使用基于大型语言模型的上机解决方案提高软件系统的可靠性

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY
Ioan Cristian Schuszter, Marius Cioca
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引用次数: 0

摘要

软件系统通常由一批经验丰富的软件开发人员维护,以确保减少可能导致系统瘫痪的故障。欧洲核子研究中心(CERN)等机构的人员流动性很大,因此必须想办法让技术项目的新人快速入职。本文的重点是,通过使用知识渗透的大型语言模型,并利用小组或团队内部文档中的特定领域知识对该模型进行增强,从而优化人们熟悉业务逻辑和项目技术的方式。这种方法的新颖之处在于汇集了所有这些不同的开源方法来开发聊天机器人,并将其用于工业用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increasing the Reliability of Software Systems Using a Large-Language-Model-Based Solution for Onboarding
Software systems are often maintained by a group of experienced software developers in order to ensure that faults that may bring the system down are less likely. Large turnover in organizations such as CERN makes it important to think of ways of onboarding newcomers on a technical project rapidly. This paper focuses on optimizing the way that people get up-to-speed on the business logic and technologies used on the project by using a knowledge-imbued large language model that is enhanced using domain-specific knowledge from the group or team’s internal documentation. The novelty of this approach is the gathering of all of these different open-source methods for developing a chatbot and using it in an industrial use-case.
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来源期刊
Inventions
Inventions Engineering-Engineering (all)
CiteScore
4.80
自引率
11.80%
发文量
91
审稿时长
12 weeks
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