Research on LLM-based Question-Answering System for BIM Forward Design
In forward design,designers can design and manage construction projects by BIM technol-ogy to support decision-making.However,the process of information processing and knowledge sha-ring in BIM forward design still faces many challenges,especially in terms of quickly accessing and applying complex construction regulations and design knowledge.To address these issues,this study designed a BIM forward design Q&A system based on large language model(LLM),aiming to explore the practical application of LLM in BIM forward design scenarios.By adopting a QLoRA-based LLM fine-tuning approach,the model professionalism is enhanced and a local knowledge base is built to develop the Q&A system.Finally,the system is evaluated using both subjective and objective perform-ance metrics,and professional Q&A comparative analysis.Experimental results show that the system performs well in the professional domain by generating suggestions and solutions for specific design scenarios,which validate its feasibility and superiority.
forward designBIMlarge language modelprofessional Q&A
万方数据
维普
