In today's rapidly changing financial technology, financial institutions' demand for efficient and secure model deployment capabilities is increasing. In order to meet this challenge, recently, Haitong Securities, a well-known domestic brokerage firm, invited Mr. Xu Yang, a senior expert of the CDA Data Science Research Institute, to hold a special training entitled "Frontier Strategies for Model Deployment and Release" for the technical personnel of the headquarters and branches.

Mr. Xu Yang first explained the basic knowledge of the big model in depth from the theoretical level, the access and deployment release of the model, and emphasized the key role of seamless docking from model development to production environment deployment for the business efficiency and risk management of financial institutions. Subsequently, he introduced in detail the best practices of current model deployment, including containerization technology, continuous integration/continuous deployment process, and API access and multi-round/stream dialogue of large models. In particular, Mr. Xu Yang also shared several successful cases, showing how to use advanced technical frameworks to effectively shorten the difficulty of model deployment while ensuring model performance and security. It also enhances the core competitiveness of Haitong Securities in big data analysis, machine learning model application and automated deployment.

During the interactive session, the technical staff of Haitong Securities actively asked questions and held a heated discussion on issues such as model version control, framework use experience, and AI ethics and compliance. Mr. Xu Yang answered patiently one by one, and the atmosphere at the scene was lively, which fully reflected the enthusiasm and attention of both sides to technological innovation and practical application.

The head of the technical department of Haitong Securities said: "Mr. Xu Yang's training has opened up a new horizon for us, which not only deepens our understanding of the latest technology of model deployment, but also provides valuable ideas for our future exploration in the field of intelligent finance. We believe that through continuous learning and practice, Haitong Securities can make better use of the power of data science to provide customers with more personalized and intelligent services.

In the future, the two sides will continue to deepen exchanges and cooperation, jointly optimize the training content, and help improve the skills of enterprise talents.