DISC-FinLLM

DISC-FinLLM is a large language model in the financial field. 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 conversations with users on financial topics in the Chinese financial context, or explain relevant knowledge of financial majors to users. It is trained from the financial consultation instruction part in 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 partially trained by the financial task instructions in the data set.
Financial calculations: This module can help users complete tasks related to mathematical calculations. In addition to basic calculations such as interest rates and growth rates, it also supports statistical analysis and financial models including the Black-Scholes option pricing model and the EDF expected default probability model. calculate. This module is partially trained from the financial calculation instructions in the data set.
Financial knowledge retrieval Q&A: This module can provide users with investment advice, current affairs analysis, and policy interpretation based on financial news, research reports, and related policy documents. It is partially trained from the retrieval enhancement instructions in the dataset.