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Large language models in complex system design

Published online by Cambridge University Press:  16 May 2024

Alejandro Pradas Gomez,
Petter Krus,
Massimo Panarotto and
Ola Isaksson
Alejandro Pradas Gomez*
Affiliation:
Chalmers University of Technology, Sweden
Petter Krus
Affiliation:
Linköping University, Sweden
Massimo Panarotto
Affiliation:
Chalmers University of Technology, Sweden
Ola Isaksson
Affiliation:
Chalmers University of Technology, Sweden
*
alejandro.pradas@chalmers.se

Abstract

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This paper investigates the use of Large Language Models (LLMs) in engineering complex systems, demonstrating how they can support designers on detail design phases. Two aerospace cases, a system architecture definition and a CAD model generation activities are studied. The research reveals LLMs' challenges and opportunities to support designers, and future research areas to further improve their application in engineering tasks. It emphasizes the new paradigm of LLMs support compared to traditional Machine Learning techniques, as they can successfully perform tasks with just a few examples.

Keywords

large language model (LLM)complex systemsartificial intelligence (AI)computer-aided design (CAD)knowledge-based engineering (KBE)

Information

Type
Artificial Intelligence and Data-Driven Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024, pp. 2197 - 2206
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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