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)...
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| Main Authors: | Lea Höltgen, Sven Zentgraf, Philipp Hagedorn, Markus König |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-06-01
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| Series: | AI in Civil Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43503-025-00055-9 |
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