金融领域专属的多模态大模型(MLLM)

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奇富科技费浩峻:AI赋能小微金融成新趋势
Zheng Quan Ri Bao Zhi Sheng· 2025-09-23 09:15
Core Insights - The 10th Huawei Connect Conference (HUAWEI CONNECT 2025) recently opened in Shanghai, where QiFu Technology's Chief Algorithm Scientist, Fei Haojun, discussed the company's advancements in financial decision-making engines for small and micro enterprises using large model technology [1][3]. Group 1: Industry Challenges - Small and micro finance faces three core challenges: low data transparency leading to a lack of effective decision-making basis, high diversity of enterprise types resulting in disorganized data formats, and traditional risk control models relying heavily on statistics and decision trees, lacking deep causal and logical reasoning capabilities [3]. Group 2: Technological Advancements - QiFu Technology is upgrading three core capabilities: perception, cognition, and logical decision-making to build a new generation of intelligent decision engines [3][4]. - In the perception layer, the company has developed a financial-specific multimodal large model (MLLM) that accurately analyzes vast amounts of non-standard documents like bank statements and income certificates, showing significant advantages in accuracy and recall compared to mainstream open-source models [3][4]. - In the cognition layer, QiFu has created three knowledge graphs covering 33 million enterprise entities, enabling deep understanding of industry characteristics and complex relationships by linking macroeconomic data with business and legal information [3][4]. Group 3: Decision-Making Innovations - The company has developed a reasoning large model (Reasoning LLM) for risk management in small and micro enterprises, which features full transparency and traceability in its decision-making process, supported by long-chain reasoning data construction and reinforcement learning mechanisms [4]. - This "perception-cognition-decision" integrated technology architecture aims to significantly enhance operational efficiency and risk control accuracy for financial institutions while providing deep understanding and precise services for each small and micro enterprise [4][5]. Group 4: Future Directions - QiFu Technology plans to continue advancing technology openness and ecosystem collaboration, aiming to extend its capabilities to more financial institutions and promote smarter, more inclusive, and sustainable financial services for small and micro enterprises, positioning Chinese solutions for global service [5].