面向业务流程管理的大型语言模型:机遇与挑战

Maxim Vidgof, Stefan Bachhofner, J. Mendling
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引用次数: 8

摘要

大型语言模型是具有大量参数的深度学习模型。这些模型在大量任务上取得了显著的进展,因此它们可以作为各种应用程序的有价值和通用的工具。它们的功能也为业务流程管理提供了机会,然而,这些机会还没有被系统地研究过。在本文中,我们通过展望BPM生命周期的各种管理任务来解决这个研究问题。我们调查了六个研究方向,突出了在使用大型语言模型时需要解决的问题,包括从业者的使用指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large Language Models for Business Process Management: Opportunities and Challenges
Large language models are deep learning models with a large number of parameters. The models made noticeable progress on a large number of tasks, and as a consequence allowing them to serve as valuable and versatile tools for a diverse range of applications. Their capabilities also offer opportunities for business process management, however, these opportunities have not yet been systematically investigated. In this paper, we address this research problem by foregrounding various management tasks of the BPM lifecycle. We investigate six research directions highlighting problems that need to be addressed when using large language models, including usage guidelines for practitioners.
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