{"id":23174,"date":"2024-11-16T09:36:06","date_gmt":"2024-11-16T01:36:06","guid":{"rendered":"https:\/\/www.1ai.net\/?p=23174"},"modified":"2024-11-16T09:36:06","modified_gmt":"2024-11-16T01:36:06","slug":"%e8%85%be%e8%ae%af%e6%8e%a8%e5%87%ba-ai-%e6%99%ba%e8%83%bd%e5%b7%a5%e4%bd%9c%e5%8f%b0-ima%ef%bc%9aai-%e9%97%ae%e7%ad%94-%e7%94%9f%e5%9b%be%ef%bc%8c%e6%89%93%e9%80%9a%e5%be%ae%e4%bf%a1%e5%85%ac","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/23174.html","title":{"rendered":"Tencent Launches AI Intelligent Workbench ima: AI Q&A \/ Graphic Generation, Breaks Through WeChat Public Number Article Ecology"},"content":{"rendered":"

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Tencent's official public post announced that its AI intelligent workbench ima is now officially on line, in addition to completing the functions of the rest of the big model AI Q&A products (note: Q&A, create text, generate pictures, etc.), but also through the WeChat public number article ecology, the entire public number world of knowledge can be used by the user. Officials claim that users can find quality answers to all industry questions, from introductory to mastery, through ima. ima's system model will comprehensively search the entire network of sources, including public numbers, according to the user's query, combining matching, freshness and other factors to filter the best content, so that the user can get a high-quality answer. ima also supports reading while asking, remembering while searching, and summarizing content, refining key points, and generating mind maps for local materials.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[146],"tags":[4940,2444,323],"collection":[],"class_list":["post-23174","post","type-post","status-publish","format-standard","hentry","category-news","tag-ima","tag-2444","tag-323"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/23174","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=23174"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/23174\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=23174"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=23174"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=23174"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=23174"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}