{"id":1041594,"date":"2026-10-07T10:57:52","date_gmt":"2026-10-07T05:27:52","guid":{"rendered":"https:\/\/telecomlive.in\/web\/?p=1041594"},"modified":"2026-10-07T10:57:52","modified_gmt":"2026-10-07T05:27:52","slug":"google-ceo-sundar-pichai-announces-embeddinggemma-2-model-says-it-is-companys-first-open-natively-multimodal-embedding-model","status":"publish","type":"post","link":"https:\/\/telecomlive.in\/web\/2026\/10\/07\/google-ceo-sundar-pichai-announces-embeddinggemma-2-model-says-it-is-companys-first-open-natively-multimodal-embedding-model\/","title":{"rendered":"Google CEO Sundar Pichai announces EmbeddingGemma 2 model; says it is company\u2019s first open, natively multimodal embedding model"},"content":{"rendered":"<p>Google has launched EmbeddingGemma 2, an open multimodal embedding model for devices. The launch comes a year after the company introduced EmbeddingGemma for developers last year. For those unaware, an embedding model is a machine learning tool that turns complex data like words, sentences, images, or audio into a list of numbers called a vector. Built on the Gemma 4 architecture and released under a commercially permissive Apache 2.0 license, EmbeddingGemma 2 has 740 million parameters, making it optimal for on-device inference. It can help find a specific video clip from a voice memo, or search through hours of audio recordings based on a text query, all processed by a single, natively multimodal model.Announcing the new model, Google CEO Sundar Pichai said: \u201cIntroducing EmbeddingGemma 2, a new open multimodal model that sets the standard for on-device efficiency.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google has launched EmbeddingGemma 2, an open multimodal embedding model for devices. The launch comes a year after the company introduced EmbeddingGemma for developers last year. For those unaware, an embedding model is a machine learning tool that turns complex data like words, sentences, images, or audio into a list of numbers called a vector. Built on the Gemma 4 architecture and released under a commercially permissive Apache 2.0 license, EmbeddingGemma 2 has 740 million parameters, making it optimal for on-device inference. It can help find a specific video clip from a voice memo, or search through hours of audio [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[87,4,11],"tags":[],"class_list":["post-1041594","post","type-post","status-publish","format-standard","hentry","category-it-2-the-times-of-india","category-newspapers","category-the-times-of-india"],"acf":[],"_links":{"self":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/1041594","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/comments?post=1041594"}],"version-history":[{"count":1,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/1041594\/revisions"}],"predecessor-version":[{"id":1041595,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/1041594\/revisions\/1041595"}],"wp:attachment":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/media?parent=1041594"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/categories?post=1041594"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/tags?post=1041594"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}