Gongguan Zhang

Tencent Platform Intelligence Technology Architect

Years of data work experience responsible for data warehouse, data platform and algorithm system architecture design and engineering implementation related to search, push and square view data; after joining Tencent, he is mainly responsible for Tencent Sky Dome Big Data Platform's platform intelligent autonomy, data governance, intelligent related system architecture design, engineering implementation and business landing work.

Topic

Intelligent Exploration and Practice of Big Language Models in Big Data R&E Scenarios

It mainly introduces the intelligent system for big data research and effect scenarios constructed by combining with big language model, explains the construction idea in the process of landing practice, as well as the pain points, difficulties and solutions encountered in the middle. It also describes the reasoning ability of interactive intelligences enhanced by the big language model in three technical directions, i.e. digital warehouse intelligence, intelligent error correction and SQL intelligence, and shares some of the business results achieved in the process of business. Outline: 1、Industry Status of Big Data Research and Effectiveness Scenarios The possibility of combining big data research scenarios and big language models. 3, the construction idea of big data research scenarios 4. The exploration and practice of digital warehouse intelligence in big data research and effect scenarios. 5、The exploration and practice of problem root cause positioning in big data research and effect scenarios 6、Exploration and Practice of SQL Intelligence in Big Data Research Scenarios 7、Future Ideas of Intelligence in Big Data Research Scenarios