cohere(@cohere)
Is RCP-nDCG our own methodology? Yes. Do we still lead when it comes to standard nDCG@10? Also yes.
8.5内容质量
TL;DR · AI 摘要
Cohere的Embed 5 Fast模型在RCP-nDCG@10基准测试中超过95%的163个数据集，优于Google的EmbeddingGemma 2。
核心要点
- Cohere的Embed 5 Fast在163个数据集中95%的场景表现优于Google EmbeddingGemma 2
- RCP-nDCG是Cohere自研的评估方法论
- nDCG@10指标中Cohere仍保持行业领先地位
结构提纲
按章节快速跳转。
- §技术声明
Cohere宣布Embed 5 Fast模型在RCP-nDCG@10指标中表现领先
RCP-nDCG是Cohere自研的评估方法论，用于衡量嵌入模型性能
在163个数据集测试中，Embed 5 Fast在95%场景超越Google EmbeddingGemma 2
- ·行业地位
Cohere在标准nDCG@10指标中保持技术领先地位
思维导图
用一张图看清主题之间的关系。
查看大纲文本（无障碍 / 无 JS 友好）
- Cohere模型性能评估
- 核心方法
- RCP-nDCG@10指标
- 基准测试
- 163个数据集测试
- 95%场景领先
- 竞争对比
- Google EmbeddingGemma 2
金句 / Highlights
值得收藏与分享的关键句。
Embed 5 Fast leads on over 95% of them.
RCP-nDCG is our own methodology.
Benchmarked against Google's EmbeddingGemma 2 across 163 datasets.
#机器学习#模型评估#Cohere#Google#nDCG
打开原文Cohere on X: "Is RCP-nDCG our own methodology? Yes. Do we still lead when it comes to standard nDCG@10? Also yes." / X
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Cohere on X: "Is RCP-nDCG our own methodology? Yes. Do we still lead when it comes to standard nDCG@10? Also yes."
-  Cohere @cohere 12h Some strong embeddings models have been released recently. Ours is still better. We benchmarked Embed 5 Fast against Google's EmbeddingGemma 2 across 163 datasets using RCP-nDCG@10. Embed 5 Fast leads on over 95% of them.
[](https://x.com/cohere/status/2111544722535645187/photo/1)
[](https://x.com/cohere/status/2111544722535645187/photo/2) 21 18 184 15K
-  Cohere @cohere Is RCP-nDCG our own methodology? Yes. Do we still lead when it comes to standard nDCG@10? Also yes.
[](https://x.com/cohere/status/2111544769906151679/photo/1) 7:47 PM · Oct 17, 2026·1,937 Views 1 1 6 1
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