Update README.md

README.md

@@ -584,10 +584,10 @@ Chuxin-Embedding 是专为增强中文文本检索能力而设计的嵌入模型
 Chuxin-Embedding is a specially designed embedding model aimed at enhancing the capability of Chinese text retrieval. It is based on bge-m3-retromae[1] and implements the entire process of pre-training, fine-tuning, and refining. This model has been trained on a vast amount of corpora from various fields. As of September 14, 2024, Chuxin-Embedding has shown outstanding performance in retrieval tasks. It ranks first on the C-MTEB Chinese Retrieval Leaderboard with a leading performance score of 77.88 and also ranks first on the AIR-Bench Chinese Retrieval + Re-ranking Public Leaderboard with a leading performance score of 64.78.
 
 ## News
-- 2024/9/14: LLM生成及数据清洗 [Code](https://github.com/chuxin-llm/Chuxin-Embedding) coming soon 。
+- 2024/9/14: LLM生成及数据清洗 [Code](https://github.com/chuxin-llm/Chuxin-Embedding) 。
 - 2024/9/14: 团队的RAG框架欢迎试用 [ragnify](https://github.com/chuxin-llm/ragnify) 。
   
-- 2024/9/14: LLM generation and data clean [Code](https://github.com/chuxin-llm/Chuxin-Embedding) coming soon.
+- 2024/9/14: LLM generation and data clean [Code](https://github.com/chuxin-llm/Chuxin-Embedding) .
 - 2024/9/14: The team's RAG framework is available for trial [ragnify](https://github.com/chuxin-llm/ragnify) .
 
 ## Training Details