{"id":13188,"date":"2024-06-15T09:11:19","date_gmt":"2024-06-15T01:11:19","guid":{"rendered":"https:\/\/www.1ai.net\/?p=13188"},"modified":"2024-06-15T09:11:19","modified_gmt":"2024-06-15T01:11:19","slug":"%e5%b8%88%e8%80%85ai%e6%90%ba%e6%89%8b%e6%91%a9%e5%b0%94%e7%ba%bf%e7%a8%8b%e5%ae%8c%e6%88%9070%e4%ba%bf%e5%8f%82%e6%95%b0%e5%a4%a7%e6%a8%a1%e5%9e%8b%e8%ae%ad%e7%bb%83","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/13188.html","title":{"rendered":"Shizhe AI and Moore Thread complete the training of a large model with 7 billion parameters"},"content":{"rendered":"

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Recently, Moore Threads and Teacher AI, an AI model for education in all subjects, jointly announced that they have completed a large model training test. Relying on Moore Threads' KUAE Kilocalorie cluster, Teacher AI successfully completed the high-intensity training of the 7 billion parameter large model, which took one week, and the training efficiency met expectations, fully demonstrating the capability of the domestic full-featured GPU Kilocalorie training platform. Figure source note: picture generated by AI, picture authorization service provider Midjourney It is understood that \"teacher AI\" was founded in 2020, the core team from Tsinghua University, focusing on the education of the whole discipline of the big model. Since the open internal test, it has more than 25,000 users, supports more than 30 disciplines of knowledge, and covers more than 2,000 textbooks. The training test successfully verified the Moore's Threads<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[146],"tags":[3082,3080,3081],"collection":[],"class_list":["post-13188","post","type-post","status-publish","format-standard","hentry","category-news","tag-3082","tag-ai","tag-3081"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/13188","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=13188"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/13188\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=13188"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=13188"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=13188"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=13188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}