基于ChatGLM的应用程序日志分析系统  

Application log analysis system based on ChatGLM

作　　者：张世程 周梦广 ZHANG Shicheng;ZHOU Mengguang(AUX Group Co.,Ltd.,Hangzhou 310000,China;Lingbi County Second Middle School,Suzhou,Anhui 234000,China)

机构地区：[1]奥克斯集团有限公司,杭州310000 [2]灵璧县第二中学,安徽宿州234000

出　　处：《计算机应用文摘》2024年第11期104-105,109,共3页Chinese Journal of Computer Application

摘　　要：在以大语言模型为代表的人工智能技术高速发展下,自然语言处理技术发展日新月异,被广泛应用于生产生活。然而,应用程序日志随着数据量的提升变得越发复杂,难以实现高效地分析与处理。对此,文章提出了一种基于大语言模型ChatGLM的分析处理方法,同时设计了一个日志分析系统。该系统借助ChatGLM具有的高效文本建模能力,采用微服务架构设计及容器部署,达到了高效、省时、省力的目标,为大规模日志分析提供了一种有益的思路。Under the rapid development of artificial intelligence technology represented by large language models,natural language processing technology is advancing rapidly and is widely used in production and daily life.However,application logs become increasingly complex with the increase of data volume,making it difficult to achieve efficient analysis and processing.In this regard,the article proposes an analysis and processing method based on the large language model ChatGLM,and designs a log analysis system.The system utilizes the efficient text modeling capabilities of ChatGLM,adopts microservice architecture design and container deployment,and achieves the goals of efficiency,time-saving,and labor-saving,providing a beneficial approach for large-scale log analysis.

关 键 词：人工智能 大语言模型 日志分析 微服务 容器 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]