Applying Large Language Models for intelligent industrial automation

This paper explores the transformative potential of Large Language Models (LLMs) in industrial automation, presenting a comprehensive framework for their integration into complex industrial systems. We begin with a theoretical overview of LLMs, elucidating their pivotal capabilities such as interpretation, task automation, and autonomous agent functionality. A generic methodology for integrating LLMs into industrial applications is outlined, explaining how to apply LLM for task-specific applications. Four case studies demonstrate the practical use of LLMs across different industrial environments and illustrate the ability of LLMs to manage versatile tasks and interface with digital twins and automation systems. The results and findings indicate that efficiency and productivity improvements can be achieved by strategically deploying LLM technologies in industrial settings.