{"id":5040,"date":"2024-03-07T09:52:05","date_gmt":"2024-03-07T01:52:05","guid":{"rendered":"https:\/\/www.1ai.net\/?p=5040"},"modified":"2024-03-07T09:52:05","modified_gmt":"2024-03-07T01:52:05","slug":"meta%e6%8a%95%e8%b5%84%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e6%8e%a8%e5%8a%a8%e8%a7%86%e9%a2%91%e6%8e%a8%e8%8d%90-%e8%9e%8d%e5%90%88feed%e5%92%8creels","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/5040.html","title":{"rendered":"Meta invests in AI to drive video recommendations, integrating Feed and Reels"},"content":{"rendered":"<p>Facebook parent company<a href=\"https:\/\/www.1ai.net\/en\/tag\/meta\" title=\"[View articles tagged with [Meta]]\" target=\"_blank\" >Meta<\/a>Investing heavily in artificial intelligence technology as part of its technology road map to 2026, aimed at developing newer technologies<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e6%8e%a8%e8%8d%90%e6%a8%a1%e5%9e%8b\" title=\"[Sees articles with labels]\" target=\"_blank\" >Artificial Intelligence Recommendation Model<\/a>Recommend all of its video products, including its TikTok-like Reels short video service and Facebook <a href=\"https:\/\/www.1ai.net\/en\/tag\/feed\" title=\"_Other Organiser\" target=\"_blank\" >Feed<\/a>Traditional long videos in.<\/p>\n<p>Meta executive Tom Alison revealed that the company currently typically uses separate recommendation models for each product such as Reels, Groups, and the main feed, but will develop a unified large-scale model across product services in the future.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-5041\" title=\"202207271436142427_0\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/03\/202207271436142427_0.jpg\" alt=\"202207271436142427_0\" width=\"943\" height=\"564\" \/><\/p>\n<p><span class=\"spamTxt\">First<\/span>The stage is to migrate the existing recommendation system from traditional chips to<a href=\"https:\/\/www.1ai.net\/en\/tag\/gpu\" title=\"_OTHER ORGANISER\" target=\"_blank\" >GPU<\/a>Improved overall performance. The second phase, which began to build this new \u201cmodel architecture\u201d last year, has been tested on Reels, adding 81 TP3T to 101 TP3T for the duration of Reels' viewing for Facebook core applications\u3002<\/p>\n<p>Alison stated that Meta was appalled by the ability of such large artificial intelligence models to \u201cmany data and tasks\u201d. As a result, in its third phase, Meta will endeavour to validate and promote this technology and use a single model to recommend services for the entire video ecosystem and even Feed\u3002<\/p>\n<p>\u201cThese recommendations will be more attractive, relevant and responsive.\u201d Alison said that if you saw what was interesting in Reels, you could see similar recommendations when you returned to Feed\u3002<\/p>\n<p>Meta has purchased a large number of GPUs to support broader AI work, such as developing digital assistants. Some plans include integrating complex chat tools into feeds, allowing users to ask AI assistants questions about a tweet topic; or allowing group members to ask AI assistants questions related to the topic.<\/p>\n<p>Alison said, \u201cWe have the opportunity to place the generated AI in a multi-person consumption environment\u201d<\/p>","protected":false},"excerpt":{"rendered":"<p>The Facebook parent company Meta is investing heavily in artificial intelligence as part of its \u201cTechnology Road Map to 2026\u201d to develop a brand-new artificial intelligence referral model to recommend all its video products, including the TikTok-like Reels short video service and traditional long video in Facebook Feed. Meta executive Tom Alison revealed that the company currently uses a separate recommended model for each product, such as Reels, Groups and the main Feed, but that a single large model cross-product service will be developed in the future. The first phase involves the migration of existing referral systems from traditional chips to GPU to improve overall performance. The second stage was last year when we started building this new thing<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[1529,415,297,1528],"collection":[],"class_list":["post-5040","post","type-post","status-publish","format-standard","hentry","category-news","tag-feed","tag-gpu","tag-meta","tag-1528"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/5040","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=5040"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/5040\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=5040"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=5040"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=5040"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=5040"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}