China's Elite Model Seeks New Harmony——Tsinghua University's "Jingtian Xinyue" Thought Practice Team Explores Beijing to Foster Social Practice

The team had an exchange with Wang Wei, partner of Beijing Tianyuan Law Firm.

Innovative development in the financial field provides new impetus for high-quality development. On August 2nd, the team members had an exchange with Wang Wei, partner of Beijing Tianyuan Law Firm, discussing the overall situation and industry development of private equity funds from various aspects such as regulatory laws, market conditions, legal structures, and obligations. During the exchange, team members learned that quantitative investment, as a core branch of private equity funds, is undergoing a smart transformation. The integration of large models with quantification not only reduces the operating costs of small funds but also reshapes the industry ecosystem. Currently, many medium-sized teams are exploring flexible modes to land technology, injecting new vitality into high-quality development in fintech.

The team had an exchange with Li Pengfei, founder and CEO of Shuo Technology, and Wang Hao, chief technology officer of Daochu Gold.

The deepening development of fintech relies on the innovative application of large models in specific fields. On August 3rd morning, team members had an exchange with Li Pengfei, founder and CEO of Shuo Technology, and Wang Hao, chief technology officer of Daochu Gold, learning about the applications of large models and artificial intelligence in financial research, enterprise digital credit, and academic resources. Li Pengfei's team built a platform that uses large language models to process academic data, achieving functions such as information batching, paper video presentation, and cumulative services for 200,000 academics. Wang Hao focused on enterprise digital credit, explaining the applications of big data and machine learning: by integrating commercial, judicial, and other data to build risk control models, using logistic regression algorithms to assess corporate credit, and combining industry chain map technology, they have helped banks complete 3 billion yuan in financing for small and micro enterprises, showcasing the practical value of large models in quantitative risk control.

The team visited Beijing Zhongchengxin Asset Management Co., Ltd.

The development and innovation of the quantitative investment industry is an important manifestation of fintech embracing new production forces. On August 3rd afternoon, the team visited Beijing Zhongchengxin Asset Management Co., Ltd., having an exchange with Chairman Zhang Kangwei and Investment Director Wu Yao, focusing on the current situation and applications of large models in quantitative investments. In the context of quantitative investments, Chairman Zhang pointed out that the core ability of large models lies in NLP and common sense understanding, but direct application in investment still exists with illusions, divisions, and instability, requiring further optimization combining financial field-specific data. Currently, teams are exploring multi-agent modes to simulate quantitative companies' roles, enhancing professionalism while trying to use large models to extract factors, solving stability and statistical validity issues. Team members gained a keen understanding of the potential and challenges of large models in quantitative investments through the exchange.

This journey of practice in the fields of finance and quantification is a dynamic annotation of "Jingtian Xinyue" Thought Practice Team's exploration of new production forces. From the intelligent transformation of private equity funds to the dissemination of academic resources, team members not only witnessed the multi-dimensional breakthroughs of large models in the financial battlefield but also completed the leap from theoretical cognition to practical insight through dialogue with industry pioneers. This accumulated thinking will become the foundation for their future endeavors in technological innovation and participation in high-quality development.

(Correspondent: Wang Siduan)

(Responsible Editor: He Xin)