Core Viewpoint - The article discusses the transition of large models in the financial industry from pilot projects to mass production by 2025, driven by improved regulations, reduced computing costs, and the integration of large models into core business processes, ultimately enhancing competitive advantage [5][20]. Development Path - By 2025, the financial industry is expected to reach a turning point for large model implementation, with regulations and guidelines being established, and GPU rental prices significantly decreasing, making these models accessible to a wider range of institutions [5]. - The consensus among financial institutions has shifted from whether to adopt large models to how to implement them more efficiently and effectively, influenced by the maturation of regulatory frameworks, model capabilities, costs, and ecosystem development [5]. Benchmark Construction - The industry has lacked a rigorous evaluation system tailored to real business scenarios, which has led to the development of benchmarks that convert real business pain points into assessment frameworks, focusing on core capabilities such as numerical calculation and trend prediction [8][9]. - These benchmarks typically include thousands of bilingual samples and assess models across various tasks, ensuring that evaluations reflect real-world applications and capabilities [8]. Practical Applications - Large model technology is deeply integrated into core business scenarios such as investment advisory and research, transforming financial services and enhancing operational efficiency [11]. - Financial intelligent platforms have emerged, capable of supporting millions of daily active users, combining tools, services, and compliance to address core pain points in financial technology innovation [12]. Industry Empowerment - The integration of large models is expected to enhance the quality of investment advisory and research services, addressing inefficiencies and subjective biases inherent in traditional methods [17]. - Smaller financial institutions can leverage standardized services and solutions provided by large models to overcome technological barriers, allowing them to innovate without significant resource investment [19]. Future Outlook - The selection criteria for suppliers are evolving from mere technical delivery to strategic collaboration and demonstrable effectiveness, requiring suppliers to excel in accuracy, compliance, and innovative business model support [21]. - As large model applications continue to evolve, the industry is expected to move towards a more integrated ecosystem, fostering collaboration among regulators, institutions, and investors to build a secure and inclusive financial intelligence environment [24].