{"id":4111,"date":"2024-02-20T09:59:53","date_gmt":"2024-02-20T01:59:53","guid":{"rendered":"https:\/\/www.1ai.net\/?p=4111"},"modified":"2024-02-20T09:59:53","modified_gmt":"2024-02-20T01:59:53","slug":"meta%e5%8f%91%e5%b8%83%e5%85%a8%e6%96%b0ai%e8%87%aa%e5%8a%a8%e5%89%aa%e8%be%91%e8%a7%86%e9%a2%91%e5%b7%a5%e5%85%b7agents-lave","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/4111.html","title":{"rendered":"Meta releases new AI automatic video editing tool Agents LAVE"},"content":{"rendered":"<p>Agents LAVE is<a href=\"https:\/\/www.1ai.net\/en\/tag\/meta\" title=\"[View articles tagged with [Meta]]\" target=\"_blank\" >Meta<\/a>New releases<a href=\"https:\/\/www.1ai.net\/en\/tag\/ai%e8%87%aa%e5%8a%a8%e5%89%aa%e8%be%91%e8%a7%86%e9%a2%91%e5%b7%a5%e5%85%b7\" title=\"[SEES ARTICLES WITH [AI AUTOCLIP VIDEO TOOL] LABELS]\" target=\"_blank\" >AI automatic video editing tool<\/a>, uses AI technology to automatically generate simple short videos and advertising videos without human intervention. The tool interface includes input prompts, material library and video timeline, while Agents design guides the execution of editor action plans.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4113\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/02\/6384395463337436427199953-1.png\" alt=\"\" width=\"632\" height=\"334\" \/><\/p>\n<p>Paper address: https:\/\/arxiv.org\/pdf\/2402.10294.pdf<\/p>\n<p>Agents supports five<a href=\"https:\/\/www.1ai.net\/en\/tag\/llm\" title=\"[SEE ARTICLES WITH [LLM] LABELS]\" target=\"_blank\" >LLM<\/a>Functions, including material overview, creative brainstorming, video retrieval, storyboarding and clip trimming, enable automatically generated language to construct video editing. System prompts include role assignment, action description and format guidance, as well as recent dialogue history and user input to help generate action plans.<\/p>\n<p>After the action plan is formulated, it is submitted to the user for approval, and each action is approved by the user in turn to achieve the editing goal. The LAVE application is built as a full-stack web application, with React.js as the front-end UI and Flask as the back-end server, using OpenAI&#039;s GPT-4 model and gpt-4-0613 checkpoints to achieve functional mapping. The release of Agents LAVE will bring revolutionary changes to video editing, enabling a more efficient and intelligent video editing process.<\/p>","protected":false},"excerpt":{"rendered":"<p>Agents LAVE is a new AI automated video editing tool released by Meta that uses AI technology to automate the generation of simple short videos and advertising videos without human intervention. The tool interface includes input prompts, a library of clips and a video timeline, while the Agents design guides the execution of the editing action plan. Paper address:https:\/\/arxiv.org\/pdf\/2402.10294.pdf Agents supports five LLM functions, including clip overview, creative brainstorming, video retrieval, storyboarding, and clip trimming, to realize automatically generated language-built video editing. System prompts including role assignments, action descriptions, and formatting guidelines, as well as recent dialog history and user input, help generate action plans. Developing an action plan<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[1271,473,297],"collection":[],"class_list":["post-4111","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-llm","tag-meta"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/4111","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=4111"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/4111\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=4111"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=4111"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=4111"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=4111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}