Using Large Language Models for Fluid Power System Design

The advent of Large Language Models (LLMs) has demonstrated considerable promise across various domains, including engineering system design, owing to their capabilities as few-shot or even single-shot learners. This paper investigates the integration of LLMs in the architectural design of fluid power systems for construction machinery. The primary contribution is the development of a methodology that transforms natural language inputs into formal architectural definitions, utilising micro-templates within prompts to enhance the repeatability and consistency of outputs.