GPT Models in Construction Industry: Opportunities, Limitations, and a Use Case Validation

Fuente: arXiv
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Main Authors: Saka, Abdullahi, Taiwo, Ridwan, Saka, Nurudeen, Salami, Babatunde, Ajayi, Saheed, Akande, Kabiru, Kazemi, Hadi
Format: Preprint
Published: 2023
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_version_ 1866910535829684224
author Saka, Abdullahi
Taiwo, Ridwan
Saka, Nurudeen
Salami, Babatunde
Ajayi, Saheed
Akande, Kabiru
Kazemi, Hadi
author_facet Saka, Abdullahi
Taiwo, Ridwan
Saka, Nurudeen
Salami, Babatunde
Ajayi, Saheed
Akande, Kabiru
Kazemi, Hadi
contents Large Language Models(LLMs) trained on large data sets came into prominence in 2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from OpenAI have been released. These models perform well on diverse tasks and have been gaining widespread applications in fields such as business and education. However, little is known about the opportunities and challenges of using LLMs in the construction industry. Thus, this study aims to assess GPT models in the construction industry. A critical review, expert discussion and case study validation are employed to achieve the study objectives. The findings revealed opportunities for GPT models throughout the project lifecycle. The challenges of leveraging GPT models are highlighted and a use case prototype is developed for materials selection and optimization. The findings of the study would be of benefit to researchers, practitioners and stakeholders, as it presents research vistas for LLMs in the construction industry.
format Preprint
id arxiv_https___arxiv_org_abs_2305_18997
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle GPT Models in Construction Industry: Opportunities, Limitations, and a Use Case Validation
Saka, Abdullahi
Taiwo, Ridwan
Saka, Nurudeen
Salami, Babatunde
Ajayi, Saheed
Akande, Kabiru
Kazemi, Hadi
Human-Computer Interaction
Artificial Intelligence
Computation and Language
Large Language Models(LLMs) trained on large data sets came into prominence in 2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from OpenAI have been released. These models perform well on diverse tasks and have been gaining widespread applications in fields such as business and education. However, little is known about the opportunities and challenges of using LLMs in the construction industry. Thus, this study aims to assess GPT models in the construction industry. A critical review, expert discussion and case study validation are employed to achieve the study objectives. The findings revealed opportunities for GPT models throughout the project lifecycle. The challenges of leveraging GPT models are highlighted and a use case prototype is developed for materials selection and optimization. The findings of the study would be of benefit to researchers, practitioners and stakeholders, as it presents research vistas for LLMs in the construction industry.
title GPT Models in Construction Industry: Opportunities, Limitations, and a Use Case Validation
topic Human-Computer Interaction
Artificial Intelligence
Computation and Language
url https://arxiv.org/abs/2305.18997