Core Insights - Shanghai University of Finance and Economics (SUFE) has made significant progress in integrating finance education with artificial intelligence through the launch of the Kuangshi Financial Education Model [4][6] - The FinAgent, an intelligent financial research assistant developed by SUFE, can generate professional reports and simplified interpretations based on user queries, enhancing the efficiency and precision of financial research [1][5] Group 1: Model Development - The Kuangshi Financial Education Model is built on a high-quality financial corpus that integrates various academic resources, including textbooks, academic papers, and enterprise-level financial data [4][6] - SUFE has developed the first national financial R1 model, Fin-R1, and a financial model evaluation system, FinEval, to support the Kuangshi model [4][6] - The model employs advanced architectures and reinforcement learning algorithms to optimize the accuracy of financial knowledge reasoning and educational content adaptation [5][6] Group 2: Application and Integration - The Kuangshi model aims to serve diverse educational needs by incorporating human feedback from finance experts and educators to ensure practical and accurate content [6] - SUFE has established a unified AI teaching portal that integrates various intelligent applications for course design, student tracking, data management, and quality monitoring [6][7] - Collaborations with leading industry players, such as Alibaba and Ant Group, have been initiated to create innovation platforms focused on digital economy research and AI applications in finance [6][7] Group 3: Future Directions - SUFE plans to deepen the integration of education and industry, enhancing the foresight and leadership of its academic programs, particularly in financial AI and interdisciplinary studies [7] - The university has initiated a comprehensive reform plan for high-quality professional degree graduate education, focusing on the digital transformation of over 50 professional directions [7]

Core Insights - The "Kuangshi Financial Education Large Model" was officially launched at the Shanghai University of Finance and Economics, aiming to precisely serve the needs of financial education [1] - The model is based on the university's strong foundation in finance and advanced technology exploration, marking significant progress in integrating AI with financial education [1] Group 1: Model Development - The development of the model is rooted in the university's strengths in applied economics and other disciplines, creating a high-quality, multimodal corpus covering core subjects such as economics, finance, accounting, and statistics [1] - A standardized financial knowledge graph has been established, integrating vast information from classic textbooks, professional books, academic papers, journal literature, premium teaching resources, and enterprise-level financial data [1] - The university has independently developed the first national financial R1 class model, Fin-R1, and a financial model evaluation system, FinEval, providing solid technical support for the large model [1] Group 2: Application Ecosystem - The application ecosystem of the model emphasizes the dual drive of educational integration and industry-education collaboration, deploying intelligent applications across four major scenarios: teaching assistance, learning assistance, research assistance, and management assistance [2] - A unified AI teaching portal has been created, integrating functions such as knowledge graph navigation, intelligent Q&A, and learning situation diagnosis, forming a closed loop of "teaching-learning-evaluation" [2] - The university is actively collaborating with leading industry enterprises to build innovative platforms, enhancing the connection between academic research and industry practice, and providing students with more opportunities to engage with real business [2] Group 3: Future Directions - The university plans to deepen the "trinity" of industry-academia-research cooperation, focusing on the foresight and leadership of its academic and professional layout, particularly in the intersection of financial AI and other cutting-edge disciplines [2] - The goal is to continuously empower financial education and the financial industry, cultivating outstanding financial talents that meet the demands of the times, and contributing to high-quality social and economic development [2]