{"id":9086,"date":"2025-07-16T08:10:26","date_gmt":"2025-07-16T08:10:26","guid":{"rendered":"https:\/\/www.cogainav.com\/?post_type=listivo_listing&#038;p=9086"},"modified":"2025-07-03T08:16:39","modified_gmt":"2025-07-03T08:16:39","slug":"energetique","status":"publish","type":"listivo_listing","link":"https:\/\/www.cogainav.com\/fr\/inscription\/energetique\/","title":{"rendered":"EnergeticAI"},"content":{"rendered":"EnergeticAI est une version optimis\u00e9e de TensorFlow.js, sp\u00e9cialement con\u00e7ue pour les environnements sans serveur. Les mod\u00e8les d&#039;IA traditionnels sont souvent complexes et lents \u00e0 initialiser, notamment pour les fonctions sans serveur o\u00f9 les performances au d\u00e9marrage \u00e0 froid sont cruciales. EnergeticAI rel\u00e8ve ces d\u00e9fis en optimisant la vitesse de d\u00e9marrage \u00e0 froid tout en minimisant la taille des modules, garantissant ainsi que vos mod\u00e8les d&#039;IA sont op\u00e9rationnels d\u00e8s que vous en avez besoin.\r\n\r\n \r\n<ul class=\"wp-block-list\">\r\n \t<li>\u200c<strong>Performances de d\u00e9marrage \u00e0 froid rapides<\/strong>\u200c: L&#039;un des principaux avantages d&#039;EnergeticAI est sa rapidit\u00e9 de d\u00e9marrage \u00e0 froid. Dans les architectures sans serveur, o\u00f9 les fonctions sont mises \u00e0 l&#039;\u00e9chelle \u00e0 la demande, minimiser le temps d&#039;initialisation est essentiel pour optimiser les performances et la rentabilit\u00e9.<\/li>\r\n \r\n \t<li>\u200c<strong>Petite taille de module<\/strong>\u200c: En mettant l&#039;accent sur l&#039;efficacit\u00e9, EnergeticAI propose des tailles de modules compactes, ce qui facilite le d\u00e9ploiement et la gestion des mod\u00e8les d&#039;IA dans des environnements contraints.<\/li>\r\n \r\n \t<li>\u200c<strong>Mod\u00e8les pr\u00e9-entra\u00een\u00e9s<\/strong>\u200c:EnergeticAI est livr\u00e9 avec une suite de mod\u00e8les pr\u00e9-entra\u00een\u00e9s pour diverses t\u00e2ches, telles que les int\u00e9grations, la classification et la recherche s\u00e9mantique, vous permettant de d\u00e9marrer imm\u00e9diatement sans avoir besoin de donn\u00e9es d&#039;entra\u00eenement ou de ressources de calcul \u00e9tendues.<\/li>\r\n<\/ul>\r\n<!-- \/wp:post-content -->\r\n<div id=\"gtx-trans\" style=\"position: absolute; left: 173px; top: 91.9125px;\">\r\n<div class=\"gtx-trans-icon\"><\/div>\r\n<\/div>","protected":false},"author":1,"template":"","listivo_14":[432,435],"listivo_8605":"","listivo_8606":[""],"class_list":["post-9086","listivo_listing","type-listivo_listing","status-publish","hentry","listivo_14-ai-models","listivo_14-ai-programming-tools","listivo_8605-free","listivo_8606-api"],"listivo_145":["https:\/\/www.cogainav.com\/wp-content\/uploads\/2025\/07\/EnergeticAI.webp"],"listivo_8661":"https:\/\/energeticai.org\/","_links":{"self":[{"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listings\/9086","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listings"}],"about":[{"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/types\/listivo_listing"}],"author":[{"embeddable":true,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":1,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listings\/9086\/revisions"}],"predecessor-version":[{"id":9089,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listings\/9086\/revisions\/9089"}],"wp:attachment":[{"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/media?parent=9086"}],"wp:term":[{"taxonomy":"listivo_14","embeddable":true,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listivo_14?post=9086"},{"taxonomy":"listivo_8605","embeddable":true,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listivo_8605?post=9086"},{"taxonomy":"listivo_8606","embeddable":true,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listivo_8606?post=9086"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}