AINewsnow

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 a small open model l…

Read the full story at The Decoder ↗

Timeline · 1 report

  1. 2026-10-06 19:47 · The Decoder
    Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size

More stories

  1. Google DeepMind launches EmbeddingGemma 2, a 740M-parameter model to map code, images, video, and audio in a shared embedding space, under an Apache 2.0 license (Google) — Techmeme
  2. Nano Banana 2.1 is rolling out now. — r/GeminiAI
  3. Google is about to remove free access to Gemini Flash and Pro — The Verge AI
  4. OpenAI is adding text watermarking in ChatGPT and Codex — The Verge AI
  5. I noticed this happens to nearly all Google models even Nanobana on web now is nerfed — r/GeminiAI
  6. OpenAI deactivated my account for "Cyber Abuse" while I was building a remote ADB support tool. Appeal rejected with no explanation. — r/OpenAI
  7. Create your own voices with Gemini 3.8 text-to-speech — Google DeepMind YouTube
  8. Anthropic's Claude Now Reads and Edits Google Docs, Sheets, and Slides — AlphaSignal

Get the daily brief of stories like this at 6:30 every morning →