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Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Generative large language models in engineering design: opportunities and challenges

Filippo Chiarello (1), Simone Barandoni (1), Marija Majda Škec (2), Gualtiero Fantoni (1)

Type:
Papers
DS 129: Proceedings of the DESIGN2024 18th International Design Conference
Year:
2024
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović, Neven Pavković, Marija Majda Škec
Author:
Filippo Chiarello (1), Simone Barandoni (1), Marija Majda Škec (2), Gualtiero Fantoni (1)
Series:
DESIGN
Institution:
1: University of Pisa, Italy; 2: University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1959-1968
DOI number:
10.1017/pds.2024.198
ISSN:
2732-527X (Online)
Abstract:
Despite the rapid advancement of generative Large Language Models (LLMs), there is still limited understanding of their potential impacts on engineering design (ED). This study fills this gap by collecting the tasks LLMs can perform within ED, using a Natural Language Processing analysis of 15,355 ED research papers. The results lead to a framework of LLM tasks in design, classifying them for different functions of LLMs and ED phases. Our findings illuminate the opportunities and risks of using LLMs for design, offering a foundation for future research and application in this domain.
Keywords:
artificial intelligence (AI), design process, generative AI, large language model (LLM), natural language processing (NLP)
18th International Design Conference (DESIGN 2024)
Conferences

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