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Du Xiaoman, together with Tsinghua SEM and others, released the “2024 Generative AI Application Report in the Financial Industry”. Experts analyze the application exploration of large models.

Du Xiaoman, together with Tsinghua SEM and others, released the “2024 Generative AI Application Report in the Financial Industry”. Experts analyze the application exploration of large models.


What challenges are currently faced in the application of large models in the financial field? What positive impacts have large models brought to the development of the financial industry? Focusing on the theme of “Exploration of the Application of Large Models in the Financial Field”, Du Xiaoman, together with Tsinghua University School of Economics and Management and others, released the “2024 Generative AI Application Report in the Financial Industry”. At the press conference, Wang Lei, chairman of Zhongke Wenge, talked about “Exploration of the Application of Large Model Technology in the Financial Field” and discussed the differences between general large models and domain large models from three aspects.

  ManyExperts gather at the press conference of “2024 Generative AI Application Report in the Financial Industry”

On January 24, 2024, the “2024 Generative AI Application Report in the Financial Industry” was co-sponsored by Tsinghua University School of Economics and Management, Du Xiaoman, MIT Technology Review China, and the Dynamic Competition and Innovation Strategy Research Center of Tsinghua University School of Economics and Management. 》The release and seminar were successfully held at the School of Economics and Management, Tsinghua University.

This event invited industry experts such as Wang Lei, researcher of the Chinese Academy of Sciences and chairman of Zhongke Wenge, Li Jizhen, professor and deputy dean of the School of Economics and Management of Tsinghua University, Xu Dongliang, chief technology officer of Du Xiaoman, from financial institutions, scientific research institutes, and Internet companies. Dozens of audiences attended the report release and seminar.

Picture | Wang Lei, researcher at the Chinese Academy of Sciences and chairman of Zhongke Wenge

  Wang Lei talks about “Exploration of the application of large model technology in the financial field”

Wang Lei, chairman of Zhongke Wenge, discussed “exploration of the application of large model technology in the financial field” from three aspects.

First, Wang Lei discussed in depth the differences between general large models and domain large models. Large model technology has the “four links” characteristics of smoothness, general knowledge, unobstructedness, and universality. The most exciting thing among them is the universal ability.

Regarding domain large models, Wang Lei believes that “there is no big difference between the two.” However, in terms of technical form, general large models focus more on the learning of event knowledge, while domain large models focus more on domain tasks.

From a business perspective, large models have three major business scenarios in the financial field: prediction and decision support, risk management and monitoring, and compliance supervision automation. From a technical perspective, related research mainly focuses on text processing, research analysis, time series forecasting, asset pricing, portfolio optimization and risk management, etc., and the application prospects are very broad.

Next, Wang Lei focused on sharing the large-scale Yayi model independently developed by the Zhongke Wenge team, as well as the extensive application cases of this model in the financial field. The Yayi large model has currently been iterated to version 2.0. It is the first batch of multi-lingual large models in China, with 30 billion parameters, a fully independent model architecture and fully independent intellectual property rights.

According to him, in cooperation with customers, the Yayi large model has achieved “mixed question and answer in simplified and traditional Chinese and English, cross-document long document analysis and reasoning, performance trends and complex data reasoning.”

Wang Lei talked about “the application exploration of large model technology in the financial field” from three aspects, and shared the Yayi large model independently developed by the Zhongke Wenge team, which provided new ideas for promoting the implementation of large models in the financial field. In the field of large model technology, Du Xiaoman has been taking the lead in laying out the layout. The release of the “2024 Generative AI Application Report in the Financial Industry” also guides the direction for the implementation of large models in the financial industry. In the future, Du Xiaoman will continue to innovate large model technology to provide technological support for industry development.



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