{"id":3994,"date":"2024-02-17T08:44:16","date_gmt":"2024-02-17T00:44:16","guid":{"rendered":"https:\/\/www.1ai.net\/?p=3994"},"modified":"2024-02-17T08:44:16","modified_gmt":"2024-02-17T00:44:16","slug":"%e8%be%85%e5%8a%a9%e6%8f%90%e9%ab%98%e7%bc%96%e7%a8%8b%e6%95%88%e7%8e%87%ef%bc%8c%e6%b3%84%e9%9c%b2%e6%96%87%e4%bb%b6%e6%98%be%e7%a4%ba%e8%b0%b7%e6%ad%8c%e5%b7%b2%e5%bc%80%e5%8f%91%e5%86%85%e9%83%a8","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/3994.html","title":{"rendered":"To help improve programming efficiency, leaked documents show that Google has developed an internal AI model called &quot;Goose&quot;"},"content":{"rendered":"<p data-vmark=\"d8e9\"><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%b0%b7%e6%ad%8c\" title=\"[View articles tagged with [Google]]\" target=\"_blank\" >Google<\/a>Currently accelerating the <a href=\"https:\/\/www.1ai.net\/en\/tag\/ai\" title=\"[View articles tagged with [AI]]\" target=\"_blank\" >AI<\/a> As the war over artificial intelligence intensifies, Google has also begun to use AI to &quot;empower&quot; its own development work to improve employee efficiency by integrating it into its major products.<\/p>\n<p data-vmark=\"48a8\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3995\" title=\"94b54c83-cbfe-4c03-bc6f-4d51e3a45814\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/02\/94b54c83-cbfe-4c03-bc6f-4d51e3a45814.png\" alt=\"94b54c83-cbfe-4c03-bc6f-4d51e3a45814\" width=\"936\" height=\"306\" \/><\/p>\n<p data-vmark=\"428e\">According to Business Insider on Thursday (15th), Google has developed a robot called &quot;goose&quot; for its internal team.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b\" title=\"[View articles tagged with [large language model]]\" target=\"_blank\" >Large Language Model<\/a>, exclusively for employee use.<span class=\"accentTextColor\">Internal documents show that the purpose of the &quot;goose&quot; is to assist in the development of new products<\/span>.<\/p>\n<p data-vmark=\"2614\">&quot;Goose&quot; is described in the document as a &quot;descendant of Gemini,&quot; a new type of large language model trained based on Google&#039;s &quot;25 years of engineering expertise.&quot;<\/p>\n<p data-vmark=\"e5a1\">The internal summary also mentioned that &quot;Goose&quot; can answer questions related to Google&#039;s specific technology, and the code is written by the internal technology stack.<span class=\"accentTextColor\">And support new features such as editing code based on natural language prompts<\/span>.<\/p>\n<p data-vmark=\"7aa1\">The document states that Goose is part of a plan to &quot;bring AI into every stage of the product development process&quot; and is a collaboration between Google Brain, DeepMind, and Google&#039;s internal infrastructure teams. Currently, Goose is available to at least some employees.<span class=\"accentTextColor\">Having a 28k context token window (referring to the amount of text, numbers, and other information a language model can consider when processing a query) is &quot;particularly valuable&quot; for development tasks.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Google is now accelerating the integration of AI into the major products under its banner, and as the fighting of artificial intelligence increases, Google has begun to \u201cenabling\u201d the development of AI as a home to improve staff efficiency. According to Business Insider, on Thursday (15 days), Google developed a large-language model called Goose for internal teams, which is intended for employees. Internal documentation indicates that geese are used to assist in the development of new products. The Goose, described in this document as \u201cGemini's descendants\u201d (originally known of Gemini), is a new, large-language model based on Google's 25-year engineering expertise. The internal summary also mentions that a goose can<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[411,706,281],"collection":[],"class_list":["post-3994","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-706","tag-281"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/3994","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=3994"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/3994\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=3994"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=3994"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=3994"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=3994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}