A growing number of publications address the best practices to use Large Language Models (LLMs) for software engineering in recent years. However, most of this work focuses on widely-used general purpose programming languages like Python due to their widespread usage training data. The utility of LLMs for software within the industrial process automation domain, with highly-specialized languages that are typically only used in proprietary contexts, remains underexplored. This research aims to utilize and integrate LLMs in the industrial development process, solving real-life programming tasks (e.g., generating a movement routine for a robotic arm) and accelerating the development cycles of manufacturing systems.

翻译：近年来，越来越多的出版物探讨了在软件工程中使用大型语言模型（LLMs）的最佳实践。然而，由于训练数据的广泛性，这些工作大多集中于Python等广泛使用的通用编程语言。在工业过程自动化领域，软件通常使用高度专业化且仅在专有环境中使用的语言，LLMs在此类软件中的应用价值仍未得到充分探索。本研究旨在将LLMs应用于并整合到工业开发流程中，以解决实际编程任务（例如生成机械臂的运动例程），从而加速制造系统的开发周期。