Transforming Construction Practices with Large Language Models

9 pages•Published: May 26, 2024

Abstract

This paper investigates the diverse applications of Large Language Models (LLMs) in the construction industry, emphasizing their transformative role in supporting human decision-making, enhancing efficiency, and improving accuracy in various tasks. The study explores LLMs' capabilities in key areas such as document analysis and quality control, data processing and information retrieval, content creation and management, and the development of interactive and customized systems. Through real-world examples, we illustrate how LLMs are driving innovation and progress in construction. These applications showcase LLMs' effectiveness in elevating operational efficiency, from nuanced document analysis to the advancement of interactive system development, fundamentally transforming the approach to construction management.

Keyphrases: automation in construction, generative ai, large language models, natural language processing

In: Tom Leathem, Wes Collins and Anthony Perrenoud (editors). Proceedings of 60th Annual Associated Schools of Construction International Conference, vol 5, pages 414-422.

Links:	https://easychair.org/publications/paper/brCz
	https://doi.org/10.29007/hb2g

BibTeX entry

@inproceedings{ASC2024:Transforming_Construction_Practices_with,
  author    = {Ehsan Ahmadi and Chao Wang},
  title     = {Transforming Construction Practices with Large Language Models},
  booktitle = {Proceedings of 60th Annual Associated Schools of Construction International Conference},
  editor    = {Tom Leathem and Wes Collins and Anthony Perrenoud},
  series    = {EPiC Series in Built Environment},
  volume    = {5},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2632-881X},
  url       = {/publications/paper/brCz},
  doi       = {10.29007/hb2g},
  pages     = {414-422},
  year      = {2024}}

Download PDF Open PDF in browser