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通过将中间 Conformer 层用 PCA 降维后注入 EmbeddingGemma-2 投影矩阵的 256 维零空间（零训练），在 MAEB 音频基准上的宏平均分从 49.3% 提升到 54.4%，从第 26 名跃升至第 1 名，且文本嵌入完全不变。
The author argues that EmbeddingGemma 2 and embedding models in general are being underestimated, highlighting the open-source DigUp project — a Mac search app built on Google's EmbeddingGemma 2 that outperforms Spotlight with content, image, and audio search — and suggests embeddings could also improve RAG knowledge base search.
一位网友在 GitHub 上发现了一款基于 Google EmbeddingGemma2 小模型的 Mac 搜索应用，称其准确度远超系统自带 Spotlight，支持文件名、文件内容、图片和音频搜索。
Emma Scharfmann highlights how EmbeddingGemma has enabled numerous AI for Science projects (medical, geo, oncology, PubMed embeddings) and notes that EmbeddingGemma 2 was released on Hugging Face, opening new possibilities for scientific research.