TENCENT(HK:00700) Xin Lang Zheng Quan·2025-11-29 06:53Core Viewpoint - The financial industry has high standards for AI large models, focusing on compliance and content accuracy due to its data-intensive and risk-sensitive nature [1][2]. Group 1: Compliance and Accuracy Requirements - The financial sector's regulatory framework is stringent, necessitating adherence to laws and industry standards, making compliance the first hurdle for AI large models [1]. - The seriousness of financial services leads to a low tolerance for errors, as inaccuracies can directly impact customer asset safety and rights, thus requiring higher accuracy in content output [1]. Group 2: Differentiated Needs in Financial Sub-sectors - Different financial sub-sectors such as retail banking, corporate finance, securities, and insurance have varied requirements for AI large models [2]. - The development of solutions in these sub-sectors is described as a "spiral iteration," where improvements in specific applications enhance the foundational large model [2]. Group 3: Future Focus and Development Strategy - The company aims to continuously focus on compliance and precision needs within the financial industry, optimizing intelligent solutions through deep collaboration between foundational large models and specific applications [2]. - The strategy involves using a combination of "small models + large models" to enhance the effectiveness of AI applications across various financial sectors, facilitating efficient digital transformation under compliance [2].