The 306th Wenlan Financial Forum

Abstract：

I. Introduction to Large Models: Explaining the basic concepts, theoretical foundations, mainstream large models, and the training process of large models.

II. Risk Management Applications of Large Models: Demonstrating how large models transform financial risk management through three practical examples.

III. Custom Development of Large Models: Discussing the essential steps in developing customized large models, including the selection of benchmark models, knowledge base creation, function calls, and model fine-tuning.

IV. Potential Risks of Large Models: Exploring the risks that may be encountered in the application of large models and discussing corresponding countermeasures.

Speaker Introduction：

Wen Si, a native of Huzhou, Zhejiang, holds a Doctorate in Economics and qualifications as CPA, CFA, and FRM. Currently, he serves as a Big Data Risk Management Expert at JinXuan Digital. With nearly 20 years of experience in financial and risk management across various institutions, he has a profound understanding of the field.Wen Si serves as an adjunct graduate advisor at top universities, including Renmin, Shanghai University of Finance and Economics, Zhongnan University of Economics and Law, and East China University of Political Science and Law. He has published over 50 academic papers and authored books on financial technology using Python.He has taught Python financial courses and AI risk management classes for institutions like ICBC, Export-Import Bank of China, and PICC, as well as universities like Renmin, Zhejiang University, and Shanghai University of Finance and Economics. He developed the Snowball Large Model for financial analysis and risk management, garnering significant industry attention.