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.

翻译：本研究探索了生成式人工智能模型，特别是OpenAI的生成式预训练变压器系列，在集成建筑信息建模工具时作为建筑设计交互式设计助手的潜力。研究涉及三个关键组件的开发与实施：1) BIM2XML，一个将BIM数据转换为可扩展标记语言格式的组件；2) 生成式AI赋能的交互式建筑设计，一个通过识别设计意图、相关对象及其属性并利用预训练语言模型优化XML中输入设计的组件；以及3) XML2BIM，一个将AI生成的XML数据转换回BIM工具的组件。本研究通过一个涉及设计细节的案例研究，使用GPT系列和Revit对所提方法进行了验证。我们的研究结果证明了最先进语言模型在促进建筑师与AI系统动态协作方面的有效性，突显了进一步发展的潜力。