Recently, Shanghai University of Finance and Economics held the "Kuangshi Financial Education Large Model" release conference and Digital Intelligence New Finance Forum in Shanghai. This officially launched this innovative intelligent education platform. The large model aims to precisely meet the diverse needs of financial education, marking an important step for the university in deeply integrating financial education with artificial intelligence (AI).
Professor Zhang Liwen from the School of Statistics and Data Science at Shanghai University of Finance and Economics introduced that this large model fully relies on the rich background of the school's financial disciplines and advanced technical exploration, striving to build an intelligent platform serving various financial education scenarios. By integrating classic textbooks, professional books, academic papers, and corporate-level financial data, the project has established a high-quality multimodal corpus covering multiple core subjects such as economics, finance, accounting, and statistics, and has formed a standardized financial knowledge graph.
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In terms of technology development, Shanghai University of Finance and Economics not only independently developed the country's first financial R1-class large model Fin-R1 but also established a corresponding financial large model evaluation system FinEval, providing strong technical support for the "Kuangshi Financial Education Large Model." Additionally, relying on the hybrid intelligent computing platform of the "Kuangshi No. 1" computing cluster, the school achieved dynamic scheduling of computing resources, ensuring the stable and efficient operation of the large model.
The school emphasized that the application ecosystem construction of this large model will form a dual-wheel drive mode through the combination of technology and education, as well as the deep integration of education and industry. In the aspect of the integration of technology and education, the school launched intelligent applications covering "teaching assistance, learning assistance, research assistance, and administrative assistance," promoting the intelligence of business processes such as course design and academic tracking. In the aspect of the integration of education and industry, the school collaborated with several leading enterprises in the industry to jointly build innovation platforms, enhancing interaction between academic research and industrial practice, and providing students with more opportunities to engage with practical business.
In the future, Shanghai University of Finance and Economics will continue to deepen cooperation in production, education, and research, focusing on the cross-disciplinary integration of frontier disciplines, especially in the field of financial AI, to cultivate outstanding financial talents that meet the demands of the times and serve the high-quality development of the social economy.