{"id":77540,"date":"2019-08-28T14:00:15","date_gmt":"2019-08-28T14:00:15","guid":{"rendered":"https:\/\/\/nvidia-presente-une-plateforme-ia-capable-de-converser-en-temps-reel\/"},"modified":"2019-08-28T14:00:15","modified_gmt":"2019-08-28T14:00:15","slug":"nvidia-presente-une-plateforme-ia-capable-de-converser-en-temps-reel","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/nvidia-presente-une-plateforme-ia-capable-de-converser-en-temps-reel\/","title":{"rendered":"Nvidia pr\u00e9sente une plateforme IA capable de converser en temps r\u00e9el"},"content":{"rendered":"<p><span class=\"tlid-translation translation\" lang=\"fr\">La soci\u00e9t\u00e9 a annonc\u00e9 que sa plate-forme d&rsquo;intelligence artificielle ( IA ) \u00e9tait la premi\u00e8re \u00e0 pouvoir apprendre l&rsquo;un des mod\u00e8les des langages d&rsquo;intelligence artificielle les plus avanc\u00e9s &#8211; BERT (<\/span>Bidirectional Encoder Representations from Transformers<span class=\"tlid-translation translation\" lang=\"fr\">) &#8211; en moins d&rsquo;une heure et r\u00e9aliser une inf\u00e9rence compl\u00e8te d&rsquo;intelligence artificielle en un peu plus de 2 millisecondes. Un niveau de performance qui permet aux d\u00e9veloppeurs d\u2019utiliser une compr\u00e9hension linguistique de pointe pour des applications \u00e0 grande \u00e9chelle pouvant \u00eatre mises \u00e0 la disposition de centaines de millions de consommateurs \u00e0 travers le monde.<\/span><\/p>\n<p><span class=\"tlid-translation translation\" lang=\"fr\">Bien que les services d&rsquo;IA conversationnels limit\u00e9s ne soient pas nouveaux, jusqu&rsquo;\u00e0 pr\u00e9sent, il \u00e9tait extr\u00eamement difficile pour les chatbots, les assistants personnels intelligents et les moteurs de recherche de fonctionner avec un niveau de compr\u00e9hension humaine, en raison de l&rsquo;incapacit\u00e9 de d\u00e9ployer des mod\u00e8les d&rsquo;IA extr\u00eamement volumineux en temps r\u00e9el. La soci\u00e9t\u00e9 affirme avoir r\u00e9solu ce probl\u00e8me en ajoutant des optimisations cl\u00e9s \u00e0 sa plate-forme d&rsquo;intelligence artificielle: atteindre des records de vitesse dans l&rsquo;apprentissage et l&rsquo;inf\u00e9rence en intelligence artificielle et construire le plus grand mod\u00e8le linguistique du genre \u00e0 ce jour.<\/span><\/p>\n<p><span class=\"tlid-translation translation\" lang=\"fr\">\u00ab\u00a0Les grands mod\u00e8les linguistiques r\u00e9volutionnent l&rsquo;IA pour le langage naturel\u00a0\u00bb, d\u00e9clare Bryan Catanzaro, vice-pr\u00e9sident de la recherche appliqu\u00e9e sur l&rsquo;apprentissage approfondi chez Nvidia. \u00ab\u00a0Ils nous aident \u00e0 r\u00e9soudre des probl\u00e8mes linguistiques exceptionnellement difficiles, nous rapprochant ainsi de l&rsquo;objectif de l&rsquo;IA v\u00e9ritablement conversationnelle. Le travail novateur de Nvidia, acc\u00e9l\u00e9rant ces mod\u00e8les, permet aux organisations de cr\u00e9er de nouveaux services \u00e0 la pointe de la technologie pouvant assister et \u00e9merveiller leurs clients de fa\u00e7onsjamais imagin\u00e9e auparavant. \u00ab\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><span class=\"tlid-translation translation\" lang=\"fr\">La soci\u00e9t\u00e9 affirme avoir optimis\u00e9 sa plate-forme d&rsquo;IA avec des optimisations cl\u00e9s qui ont abouti \u00e0 trois nouveaux records dans la compr\u00e9hension du langage naturel:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><span class=\"tlid-translation translation\" lang=\"fr\">&nbsp;&nbsp;&nbsp; L&rsquo;apprentissage le plus rapide: avec la version longue de BERT, l&rsquo;un des mod\u00e8les de langage d&rsquo;intelligence artificielle les plus avanc\u00e9s au monde, un SuperPOD Nvidia DGX utilisant 92 syst\u00e8mes Nvidia DGX-2H avec 1 472 GPU Nvidia V100, le temps d&rsquo;apprentissage typique de BERT-Large a \u00e9t\u00e9 r\u00e9duit de plusieurs jours \u00e0 tout juste 53 minutes. De plus, Nvidia a aussi form\u00e9 BERT-Large sur un seul syst\u00e8me Nvidia DGX-2 en 2,8 jours &#8211; d\u00e9montrant ainsi l\u2019\u00e9volutivit\u00e9 des GPU Nvidia pour l\u2019IA conversationnelle.