{"id":11801,"date":"2024-05-31T09:15:03","date_gmt":"2024-05-31T01:15:03","guid":{"rendered":"https:\/\/www.1ai.net\/?p=11801"},"modified":"2024-05-31T09:15:03","modified_gmt":"2024-05-31T01:15:03","slug":"%e5%bf%ab%e6%89%8b%e4%b8%8a%e7%ba%bf%e8%87%aa%e7%a0%94%e6%96%87%e7%94%9f%e5%9b%be%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%8f%af%e5%9b%be%ef%bc%8c%e6%b6%88%e6%81%af%e7%a7%b0%e5%8f%82%e6%95%b0","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/11801.html","title":{"rendered":"Kuaishou launches self-developed large-scale text-based graph model &quot;KeTu&quot;, with a parameter scale of billions"},"content":{"rendered":"<p data-vmark=\"a931\"><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%bf%ab%e6%89%8b\" title=\"\u3010\u67e5\u770b\u542b\u6709[\u5feb\u624b]\u6807\u7b7e\u7684\u6587\u7ae0\u3011\" target=\"_blank\" rel=\"noopener\">\u5feb\u624b<\/a>\u81ea\u7814<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%96%87%e7%94%9f%e5%9b%be%e5%a4%a7%e6%a8%a1%e5%9e%8b\" 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title=\"831d945a-f920-47db-8c09-b327c58422e2\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/05\/831d945a-f920-47db-8c09-b327c58422e2.png\" alt=\"831d945a-f920-47db-8c09-b327c58422e2\" width=\"516\" height=\"986\" \/><\/p>\n<p data-vmark=\"56d7\">\u7ecf\u5b9e\u6d4b\u53d1\u73b0\uff0c\u201c\u53ef\u56fe\u201d\u63d0\u4f9b\u7684\u529f\u80fd\u5305\u62ec\u201c\u6587\u751f\u56fe\u201d\uff0c\u4ee5\u53ca\u591a\u6b3e\u52a8\u6f2b\u4e3b\u9898\u3001\u5199\u5b9e\u4eba\u50cf\u98ce\u683c\uff0c\u5305\u62ec\u672c\u4e16\u7eaa\u65e9\u671f\u6d41\u884c\u7684\u201c\u7ea2\u94bb\u8d35\u65cf\u201d\u3001\u8fd1\u671f\u8f83\u4e3a\u70ed\u95e8\u7684\u201c\u7c98\u571f\u4e16\u754c\u201d\u98ce\u683c\uff0c\u4ee5\u53ca\u591a\u79cd\u4e0d\u540c\u98ce\u683c\u7684\u201c\u7ed8\u753b\u201d\u6837\u5f0f\uff0c\u7528\u6237\u4e00\u6b21\u53ef\u751f\u6210\u6700\u591a 4 \u5f20\u56fe\u7247\u3002<\/p>\n<p data-vmark=\"ec2d\">\u636e\u6b64\u524d\u62a5\u9053\uff0c\u5feb\u624b\u521b\u59cb\u4eba\u517c CEO \u7a0b\u4e00\u7b11\u66fe\u5728\u4eca\u5e74 3 \u6708\u653e\u51fa\u8c6a\u8a00\uff1a<span class=\"accentTextColor\">\u6709\u4fe1\u5fc3\u5728\u672a\u6765\u534a\u5e74\u5185\uff0c\u4f7f\u5927\u6a21\u578b\u7684\u7efc\u5408\u6027\u80fd\u8fbe\u5230 GPT4.0 \u7684\u6c34\u5e73<\/span>\u3002\u540c\u65f6\uff0c\u4ed6\u8fd8\u79f0\u5feb\u624b\u6587\u751f\u56fe\u5927\u6a21\u578b\u201c\u53ef\u56fe\u201d\u7efc\u5408\u6027\u80fd\u5df2\u8d85\u8fc7 Midjourney V5 \u7684\u6c34\u5e73\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Shutterbug's self-developed text-to-map model \"Ketu\" has recently been officially opened to the public, which currently supports two types of functions: text-to-map and map-to-map, and can be used for AI creation of images and AI image customization. Users can use it through the WeChat small program and web version of \"Ketu\". According to Interface News, this is also the first time that Shutterstock has opened its self-developed series of large models to the public. The report cited sources familiar with the matter as saying that the parameter scale of the \"KeTu\" big model reaches one billion, and the data comes from the open source community, the internal construction of Shutterstock and the synthesis of self-researched AI technology, covering the concept of common Chinese entities of ten million, and the introduction of reinforcement learning and rewarding modeling technology (RLHF), which has solved the problem of the big model of the text-born figure in the case of long and complex semantic text inputs, and has been used to solve the problem. and complex semantic text input under the effect of the problem. Reportedly, the fast hand internal this year clear large model application policy<\/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":[2861,2859,2860],"collection":[],"class_list":["post-11801","post","type-post","status-publish","format-standard","hentry","category-news","tag-2861","tag-2859","tag-2860"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11801","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=11801"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11801\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=11801"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=11801"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=11801"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=11801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}