Google DeepMind launches EmbeddingGemma 2 multimodal on-device embedding model

Google DeepMind released EmbeddingGemma 2, a 740M-parameter natively multimodal open model for on-device embeddings that unifies text, images, audio, video, and code in a shared space.

This update bears on 4 kinds of work in 3 markets. Highest level accepted: L2 Partial automation.

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• L2Partial automation
  Develop algorithms and study computational propertiesComputing and engineering research
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  Integrate models retrieval and context flowsModel applications and agent systems
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