{"id":34375,"date":"2025-04-30T11:25:47","date_gmt":"2025-04-30T03:25:47","guid":{"rendered":"https:\/\/www.1ai.net\/?p=34375"},"modified":"2025-04-30T11:25:47","modified_gmt":"2025-04-30T03:25:47","slug":"%e6%b6%88%e6%81%af%e7%a7%b0%e8%85%be%e8%ae%af%e9%87%8d%e6%9e%84%e6%b7%b7%e5%85%83%e5%a4%a7%e6%a8%a1%e5%9e%8b%e7%a0%94%e5%8f%91%e4%bd%93%e7%b3%bb%ef%bc%8c%e5%8a%a0%e5%a4%a7-ai-%e6%8a%95%e5%85%a5","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/34375.html","title":{"rendered":"Tencent reconstructs hybrid big model R&amp;D system, increases AI investment, sources say"},"content":{"rendered":"<p>According to an April 29 report by Interface News<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%85%be%e8%ae%af\" title=\"[View articles tagged with [Tencent]]\" target=\"_blank\" >Tencent<\/a>for its<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%b7%b7%e5%85%83%e5%a4%a7%e6%a8%a1%e5%9e%8b\" title=\"[Sees articles with labels of [mixed model]\" target=\"_blank\" >Hunyuan Large Model<\/a>The R&amp;D system has been comprehensively reorganized, mainly focusing on the three core segments of arithmetic, algorithms and data, to promote the continuous development of the hybrid big model by optimizing team deployment and ramping up R&amp;D investment.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/03\/202309071139000461_0.jpg\" alt=\"Tencent&#039;s fourth quarter revenue was 155.196 billion yuan: Hunyuan Big Model has been tested in more than 400 businesses\" \/><\/p>\n<p>According to reports, Tencent set up two new departments after this adjustment: the Department of Large Language Models and the Department of Multimodal Models, which are responsible for exploring the cutting-edge technologies of large language models and multimodal large models, continuously iterating the basic model, and improving the model capability. At the same time to further strengthen the big model data capabilities and platform base construction, in which the data platform department focuses on the whole process of big model data management and construction, the machine learning platform department focuses on the machine learning and big data fusion platform construction, to provide a comprehensive and efficient PaaS platform base for the AI model training inference, big data business, and jointly support the Tencent hybrid big model technology research and development.<\/p>\n<p>According to 1AI inquiry, Tencent's hybrid big model has been deployed in more than 700 internal scenarios, facilitating growth in several business areas. At the same time, Tencent is actively integrating cutting-edge open source ecosystems, and Tencent's hybrid big model has been fully open sourced in 2024.<\/p>","protected":false},"excerpt":{"rendered":"<p>According to an April 29 report by Interface News, Tencent has carried out a comprehensive restructuring of its hybrid big model research and development system, mainly focusing on the three core sectors of arithmetic, algorithms, and data, and promoting the continuous development of the hybrid big model by optimizing the deployment of the team and increasing R&amp;D investment. According to reports, Tencent set up two new departments after this restructuring: the Department of Large Language Models and the Department of Multimodal Models, which are responsible for exploring the cutting-edge technologies of large language models and multimodal large models respectively, continuously iterating the basic models, and improving the modeling capabilities. At the same time to further strengthen the big model data capabilities and platform base construction, in which the data platform department focuses on the whole process of big model data management and construction, the machine learning platform department focuses on the machine learning and big data fusion platform construction, for AI model training and reasoning, big data business to provide a comprehensive and efficient pa<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[322,323],"collection":[],"class_list":["post-34375","post","type-post","status-publish","format-standard","hentry","category-news","tag-322","tag-323"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/34375","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=34375"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/34375\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=34375"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=34375"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=34375"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=34375"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}