Utilizing LLMs for Industrial Process Automation
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Abstract (arXiv)
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.
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References · 4
- 2021Evaluating Large Language Models Trained on Codecited by 8,053
- 2024DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentationcited by 30
- 2024AutoPLC: Generating Vendor-Aware Structured Text for Programmable Logic Controllerscited by 2
- 2020Data science on industrial data -- Today's challenges in brown field applicationscited by 1
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