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Google launches 740M-parameter multimodal embedding model

Google has launched EmbeddingGemma 2, a 740-million-parameter model that maps text, code, images, audio and video into a shared embedding space. The company says it is designed for on-device search and retrieval, with modular encoders and adjustable vector sizes.