Update README.md

README.md

@@ -16,7 +16,7 @@ This repository contains the DISC-FinLLM, version of Baichuan-13B-Chat as the ba
 **Please note that due to the ongoing development of the project, the model weights in this repository may differ from those in our currently deployed demo.**
 
 
-DISC-FinLLM is a large model in the financial field specifically designed to provide users with professional, intelligent, and comprehensive **financial consulting services** in financial scenarios. It is developed by [Fudan University Data Intelligence and Social Computing Laboratory (Fudan-DISC)](http://fudan-disc.com) developed and open source. It is a multi-expert smart financial system composed of four modules for different financial scenarios: financial consulting, financial text analysis, financial calculation, and financial knowledge retrieval and question answering. These modules showed clear advantages in four evaluations including financial NLP tasks, human test questions, data analysis and current affairs analysis, proving that DISC-FinLLM can provide strong support for a wide range of financial fields. DISC-FinLLM can help in different application scenarios and can be used to implement different functions:
+DISC-FinLLM is a large model in the financial field specifically designed to provide users with professional, intelligent, and comprehensive **financial consulting services** in financial scenarios. It is developed  and open sourced by [Fudan University Data Intelligence and Social Computing Laboratory (Fudan-DISC)](http://fudan-disc.com). It is a multi-expert smart financial system composed of four modules for different financial scenarios: financial consulting, financial text analysis, financial calculation, and financial knowledge retrieval and question answering. These modules showed clear advantages in four evaluations including financial NLP tasks, human test questions, data analysis and current affairs analysis, proving that DISC-FinLLM can provide strong support for a wide range of financial fields. DISC-FinLLM can help in different application scenarios and can be used to implement different functions:
 
 * **Financial Consultation:** This module can start multiple rounds of dialogue with users on financial topics in the Chinese financial context, or explain relevant knowledge of financial majors to users. It is composed of the financial consulting instructions part of the data set.
 * **Financial Text Analysis:** This module can help users complete NLP tasks such as information extraction, sentiment analysis, text classification, and text generation on financial texts. It is trained by the financial task instructions in the data set.