Core Insights - The seminar titled "Large Model Technology Ecosystem and Application Practice" was held at the Chinese University of Hong Kong (Shenzhen) to educate students on the intersection of technology and finance [1][2] - The session was led by a senior architect from the AI development team at China Merchants Securities, focusing on the principles of large model technology and its applications in financial scenarios [1][2] Group 1: Theoretical Framework - The lecture began with an introduction to the basic concepts and development history of large models, covering core architectures, training processes, and key technologies [2] - It included an analysis of typical models such as Stable Diffusion and Transformer, explaining the production steps and reasoning optimization methods of large language models [2] Group 2: Practical Applications in Finance - The speaker highlighted various applications of AI in the financial sector, including intelligent investment advisory, investment decision-making, and AI-native applications [3] - International case studies were shared to illustrate how large models are reshaping the business logic and ecological structure of the securities industry [3] Group 3: Career Development and Future Initiatives - The seminar provided career development advice and recommended quality learning resources for students aspiring to enter the fintech field [3] - China Merchants Securities plans to continuously improve course content and teaching methods to build a solid learning and practice platform for fintech talent [3]