Google released its EmbeddingGemma 2 paper.
This is a dev post classified by AGK Intelligence as AI dev tools (a launch), kept by the Dev Radar because it carries real work, not commentary.
Google released its EmbeddingGemma 2 paper. embedding model for on-device multimodal AI, under an Apache 2.0 license. > puts text, code, images, audio and video into 1 searchable space on phones. gives phones a missing piece: a way to understand and search your own stuff without sending it to a server. > shows that a 744M-parameter open model can embed text, images, audio, and video, beating many models 2 to 12 times larger. > On a Pixel 11 Pro, quantized text weights take about 191MB of active RAM, and the full multimodal model takes about 567MB. > The context window grows 4x to 8K toke
Posted by Rohan Paul (160.6k followers) 1 days ago · 55 likes · 5.4k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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