{"id":26880,"date":"2024-02-21T18:27:45","date_gmt":"2024-02-21T15:27:45","guid":{"rendered":"https:\/\/wikidollar.net\/26880\/google-ai-introduces-gemma-a\/"},"modified":"2024-02-21T18:27:46","modified_gmt":"2024-02-21T15:27:46","slug":"google-ai-introduces-gemma-a","status":"publish","type":"post","link":"https:\/\/wikidollar.net\/?p=26880","title":{"rendered":"Google AI introduces Gemma: A set of open-source AI models for Developers based on Gemini"},"content":{"rendered":"

Google AI introduces Gemma: A set of open-source AI models for Developers based on Gemini\u060c<\/p>\n

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Google just announcement<\/a> the release of Gemma, a new collection of open source language models aimed at making them more accessible to a wider audience of developers and researchers. Gemma is based on technology used in Google's previous Gemini models, comes in two smaller sizes and includes a range of tools and documentation.<\/p>\n

Gemma draws on the same research and technologies that Google<\/a> uses to create its Gemini models. However, Gemma is specifically designed for developers and researchers who are new to AI. Google says the templates are easy to use and come with a number of tools and resources to help developers get started, such as a comprehensive documentation set that covers everything from installing Gemma to fine-tuning it for specific tasks.<\/p>\n

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Gemma is inspired by Gemini and its name reflects the Latin gemma, meaning \u201cprecious stone\u201d.<\/p>\n<\/div>\n

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\n\"Google<\/source><\/source><\/source><\/picture>\n<\/div>\n<\/div>\n<\/div>\n

Gemma Models Available Today | Source: Google<\/span><\/p>\n

One of the most important things Google says about Gemma is that it is designed with safety and responsible use in mind. Available in two sizes (Gemma 2B and Gemma 7B), they have been checked to ensure they are not biased or discriminatory, and come with a set of guidelines to help you use them responsibly.<\/p>\n

Gemma is a great resource for anyone who wants to learn more about AI or develop their own AI applications. Its models can run directly on a developer's laptop or desktop and, according to Google, outperform much larger machines on important benchmark tests.<\/p>\n

Google AI hopes that by making Gemma open source and accessible to more developers, it will accelerate the creation of new and original language model applications. Gemma can be used for a wide range of tasks, including developing new text formats, translating languages, writing various types of creative content, and providing useful responses to inquiries. Gemma is also available worldwide starting today.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Google AI introduces Gemma: A set of open-source AI models for Developers based on Gemini\u060c Google just announcement the release of Gemma, a new collection of open source language models aimed at making them more accessible to a wider audience of developers and researchers. Gemma is based on technology used in Google's previous Gemini models, […]<\/p>\n","protected":false},"author":1,"featured_media":26881,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[434,4135,6941,11012,70,939,556,11013,74],"class_list":["post-26880","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-based","tag-developers","tag-gemini","tag-gemma","tag-google","tag-introduces","tag-models","tag-opensource","tag-set"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/wikidollar.net\/index.php?rest_route=\/wp\/v2\/posts\/26880","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wikidollar.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wikidollar.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wikidollar.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wikidollar.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=26880"}],"version-history":[{"count":1,"href":"https:\/\/wikidollar.net\/index.php?rest_route=\/wp\/v2\/posts\/26880\/revisions"}],"predecessor-version":[{"id":26882,"href":"https:\/\/wikidollar.net\/index.php?rest_route=\/wp\/v2\/posts\/26880\/revisions\/26882"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wikidollar.net\/index.php?rest_route=\/wp\/v2\/media\/26881"}],"wp:attachment":[{"href":"https:\/\/wikidollar.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=26880"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wikidollar.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=26880"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wikidollar.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=26880"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}