  This study explores the potential of generative artificial intelligence (AI)
models, specifically OpenAI's generative pre-trained transformer (GPT) series,
when integrated with building information modeling (BIM) tools as an
interactive design assistant for architectural design. The research involves
the development and implementation of three key components: 1) BIM2XML, a
component that translates BIM data into extensible markup language (XML)
format; 2) Generative AI-enabled Interactive Architectural design (GAIA), a
component that refines the input design in XML by identifying designer intent,
relevant objects, and their attributes, using pre-trained language models; and
3) XML2BIM, a component that converts AI-generated XML data back into a BIM
tool. This study validated the proposed approach through a case study involving
design detailing, using the GPT series and Revit. Our findings demonstrate the
effectiveness of state-of-the-art language models in facilitating dynamic
collaboration between architects and AI systems, highlighting the potential for
further advancements.
