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The Decoder

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标题为英语Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size

Google released EmbeddingGemma 2, an open model with 740 million parameters that converts text, images, video, audio, and code into vectors. It runs on-device, needs only about 191 MB of RAM, and outperforms some competing models twice its size, according to Google. Paired with…

The Decoder作者: Matthias Bastian2026年10月6日 (10月6日)
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  • Google released EmbeddingGemma 2, an open model with 740 million parameters that converts text, images, video, audio, and code into vectors
  • It runs on-device, needs only about 191 MB of RAM, and outperforms some competing models twice its size, according to Google
  • Paired with…
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Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size

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