Soci\u00e9t\u00e9 de conseil internationale McKinsey<\/a> ont \u00e9clair\u00e9 les caract\u00e9ristiques de la technologie et les possibilit\u00e9s de son application pratique.<\/p>\nLes services logiciels ChatGPT et DALL-E sont les outils les plus brillants et les plus populaires d\u00e9velopp\u00e9s sur la base de l\u2019apprentissage machine. L\u2019apprentissage machine est une classe de m\u00e9thodes d\u2019intelligence artificielle dont la caract\u00e9ristique n\u2019est pas la solution directe d\u2019un probl\u00e8me, mais l\u2019apprentissage en appliquant des solutions \u00e0 de nombreux probl\u00e8mes similaires sans intervention humaine. Jusqu\u2019\u00e0 r\u00e9cemment, l\u2019apprentissage machine \u00e9tait largement limit\u00e9 aux mod\u00e8les pr\u00e9dictifs utilis\u00e9s pour observer et classer les mod\u00e8les dans le contenu. L\u2019IA g\u00e9n\u00e9rative a \u00e9t\u00e9 une perc\u00e9e. La technologie non seulement analyse et classe les informations, mais cr\u00e9e \u00e9galement du contenu visuel ou textuel.<\/p>\n
La construction d\u2019un mod\u00e8le d\u2019IA g\u00e9n\u00e9rative est devenue possible gr\u00e2ce \u00e0 l\u2019augmentation de la puissance de calcul et \u00e0 la quantit\u00e9 de stockage de donn\u00e9es disponible. ChatGPT a \u00e9t\u00e9 form\u00e9 sur 45 t\u00e9raoctets de donn\u00e9es textuelles pour un co\u00fbt estim\u00e9 \u00e0 plusieurs millions de dollars am\u00e9ricains. Les outils g\u00e9n\u00e9ratifs peuvent cr\u00e9er une grande vari\u00e9t\u00e9 de textes, puis r\u00e9pondre aux critiques pour rendre le texte plus adapt\u00e9 \u00e0 son objectif. Parmi les principaux risques figure la cr\u00e9ation de contenus factuellement incorrects et biais\u00e9s en raison de la grande quantit\u00e9 d\u2019informations erron\u00e9es et biais\u00e9es sur Internet. Pour att\u00e9nuer les risques existants il est n\u00e9cessaire de s\u00e9lectionner avec soin les donn\u00e9es initiales utilis\u00e9es pour former ces mod\u00e8les, d\u2019utiliser des mod\u00e8les d\u2019IA sp\u00e9cialis\u00e9s et d\u2019\u00e9viter d\u2019utiliser des mod\u00e8les d\u2019IA g\u00e9n\u00e9ratifs pour prendre des d\u00e9cisions importantes.<\/p>\n","protected":false},"excerpt":{"rendered":"
L\u2019intelligence artificielle g\u00e9n\u00e9rative (IA) est un sous-type d\u2019IA responsable de la cr\u00e9ation de nouveaux contenus originaux. Les experts de la Soci\u00e9t\u00e9 de conseil internationale McKinsey ont \u00e9clair\u00e9 les caract\u00e9ristiques de la technologie et les possibilit\u00e9s de son application pratique. Les services logiciels ChatGPT et DALL-E sont les outils les plus brillants et les plus populaires […]<\/p>\n","protected":false},"author":206,"featured_media":28673,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","footnotes":""},"categories":[287],"tags":[842,966],"class_list":["post-29798","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nouvelles","tag-it-et-analyse-de-donnees","tag-technologies-numeriques","pmpro-has-access"],"acf":[],"yoast_head":"\n
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