A Large Language Model Driven Intelligent Generation Method of Report Template

Intelligent report generation is an important part of the intelligent writing field, aiming to enable computers to analyze and integrate existing information and generate matching report content. There are already many research works on report generation based on template, but most report templates are manually designed and customized. The generation of report templates is not flexible enough, and the work of manually creating report templates is labor-intensive, repetitive, and inefficient. To solve these problems, this paper applies large language model to report template generation and proposes a large language model driven intelligent generation method of report template, which can dynamically and intelligently generate report templates according to the report theme and user needs, thereby improving the efficiency of report template generation.