Construction Semantics and Generative Pre-trained Transformer (GPT) Language Models

Ankur Mitra; Ahmed Hassan; Mark Mulville

doi:10.21427/8j8w-0956

Construction Semantics and Generative Pre-trained Transformer (GPT) Language Models

Ankur Mitra, Ahmed Hassan, Mark Mulville

School of Surveying and Construction Management

Research output: Contribution to journal › Article › peer-review

Abstract

The article explores the impact of ChatGPT, a powerful language model developed by OpenAI, on the construction industry. ChatGPT, with its ability to provide contextually accurate responses to a wide range of queries, has the potential to enhance safety, scheduling, and knowledge dissemination in construction. While it shows promise in tasks like hazard recognition and project scheduling, the article emphasizes the need for cautious optimism and human oversight. The construction industry could benefit from ChatGPT's digital assistance to boost productivity and address skills shortages, but it is essential to recognize the value of human expertise alongside AI advancements.

Original language	English
Journal	A-EYE Project
DOIs	https://doi.org/10.21427/8j8w-0956
Publication status	Published - 1 Jul 2023

Keywords

ChatGPT
construction industry
safety
scheduling
knowledge dissemination
hazard recognition
project scheduling
productivity
skills shortages
human expertise
AI advancements

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10.21427/8j8w-0956Licence: CC BY-NC-SA

Cite this

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KW - scheduling

KW - knowledge dissemination

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KW - project scheduling

KW - productivity

KW - skills shortages

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Construction Semantics and Generative Pre-trained Transformer (GPT) Language Models

Abstract

Keywords

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