Utilizing large language models for semantic enrichment of infrastructure condition data: a comparative study of GPT and Llama models

Abstract Relational databases containing construction-related data are widely used in the Architecture, Engineering, and Construction (AEC) industry to manage diverse datasets, including project management and building-specific information. This study explores the use of large language models (LLMs)...

Full description

Saved in:
Bibliographic Details
Main Authors: Lea Höltgen, Sven Zentgraf, Philipp Hagedorn, Markus König
Format: Article
Language:English
Published: Springer Nature 2025-06-01
Series:AI in Civil Engineering
Subjects:
Online Access:https://doi.org/10.1007/s43503-025-00055-9
Tags: Add Tag
No Tags, Be the first to tag this record!