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The standard of the first large model of the financial industry in China was released, which was jointly compiled by Tencent, iFLYTEK and other companies led by Cina.

2025-04-17 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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According to a report from China Standardization official account on September 21, CTOnews.com, led by China Information and Communication Institute, jointly developed the "Industry-oriented large-scale pre-training Model Technology and Application Evaluation Methodology, part 1: financial Big Model," jointly developed by more than 40 enterprises, including Tencent Cloud, Qifu Technology, and iFLYTEK, the day before yesterday, which is the first large model standard for the financial industry in China.

▲ image source "China Standardization" official account CTOnews.com learned after inquiry that the relevant "standards" have not yet been officially announced. Officials say the standard covers the key capability requirements of financial models, including scenario adaptation, capability support and application maturity.

In addition, the official also claimed that the standard "starts from the characteristics of the financial industry." it covers a number of financial application scenarios, such as investment research, investment advisers, risk management, marketing, customer service, and "details the requirements of the financial model in terms of data compliance, traceability, privatization deployment, risk control, and so on."

A person in charge of Tencent Cloud said that the official release of this standard means that there is an important guidance and basis for the evaluation and acceptance of large model technology and applications in the financial industry.

Chai Hongfeng, academician of the Chinese Academy of Engineering and director of the Institute of Financial Science and Technology of Fudan University, also pointed out at the 2023 National Cyber Security week Forum that the application of large models in the financial vertical field is currently facing some challenges:

First, the privacy of financial data limits the ability to share and build large-scale data sets.

Second, the multimodal characteristics of financial data increase the complexity of model processing and modeling. In order to overcome these problems, it is imperative to strengthen the cooperation of industry, university and research, and it is necessary to build a more powerful basic model of financial vertical domain in order to improve the expression ability and security of the large model to multimodal data.

At present, this "financial industry large model standard" is expected to provide support for the intelligent development of the financial industry, and provide a certain guarantee for promoting the safety, compliance and credible development of the large model.

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