GoKawiil
Tech News
Google introduced EmbeddingGemma 2, a 740M-parameter embedding model that maps text, code, images, video, and audio into a single unified embedding space. It supports flexible output dimensions from 768 to 128 via Matryoshka Representation Learning, offers an 8K context window—four times larger than the text-only EmbeddingGemma—and is released under the Apache 2.0 license.
Google unveiled EmbeddingGemma 2, a 740-million-parameter multimodal AI model built on the Gemma 4 architecture and released under an Apache 2.0 license, designed to run locally on devices like Pixel phones using minimal RAM. The company also launched Google AI Edge Foresight, a Mac app that uses the model to transcribe meetings, expand shorthand notes into polished text, and answer questions by searching local files, calendars, and Google Drive content—all processed on-device.
Google launched EmbeddingGemma 2, a follow-up to its original EmbeddingGemma model that reportedly surpassed 20 million downloads. The new 740-million-parameter model is built on the Gemma 4 architecture, released under an Apache 2.0 license, and extends beyond text to embed code, images, video, and audio in a single shared space for on-device inference.