{"id":28944,"date":"2025-02-17T20:00:59","date_gmt":"2025-02-17T12:00:59","guid":{"rendered":"https:\/\/www.1ai.net\/?p=28944"},"modified":"2025-02-17T20:00:59","modified_gmt":"2025-02-17T12:00:59","slug":"%e8%85%be%e8%ae%af%e5%85%83%e5%ae%9d%e3%80%81%e5%be%ae%e4%bf%a1%e3%80%81ima%e3%80%81qq-%e6%b5%8f%e8%a7%88%e5%99%a8%e7%ad%89%e4%ba%a7%e5%93%81%e6%8e%a5%e5%85%a5-deepseek-r1-%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/28944.html","title":{"rendered":"Tencent Yuanbao, WeChat, ima, QQ Browser and other products access the DeepSeek-R1 model"},"content":{"rendered":"<p>February 17, 2011 - Shenzhen<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%85%be%e8%ae%af\" title=\"[View articles tagged with [Tencent]]\" target=\"_blank\" >Tencent<\/a>Computer Systems Ltd. today announced in an official release that its Tencent Yuanbao, WeChat, ima, Tencent Documents, QQ Browser, QQ Music and many other products, while accessing the hybrid large model of the <a href=\"https:\/\/www.1ai.net\/en\/tag\/deepseek\" title=\"[View articles tagged with [DeepSeek]]\" target=\"_blank\" >DeepSeek<\/a>-R1 model.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-28945\" title=\"75dbde83j00srttcx0111d000v900hkp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/02\/75dbde83j00srttcx0111d000v900hkp.jpg\" alt=\"75dbde83j00srttcx0111d000v900hkp\" width=\"1125\" height=\"632\" \/><\/p>\n<p>Details of Tencent's access to DeepSeek products are as follows:<\/p>\n<p>Tencent Yuanbao Access R1, T1 Models<\/p>\n<blockquote>\n<ul>\n<li>Tencent's AI assistant, Tencent Yuanbao, now supports free use of DeepSeek-R1 full-blooded models.<strong>Hybrid Deep Thinking Model T1 (Thinker)<\/strong>It is also live at meta, providing a test experience where users can choose different models to solve complex problems.<\/li>\n<li>Compared to traditional generative models (fast-thinking models), Hunyuan T1 and DeepSeek R1, a class of inference models (slow-thinking models), have better performance on complex question answering.<\/li>\n<\/ul>\n<\/blockquote>\n<ul>\n<li>Experience Entrance: Tencent Yuanbao Webpage and App<\/li>\n<\/ul>\n<p>WeChat Gray Scale Tests 'AI Search'<\/p>\n<blockquote>\n<ul>\n<li>WeChat Search is being<strong>Grayscale test<\/strong>Access to DeepSeek, online \"AI Search\" portal, users can use DeepSeek-R1 full-blooded version of the model for free.<\/li>\n<\/ul>\n<\/blockquote>\n<ul>\n<li>Entry Location: Search at the top of WeChat dialog box, click \"AI Search\".<\/li>\n<\/ul>\n<p>ima accesses DeepSeek<\/p>\n<blockquote>\n<ul>\n<li>Tencent's AI intelligent workbench, ima.copilot (ima for short), updated to the latest version, when using Search, Read, Write and Knowledge Base<strong>You can choose between the Tencent hybrid model or the DeepSeek-R1 full-blooded version of the model.<\/strong>.<\/li>\n<\/ul>\n<\/blockquote>\n<ul>\n<li>Experience Portal: ima Windows, Mac, Applet<\/li>\n<\/ul>\n<p>Tencent Document Access DeepSeek<\/p>\n<blockquote>\n<ul>\n<li>Tencent Document's\u00a0<strong>AI Documentation Assistant<\/strong>It has been combined with DeepSeek-R1 full-blooded model to directly generate documents, tables, slides, mind maps, and smart documents to help users further think and create.<\/li>\n<\/ul>\n<\/blockquote>\n<ul>\n<li>Experience Entrance: Tencent Document Small Program, Web AI Full Screen Page, Mobile, Desktop<\/li>\n<\/ul>\n<p>QQ Browser Access to DeepSeek<\/p>\n<blockquote>\n<ul>\n<li>QQ Browser officially accesses the full-blooded version of the DeepSeek-R1 model.<strong>Supports deep thinking, networked search, multi-round conversations, and history tracking back<\/strong>.<\/li>\n<li>The App also supports searching, translating, taking notes, and exporting to PDF and Word, so you can ask questions, process information, and store it in the same interface.<\/li>\n<\/ul>\n<\/blockquote>\n<ul>\n<li>Experience entrance: mobile or computer QQ browser search \"DeepSeek\", click on the QQ browser line version, login to use for free!<\/li>\n<\/ul>\n<p>QQ Music access to DeepSeek<\/p>\n<blockquote>\n<ul>\n<li>QQ Music has already integrated DeepSeek-R1. Based on DeepSeek-R1's in-depth thinking, QQ Music's AI assistants provide more accurate and comprehensive music responses in song content recommendations, music knowledge quizzes and celebrity information searches.<\/li>\n<li>at the same time,<strong>Self-developed large models of songwriting are also being tested and deployed Deepseek<\/strong>In the future, we will provide users with richer music creation inspiration and AI one-stop experience for music creation.<\/li>\n<\/ul>\n<\/blockquote>\n<ul>\n<li>Experience Entrance: QQ Music App<\/li>\n<\/ul>\n<p>Other Product Access DeepSeek<\/p>\n<blockquote>\n<ul>\n<li>Tencent AI Code Assistant, Tencent Metacraft, Tencent Lexin, Tencent Maps, Tencent Cloud TI Platform, Tencent Cloud Big Model Knowledge Engine, Tencent Cloud Intelligent Computing, and Tencent Cloud Developer have also been connected to DeepSeek.<\/li>\n<\/ul>\n<\/blockquote>","protected":false},"excerpt":{"rendered":"<p>On February 17, an official communication from Shenzhen City Telecommunications Computer Systems Ltd. announced today that multiple products, such as betels, tweets, ima, telecommunication files, QQQ browsers, QQQ music, were also connected to the DeepSeek-R1 model in conjunction with the Magnificent Model. The details of the DeepSeek product are as follows: The hybrid deep-thinking model T1 (Thinker) is also online, providing a test experience that allows users to choose different models to solve complex problems. Comparison of traditional generation models (Quick Think models), Huny<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[3606,323],"collection":[],"class_list":["post-28944","post","type-post","status-publish","format-standard","hentry","category-news","tag-deepseek","tag-323"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/28944","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=28944"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/28944\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=28944"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=28944"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=28944"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=28944"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}