Topic:Applications of Large Language Models such as DeepSeek in the Financial Sector

Speaker:Tao Lin, Researcher, Development Research Center, GF Securities Co., Ltd.

Host:Xianming Sun, Associate Professor, School of Finance, Zhongnan University of Economics and Law (ZUEL); Innovation Base for Digital Technology and Modern Finance

Time:10:00-11:30, Wednesday, March 12, 2025

Location:Tencent Meeting ID: 901-521-693

Abstract

In recent years, the rapid development of artificial intelligence (AI) technology has driven innovations in large language models (LLMs). As one of the most cutting-edge technologies, LLMs are being widely applied across various industries. For example, DeepSeek, which gained widespread attention in 2025, is one of the most advanced representatives of LLMs. It not only serves as a chatbot but also demonstrates powerful reasoning capabilities for complex problems, showcasing immense application prospects and potential.

The financial industry, which heavily relies on data analysis and information processing, has a significant demand for advanced AI technologies. Leveraging their strong capabilities in text comprehension, information extraction, reasoning, and prediction, LLMs hold substantial value in multiple financial scenarios. For instance, in investment analysis, they can assist analysts in quickly processing vast amounts of information and identifying market trends; in risk management, they enable real-time monitoring of potential risk factors; in customer service, they provide intelligent investment advice and financial planning recommendations; and in compliance and regulation, they facilitate automated document review and abnormal transaction detection. As technology continues to advance, the depth and breadth of LLM applications in the financial sector will expand further, driving the industry toward greater intelligence.

Speaker

Tao Lin holds a Master’s degree in Engineering and serves as a Financial Engineering Researcher at GF Securities. His primary research areas include artificial intelligence, machine learning, and quantitative investment strategies. He has published academic papers as the first author at the Chinese Conference on Pattern Recognition and Computer Vision and holds one computer software copyright (as the primary contributor). He has won awards in multiple international and national AI-related competitions organized by the National Natural Science Foundation of China and the International Conference on Computer Vision (ICCV).