<\/span><\/li>\n<li><span class=\"tlid-translation translation\" lang=\"fr\">Inf\u00e9rence la plus rapide: En utilisant les GPU Nvidia T4 ex\u00e9cutant Nvidia TensorRT, Nvidia a r\u00e9alis\u00e9 l&rsquo;inf\u00e9rence sur le jeu de donn\u00e9es BERT-Base SQuAD en seulement 2,2 millisecondes &#8211; bien en de\u00e7\u00e0 du seuil de traitement de 10 ms pour de nombreuses applications en temps r\u00e9el, et une nette am\u00e9lioration par rapport \u00e0 40 millisecondes mesur\u00e9es<\/span><\/li>\n<li><span class=\"tlid-translation translation\" lang=\"fr\">Mod\u00e8le le plus vaste: En se concentrant sur le besoin sans cesse croissant des d\u00e9veloppeurs pour des mod\u00e8les plus volumineux, Nvidia Research a construit et form\u00e9 le plus grand mod\u00e8le de langage au monde bas\u00e9 sur Transformers, le module de technologie utilis\u00e9 pour BERT et un nombre croissant d&rsquo;autres mod\u00e8les d&rsquo;IA en langage naturel. Le mod\u00e8le personnalis\u00e9 de Nvidia, avec 8,3 milliards de param\u00e8tres, est 24 fois plus grand que BERT-Large.<\/span><\/li>\n<\/ul>\n<p><span class=\"tlid-translation translation\" lang=\"fr\">La soci\u00e9t\u00e9 a mis ses optimisations logicielles \u00e0 la disposition des d\u00e9veloppeurs. Des optimisations continues pour acc\u00e9l\u00e9rer la formation de BERT et de Transformer pour les GPU sur plusieurs frameworks sont disponibles gratuitement sur NGC, le hub de la soci\u00e9t\u00e9 pour les logiciels acc\u00e9l\u00e9r\u00e9s. Le r\u00e9f\u00e9rentiel BERT GitHub de Nvidia offre le code permettant de reproduire les performances d&rsquo;apprentissage sur n\u0153ud unique cit\u00e9 par la soci\u00e9t\u00e9, et il sera prochainement mis \u00e0 jour avec les scripts n\u00e9cessaires pour reproduire les chiffres de performances d&rsquo;apprentissage \u00e0 grande \u00e9chelle cit\u00e9 plus haut.<\/span><\/p>\n<p><span class=\"tlid-translation translation\" lang=\"fr\">Pour consulter le code de traitement du langage naturel (NLP) de l\u2019\u00e9quipe de Nvidia Research sur le projet Megatron, lanc\u00e9 par la soci\u00e9t\u00e9 afin d\u2019\u00e9tudier les r\u00e9seaux de plus d\u2019un milliard bas\u00e9s sur Transformer, visitez le r\u00e9f\u00e9rentiel <\/span><a href=\"https:\/\/github.com\/nvidia\/megatron-lm\">Megatron Language Model GitHub<\/a><span class=\"tlid-translation translation\" lang=\"fr\">.<\/span><\/p>\n<p>\u00e0 lire \u00e9galement:<\/p>\n<p><a href=\"https:\/\/www.electronique-eci.com\/news\/cerebras-met-1200-milliards-de-transistors-sur-une-puce-ia\">Cerebras met 1200 milliards de transistors sur une puce IA<\/a><\/p>\n<p><a href=\"https:\/\/www.electronique-eci.com\/news\/nvidia-lance-un-module-ia-99-offrant-472-gflops\">Nvidia lance un module IA \u00e0 $99 offrant 472 GFLOPS <\/a><\/p>\n<p><a href=\"https:\/\/www.electronique-eci.com\/news\/nvidia-rachete-mellanox-pour-69-milliards\">Nvidia rach\u00e8te Mellanox pour $6.9 milliards <\/a><\/p>\n<p><a href=\"https:\/\/www.electronique-eci.com\/news\/super-ordinateur-europeen-base-sur-des-modules-atos\">Super-ordinateur europ\u00e9en bas\u00e9 sur des modules ATOS <\/a><\/p>\n<p><a href=\"https:\/\/www.nvidia.com\/en-us\/\">Nvidia<\/a><\/p>\n<p><b>Related articles:<\/b><br \/>\n<a href=\"https:\/\/www.smart2zero.com\/news\/conversational-ai-platform-offers-out-box-configurations\">Conversational AI platform offers out-of-the-box configurations<\/a><br \/>\n<a href=\"https:\/\/www.smart2zero.com\/news\/microsoft-buys-conversational-ai-startup\">Microsoft buys conversational AI startup<\/a><br \/>\n<a href=\"https:\/\/www.smart2zero.com\/news\/microsoft-nabs-another-chatbot-startup\">Microsoft nabs another chatbot startup<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>La soci\u00e9t\u00e9 de technologies \u00e9lectroniques Nvidia (Santa Clara, Californie), sp\u00e9cialis\u00e9e dans les unit\u00e9s de traitement graphique (GPU), a annonc\u00e9 des avanc\u00e9es d\u00e9cisives dans la compr\u00e9hension du langage permettant une intelligence artificielle conversationnelle en temps r\u00e9el.<\/p>\n","protected":false},"author":22,"featured_media":77541,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[883],"tags":[920,912,895,896,897,919,906,908,910,917],"domains":[47],"ppma_author":[1149],"class_list":["post-77540","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies","tag-artificialintelligence-fr","tag-dataacquisition-fr","tag-developmentkits-fr","tag-digitalsignalprocessing-fr","tag-displays-interfaces-fr","tag-iot-fr","tag-mpus-mcus-fr","tag-plds-fpgas-asics-fr","tag-sensing-conditioning-fr","tag-software-embedded-tools-fr","domains-electronique-eci"],"acf":[],"yoast_head":"<title>Nvidia pr\u00e9sente une plateforme IA capable de converser en temp...<\/title>\n<meta name=\"description\" content=\"La soci\u00e9t\u00e9 de technologies \u00e9lectroniques Nvidia (Santa Clara, Californie), 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