Research and Application of Intelligent Writing Technology for Electric Power Documents Based on Large Models

This paper studies the intelligent writing technology of power documents based on large model, and realizes the automatic generation and optimization of power documents through user portrait construction, personalized expression generation, memory and learning mechanism, etc. The system can analyze users' historical data and preferences, generate personalized documents, and continuously optimize through dynamic update and enhanced learning mechanism, ultimately improve the efficiency and quality of power document writing, and help the digital transformation of the power industry.