Summary of Generative Ai in the Construction Industry: a State-of-the-art Analysis, by Ridwan Taiwo et al.
Generative AI in the Construction Industry: A State-of-the-art Analysis
by Ridwan Taiwo, Idris Temitope Bello, Sulemana Fatoama Abdulai, Abdul-Mugis Yussif, Babatunde Abiodun Salami, Abdullahi Saka, Tarek Zayed
First submitted to arxiv on: 15 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Human-Computer Interaction (cs.HC); Information Retrieval (cs.IR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper presents a comprehensive analysis of generative artificial intelligence (AI) in the construction industry. The authors aim to fill the gap in existing literature by reviewing emerging opportunities and challenges of generative AI in construction. They propose a framework for construction firms to develop customized generative AI solutions using their own data, comprising steps such as dataset curation, training large language models, model evaluation, and deployment. A case study demonstrates the effectiveness of this framework in developing a generative model for querying contract documents. The results show that retrieval augmented generation (RAG) improves the baseline large language model by 5.2%, 9.4%, and 4.8% in terms of quality, relevance, and reproducibility. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper explores how artificial intelligence can help the construction industry. It looks at what AI can do, like creating new data or content, and how it could make processes better. The authors want to know more about what’s already being done with this kind of technology in construction, what challenges there are, and how it could be used to improve things. They come up with a plan for companies to use their own data to create custom AI solutions. They test this plan using an example from contract documents. The results show that using AI can make things better by 5%, 9%, and 4%. |
Keywords
* Artificial intelligence * Generative model * Large language model * Rag * Retrieval augmented generation
