GPT Models in Construction Industry: Opportunities, Limitations, and a
  Use Case Validation
Abdullahi Saka Ridwan Taiwo Nurudeen Saka Babatunde Salami Saheed Ajayi Kabiru Akande Hadi Kazemi
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.