis.io\/wp-content\/uploads\/2024\/06\/Benchmarking-Open-Source-Language-Models-for-Efficient-Question-Answering-in-Industrial-Applications.pdf","link":"https:\/\/novelis.io\/fr\/scientific-pub\/evaluation-comparative-des-modeles-de-langage-open-source-pour-une-reponse-efficace-aux-questions-dans-les-applications-industrielles\/benchmarking-open-source-language-models-for-efficient-question-answering-in-industrial-applications-2\/","alt":"","author":"10","description":"","caption":"","name":"benchmarking-open-source-language-models-for-efficient-question-answering-in-industrial-applications-2","status":"inherit","uploaded_to":10455,"date":"2024-06-21 12:48:54","modified":"2024-06-21 13:28:31","menu_order":0,"mime_type":"application\/pdf","type":"application","subtype":"pdf","icon":"https:\/\/novelis.io\/wp-includes\/images\/media\/document.png"},"url":""},"show_recent_block_on_the_bottom_of_the_page":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u00c9valuation comparative des mod\u00e8les de langage open-source pour une r\u00e9ponse efficace aux questions dans les applications industrielles<\/title>\n<meta name=\"description\" content=\"Nouvelle publication scientifique &quot;\u00c9valuation comparative des mod\u00e8les de langage open-source pour une r\u00e9ponse efficace aux questions dans les applications industrielles&quot; publi\u00e9e sur arxiv.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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