Publication
Research Paper
Improving the Large Language Model Based Building Code Interpretation Support System(Archilaw)
Cho, Sangkyu Senior Research Fellow
Kim, Yonggook Research Fellow
Bang, Hongsoon Assistant Research Fellow
- Basic 2024-13
- 2024.12.31
- 5Page
- Hit 426
Summary
This study aims to enhance the effectiveness of a building code interpretation support system, leveraging large language models (LLMs) to address these challenges. By building on previous research, the study explores ways to overcome existing limitations and improve real-world applicability.
Contents
Quoting
APA
Cho, Sangkyu, Kim, Yonggook, Bang, Hongsoon. (2024). Improving the Large Language Model Based Building Code Interpretation Support System(Archilaw). Architecture & Urban Research Institute.
MLA
Cho, Sangkyu, Kim, Yonggook, Bang, Hongsoon. Improving the Large Language Model Based Building Code Interpretation Support System(Archilaw).Architecture & Urban Research Institute. 2024
Chicago
Cho, Sangkyu, Kim, Yonggook, Bang, Hongsoon. 2024. Improving the Large Language Model Based Building Code Interpretation Support System(Archilaw). Architecture & Urban Research Institute.
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