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Google Launches EmbeddingGemma 2: Compact 740M Parameter Multimodal Embedding Model for Ultra-Low Latency Edge AI

Google 推出 EmbeddingGemma 2：超輕量 740M 參數，讓裝置端擁有強大「多模態語意搜尋」與即時決策力

Google's EmbeddingGemma 2 is a 740M open-weight multimodal embedding model that runs entirely on-device, unifying text, image, video, and audio into a single vector space with minimal memory footprint.