Research on the application of knowledge enhanced LLM in fault analysis of information system
The typical fault analysis and processing tasks of information system are highly dependent on empirical data.Apply-ing large language model(LLM)to this professional task can significantly improve the efficiency and accuracy of fault analysis and processing.However,there are issues such as low accuracy,insufficient and outdated knowledge when using LLM in the profes-sional knowledge answering tasks.Therefore,a fault analysis system based on fine-tuning LLM and knowledge enhanced framework is designed.The system uses LoRA to fine-tune ChatGLM2-6B on the knowledge data of fault analysis,and integrates LLM with the knowledge base of fault analysis through LangChain.Comparative experiments show that the system has better performance in the subjective question-and-answer task of fault analysis,and improves the accuracy and automation level of fault analysis in informa-tion system.
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