Large language models in complex system design
Alejandro Pradas Gómez, Petter Krus, Massimo Panarotto, Ola Isaksson
Abstract
Abstract 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.
Topics & Concepts
Computer scienceLinguisticsProgramming languageCognitive sciencePsychologyPhilosophyAdvanced Data Processing Techniques