Opportunities and challenges of generative ai in construction industry: Focusing on adoption of text-based models

P Ghimire, K Kim, M Acharya - Buildings, 2024 - mdpi.com
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …

[HTML][HTML] Generative AI Applications in Architecture, Engineering, and Construction: Trends, Implications for Practice, Education & Imperatives for Upskilling—A Review

D Onatayo, A Onososen, AO Oyediran, H Oyediran… - Architecture, 2024 - mdpi.com
This study investigates the current landscape of generative AI and LLM applications in
architecture, engineering, and construction (AEC), focusing on trends, practical implications …

Integrating Building Information Modelling (BIM) with ChatGPT, Bard, and similar generative artificial intelligence in the architecture, engineering, and construction …

N Rane, S Choudhary, J Rane - Bard, and similar generative …, 2023 - papers.ssrn.com
The architecture, engineering, and construction (AEC) sector is currently experiencing a
profound shift in its paradigm through the incorporation of Building Information Modelling …

Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in architectural design and engineering: applications, framework, and challenges

N Rane, S Choudhary, J Rane - 2023 - papers.ssrn.com
This research paper delves into the integration of advanced generative artificial intelligence
(AI) models, such as ChatGPT, Bard, and similar architectures, within the realms of …

[HTML][HTML] A gpt-powered assistant for real-time interaction with building information models

D Fernandes, S Garg, M Nikkel, G Guven - Buildings, 2024 - mdpi.com
This study introduces DAVE (Digital Assistant for Virtual Engineering), a Generative Pre-
trained Transformer (GPT)-powered digital assistant prototype, designed to enable real-time …

Automated detailing of exterior walls using NADIA: Natural-language-based architectural detailing through interaction with AI

S Jang, G Lee, J Oh, J Lee, B Koo - Advanced Engineering Informatics, 2024 - Elsevier
Learning building information modeling (BIM) systems has always been a challenge for BIM
adoption. Although groundbreaking performances of large language models (LLMs) have …

[PDF][PDF] The Influence of Deep Learning Models on Building Information Modeling (BIM) Methods: A Study on Generative AI Approaches

VM Yönder - 2023 - sciforum.net
METHOD The implementation of virtual design and construction (VDC) and digital twin (DT)
methodologies plays a crucial role in the digital transformation of the construction sector …

A Generalized LLM-Augmented BIM Framework: Application to a Speech-to-BIM system

G Lee, S Jang, S Hyun - arXiv preprint arXiv:2409.18345, 2024 - arxiv.org
Performing building information modeling (BIM) tasks is a complex process that imposes a
steep learning curve and a heavy cognitive load due to the necessity of remembering …

Understanding the Impact of Deep Learning Models on Building Information Modeling Systems: A Study on Generative Artificial Intelligence Tools

VM Yönder - Engineering Proceedings, 2023 - mdpi.com
The power of the relationship between building information modeling (BIM) systems and
advanced artificial intelligence models holds considerable weight for users of BIM. This …

[PDF][PDF] Towards a copilot in BIM authoring tool using large language model based agent for intelligent human-machine interaction

C Du, S Nousias, A Borrmann - … . of the 31th Int. Conference on …, 2024 - mediatum.ub.tum.de
Facing increasingly complex BIM authoring software and the accompanying expensive
learning costs, designers often seek to interact with the software in a more intelligent and …