Update README.md

README.md

@@ -28,7 +28,7 @@ language:
   </a>
 </p>
 
-最新bce-reranker-base_v1相关信息，以及更多MTEB和RAG相关评测细节，请移步（The latest "Updates" should be checked in）：
+最新、最详细bce-reranker-base_v1相关信息，请移步（The latest "Updates" should be checked in）：
   
 <p align="left">
   <a href="https://github.com/netease-youdao/BCEmbedding">GitHub</a>
@@ -40,17 +40,16 @@ language:
 - <a href="https://github.com/netease-youdao/BCEmbedding">BCEmbedding</a>适配长文本做rerank(Handle long passages reranking more than 512 limit in <a href="https://github.com/netease-youdao/BCEmbedding">BCEmbedding</a>)；
 - RerankerModel可以提供可靠的 **相关性分数**，用于过滤低质量passage（RerankerModel provides **meaningful similarity score**, which help you figure out how relavent the query and passages are!）
 
-## News
+## News:
 - `BCEmbedding`技术博客（ **Technical Blog** ）: [为RAG而生-BCEmbedding技术报告](https://zhuanlan.zhihu.com/p/681370855)
 - Related link for **EmbeddingModel** : [bce-embedding-base_v1](https://huggingface.co/maidalun1020/bce-embedding-base_v1)
 
-## Third-party Examples
+## Third-party Examples:
 - RAG applications: [QAnything](https://github.com/netease-youdao/qanything), [HuixiangDou](https://github.com/InternLM/HuixiangDou), [ChatPDF](https://github.com/shibing624/ChatPDF).
 - Efficient inference framework: [ChatLLM.cpp](https://github.com/foldl/chatllm.cpp), [Xinference](https://github.com/xorbitsai/inference).
 
 ![image/jpeg](assets/rag_eval_multiple_domains_summary.jpg)
 
-
 -----------------------------------------
 <details open="open">
 <summary>Click to Open Contents</summary>