{"id":23602,"date":"2024-11-22T02:26:37","date_gmt":"2024-11-21T18:26:37","guid":{"rendered":"https:\/\/www.1ai.net\/?p=23602"},"modified":"2024-11-21T22:27:50","modified_gmt":"2024-11-21T14:27:50","slug":"%e6%9d%8e%e5%bd%a6%e5%ae%8f%ef%bc%9a%e7%99%be%e5%ba%a6%e5%b0%86%e4%ba%8e-2025-%e5%b9%b4%e5%88%9d%e5%8f%91%e5%b8%83%e6%96%b0%e7%89%88%e6%96%87%e5%bf%83%e5%a4%a7%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/23602.html","title":{"rendered":"Robin Li: Baidu to Release New Version of Wenxin Big Model in Early 2025"},"content":{"rendered":"<p>According to Sina Tech, the<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e7%99%be%e5%ba%a6\" title=\"[Sees articles containing [100 degrees] labels]\" target=\"_blank\" >Baidu<\/a> Baidu Founder, Chairman and CEO on Q3 2024 Earnings Call<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%9d%8e%e5%bd%a6%e5%ae%8f\" title=\"_Other Organiser\" target=\"_blank\" >Robin Li<\/a>disclose,<strong>Baidu to release in early 2025<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%96%87%e5%bf%83%e5%a4%a7%e6%a8%a1%e5%9e%8b\" title=\"[Sees articles with labels]\" target=\"_blank\" >Wenxin Large Model<\/a>'s new release to consolidate its leadership in basic modeling.<img decoding=\"async\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/04\/202306271640229861_0.jpg\" alt=\"Baidu officially releases Wenxin Big Model 4.0 tool version\" \/><\/strong><\/p>\n<p>Robin Li said that thanks to the enhanced capabilities, wide application and cost efficiency of the Wenxin big model, the average daily call volume of the Wenxin big model has increased significantly, reaching 1.5 billion times in November, and the average daily processing of Tokens text is more than 1.7 trillion; compared with the 50 million daily calls first disclosed a year ago, an increase of 30 times.<\/p>\n<p>During the quarter, Baidu continued to iterate on the capabilities of Wenxin's big models and optimize model efficiency. Based on the optimization of the self-developed four-layer AI technology stack, the inference efficiency of the flagship model Wenxin 4.0 Turbo was significantly improved, the<strong>Model performance has increased by 48% since the June release.<\/strong><\/p>\n<p>Today Baidu released its Q3 2024 financial report, showing quarterly total revenue of 33.6 billion yuan, Baidu's core revenue of 26.5 billion yuan, and net income attributable to Baidu's core of 7.54 billion yuan, a year-on-year increase of 17%, which exceeded market expectations.<\/p>","protected":false},"excerpt":{"rendered":"<p>According to Sina Technology, during Baidu's Q3 2024 earnings call, Robin Li, Baidu's Founder, Chairman and CEO, revealed that Baidu will release a new version of the Wenshin Big Model in early 2025 to consolidate its leadership in the underlying model. Robin Li said that thanks to the enhanced capabilities, widespread application and improved cost efficiency of the Wenshin Big Model, the average daily call volume of the Wenshin Big Model has increased dramatically, reaching 1.5 billion in November, with an average daily processing of Tokens text of more than 1.7 trillion; a 30-fold increase compared to the 50 million daily calls first disclosed a year ago. During the quarter, Baidu continued to iterate the ability of the big model of the heart of the text and optimize the efficiency of the model. Based on the self-developed four-layer artificial intelligence technology stack optimization, the flagship model Wenxin<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[272,228,234],"collection":[],"class_list":["post-23602","post","type-post","status-publish","format-standard","hentry","category-news","tag-272","tag-228","tag-234"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/23602","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=23602"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/23602\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=23602"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=23602"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=23602"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=23602"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}