{"id":20465,"date":"2024-09-23T10:25:15","date_gmt":"2024-09-23T02:25:15","guid":{"rendered":"https:\/\/www.1ai.net\/?p=20465"},"modified":"2024-09-23T10:25:15","modified_gmt":"2024-09-23T02:25:15","slug":"%e7%9f%a5%e7%bd%91%e5%8d%8e%e7%9f%a5%e5%a4%a7%e6%a8%a1%e5%9e%8b5-0%e5%8f%91%e5%b8%83%ef%bc%9a%e9%80%82%e7%94%a8%e5%9c%ba%e6%99%af%e6%9b%b4%e5%85%a8%e9%9d%a2%e3%80%81%e6%8e%a8%e7%90%86%e8%83%bd","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/20465.html","title":{"rendered":"Knowledge Network Huaji Big Model 5.0 Released: More Comprehensive Applicable Scenarios, More Powerful Reasoning Ability"},"content":{"rendered":"<p>With the theme of \"Digital Intelligence Coexistence, Industry Win-Win\", the<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%8d%8e%e7%9f%a5%e5%a4%a7%e6%a8%a1%e5%9e%8b\" title=\"Look at the article that contains the label\" target=\"_blank\" >Hwachidai Model<\/a>The Industry Application Seminar was held on September 21st in Shanghai and was organized by Tongfang.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e7%9f%a5%e7%bd%91\" title=\"[Sees articles with tags]\" target=\"_blank\" >CNKI<\/a>and<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%8d%8e%e4%b8%ba%e4%ba%91\" title=\"[Sees articles with tags]\" target=\"_blank\" >HUAWEI CLOUD<\/a>Co-organized. Meeting.<strong>Huaji Big Model 5.0 Released<\/strong>The company also launched new applications such as Intelligent PPT, AI Science and Technology Research, Huaji App, and 3D Holographic Interactive Digital Man.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-20466\" title=\"4d29941cj00sk8unu00add000ff00acp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/09\/4d29941cj00sk8unu00add000ff00acp.jpg\" alt=\"4d29941cj00sk8unu00add000ff00acp\" width=\"555\" height=\"372\" \/><\/p>\n<p>According to Tongfang Knowledge Network, this release of Huazhi Big Model 5.0 realizes:<\/p>\n<ul>\n<li>The ability of \"full range, multi-modal, strong knowledge, high credibility\" jumps up, in response to the needs of diversified large-scale model construction, trained\u00a0<strong>7b, 13b, 38b, 135b<\/strong>\u00a0From end-side to giga-size multi-size models;<\/li>\n<li>Multimodal large model for cross-modal multilayer semantic fusion for academic picture and statistical table comprehension as well as intelligent recognition and segmentation of entities in complex scenes;<\/li>\n<li>Strong logic control through the fusion of multi-source vector libraries, coupled with an original multi-level thought chain enhancement technique.<strong>Enables controlled generation of content with strong logic of thought chains + knowledge frameworks<\/strong>, effectively curbing the big model illusion, and further enhancing content professionalism and credibility.<\/li>\n<\/ul>\n<p>According to Tongfang Knowledge Network, CNKI AI model has been successfully applied in the fields of education and scientific research, industry and agriculture, government affairs and finance, medical and legal affairs, and so on. CNKI AI Scholarship Assistant, the first personalized and generative professional knowledge service platform in China based on Huazhi's big model, has been successfully applied in education and research.<strong>Thousands of institutional users<\/strong>.<\/p>\n<p>In August 2023, Tongfang Knowledge Network signed a contract with Huawei Cloud to build the \"Huaji Big Model\", which is based on Huawei Cloud's Pangu Big Model.<\/p>","protected":false},"excerpt":{"rendered":"<p>With the theme of \"Digital Intelligence Coexistence, Industry Win-Win\", the Huazhi Big Model Industry Application Seminar was held in Shanghai on September 21, which was jointly organized by Tongfang Knowledge Network and Huawei Cloud. At the meeting, Huazhi Big Model 5.0 was released, and new applications such as Intelligent PPT, AI Scientific and Technological Research, Huazhi App, and 3D Holographic Interactive Digital Man were launched. According to the introduction of Tongfang Knowledge Network, Huaji Big Model 5.0 released this time has realized the capability leap of \"full range, multi-modal, strong knowledge, high reliability\", and trained 7B, 13B, 38B, 135B multi-size models from the end side to the 100 billion level in response to the needs of diversified big model construction, and the multi-modal big model with multi-modal multilayers semantic fusion, which can realize academic pictures, statistical data, and other important data. Multi-modal large models with cross-modal multilayer semantic fusion, which can realize the comprehension of academic pictures and statistical tables as well as the intelligent recognition of entities in complex scenes.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[829,4473,563],"collection":[],"class_list":["post-20465","post","type-post","status-publish","format-standard","hentry","category-news","tag-829","tag-4473","tag-563"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/20465","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=20465"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/20465\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=20465"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=20465"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=20465"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=20465"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}