Research on the Application of Audit Knowledge Based on Large Language Models
With the development of artificial intelligence technology,application of large language models show increasing potential in multiple fields.In the field of government audit,the management and application of auditing knowledge face challenges such as knowledge dispersion,imbalance between supply and demand,and restricted utilization of sensitive information.The powerful natural language understanding and generation capabilities of large language models provide new solutions for the application of auditing knowledge,such as intelligent question and answer and unstructured document analysis.This paper discusses the design of an auditing knowledge application framework based on large language models,and forms a set of rational and efficient auditing knowledge management application system by constructing an auditing knowledge warehouse,designing an auditing knowledge management system,and auditing knowledge application scenarios.Through practice,we prove that large language model technology in the application of auditing knowledge management can effectively reduce labor costs,improve the application performance of knowledge,and provide a practical direction for the application of auditing knowledge.Finally,it proposes the exploration direction of improving the auditing knowledge management application system from three aspects:knowledge warehouse operation and maintenance,optimization of business application system,and intelligent auditing.
large language modelgovernment auditaudit knowledge managementaudit knowledge applicationknowledge warehouse
万方数据
维普
