{"id":10879,"date":"2024-05-22T09:13:21","date_gmt":"2024-05-22T01:13:21","guid":{"rendered":"https:\/\/www.1ai.net\/?p=10879"},"modified":"2024-05-22T09:13:21","modified_gmt":"2024-05-22T01:13:21","slug":"%e8%85%be%e8%ae%af%e9%97%ae%e5%8d%b7%e6%8e%a8%e5%87%baai%e5%8a%9f%e8%83%bd-%e5%b7%b2%e6%8e%a5%e5%85%a5%e8%85%be%e8%ae%af%e6%b7%b7%e5%85%83%e5%a4%a7%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/10879.html","title":{"rendered":"Tencent Questionnaire launches AI function that has been integrated into Tencent Hunyuan Big Model"},"content":{"rendered":"<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%85%be%e8%ae%af%e9%97%ae%e5%8d%b7\" title=\"[Sees articles with labels]\" target=\"_blank\" >Tencent Questionnaire<\/a>Announced the launch of a full-process AI solution based on Tencent<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>, helping companies improve the quality and efficiency of research.<\/p>\n<p>Tencent Questionnaire is an online questionnaire survey platform under Tencent. Its services cover questionnaire surveys, information reporting, online assessments and other work scenarios, helping users collect 3.4 billion questionnaires. Through the access of Tencent Hunyuan Big Model, Tencent Questionnaire can provide AI solutions in the questionnaire design, delivery, collection and analysis links.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-10880\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/05\/6385190427211611751055028.jpg\" alt=\"\" width=\"666\" height=\"439\" \/><\/p>\n<p>In the questionnaire design phase, users can describe their needs in natural language, and AI can generate customized questionnaires and check the quality to improve the filling experience. In the delivery phase, AI can automatically circle samples, deliver, and screen to improve delivery accuracy. After delivery, AI can identify invalid questionnaires and eliminate them, and support one-click generation of analysis reports to improve analysis efficiency.<\/p>\n<p>In addition, AI can also cluster and summarize opinions on subjective text questions, helping to refine the respondents&#039; opinions and improve analysis efficiency.<\/p>\n<p>The AI function of Tencent Questionnaire is based on Tencent Hunyuan Big Model, which has been continuously explored in technology and has been expanded to a trillion scale. It is the first in China to adopt the mixed expert model (MoE) structure, and its overall performance is improved by 50% compared with the previous generation Dense model. Tencent Hunyuan has also achieved results in multimodal capabilities, supporting multiple fields such as raw images, raw videos, and raw 3D. Tencent Hunyuan Big Model has also been fully integrated into Tencent&#039;s collaborative SaaS products to achieve intelligent upgrades.<\/p>","protected":false},"excerpt":{"rendered":"<p>Tencent Questionnaire announced the launch of a full-process AI solution, based on Tencent's hybrid big model, to help enterprises improve the quality and efficiency of research. Tencent questionnaire is Tencent's online questionnaire survey platform, the service covers questionnaire survey, information reporting, online assessment and other work scenes, to help users recover 3.4 billion questionnaires. Through the access of Tencent's hybrid big model, Tencent questionnaire can provide AI solutions in questionnaire design, placement, recovery and analysis. In the questionnaire design process, users can describe their needs in natural language, and AI can generate customized questionnaires and check the quality to improve the filling experience. In the process of delivery, AI can automatically circle the samples, delivery, screening, and improve the accuracy of delivery. After the delivery, AI can identify invalid questionnaires and reject them, and support one-click generation of analysis reports to improve the accuracy of the delivery.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[322,2702],"collection":[],"class_list":["post-10879","post","type-post","status-publish","format-standard","hentry","category-news","tag-322","tag-2702"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/10879","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=10879"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/10879\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=10879"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=10879"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=10879"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=10879"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}