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  1. Google DeepMind71

    Google DeepMind releases EmbeddingGemma 2, a 740M open multimodal embedding model

    Google DeepMind launched EmbeddingGemma 2, a 740M-parameter open embedding model under Apache 2.0 that maps text.

    Why it matters: The model card numbers let readers judge whether a 740M on-device embedder can replace their current retrieval stack.

  1. Google DeepMind71

    Google DeepMind introduces Gemini 3.8 Live with Live Avatar

    Google DeepMind introduced Gemini 3.8 Live with Live Avatar, which pairs near real-time video generation with speech so Gemini's live dialogue models can listen.

    Why it matters: The post details how low-latency video, async tool calls and 97-language lip-sync change what enterprise agents can do.

  1. Google DeepMind71

    Google DeepMind releases Gemini 3.8 Flash TTS and Flash-Lite TTS

    Google DeepMind introduced Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS.

    Why it matters: The post details voice design, line-by-line direction and rollout channels, so readers can judge fit for dubbing or voice agents.

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