Google DeepMind 推出了 Gemini Embedding 2，一个新生的原生多模态嵌入模型。该模型能够为视频、音频、图像和文本数据生成统一的表示，在各种专业领域展现出强大的零样本能力。它在关键的嵌入基准测试中取得了最先进的性能，包括多模态检索任务，并可用于 RAG、推荐系统和搜索等下游应用。 AI
影响 这款多模态嵌入模型凭借其统一的表示能力，有望增强 RAG、推荐和搜索系统。
排序理由 该集群包含一篇详细介绍 Google DeepMind 新多模态嵌入模型的论文。
在 Hugging Face Daily Papers 阅读 →
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
RT @mseyed: Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini 🚀 Today, we’re sharing the @GoogleDeepMind white paper for…
Gemini Embedding 2 is a multimodal embedding model that generates unified representations for video, audio, image, and text data, achieving superior performance across diverse retrieval tasks and demonstrating strong zero-shot capabilities across specialized domains.
arXiv:2605.27295v1 Announce Type: new Abstract: We introduce Gemini Embedding 2, a native multimodal embedding model that allows embedding video, audio, image, and text modalities in a unified representation space. We leverage the multimodal capabilities of Gemini to produce embe…
We introduce Gemini Embedding 2, a native multimodal embedding model that allows embedding video, audio, image, and text modalities in a unified representation space. We leverage the multimodal capabilities of Gemini to produce embeddings for arbitrary combinations of interleaved…