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 sequences of numerous commands. With the rapid advancement of large language models (LLMs), it is foreseeable that BIM tasks, including querying and managing BIM data, 4D and 5D BIM, design compliance checking, or authoring a design, using written or spoken natural language (i.e., text-to-BIM or speech-to-BIM), will soon supplant traditional graphical user interfaces. This paper proposes a generalized LLM-augmented BIM framework to expedite the development of LLM-enhanced BIM applications by providing a step-by-step development process. The proposed framework consists of six steps: interpret-fill-match-structure-execute-check. The paper demonstrates the applicability of the proposed framework through implementing a speech-to-BIM application, NADIA-S (Natural-language-based Architectural Detailing through Interaction with Artificial Intelligence via Speech), using exterior wall detailing as an example.

翻译：执行建筑信息模型（BIM）任务是一个复杂的过程，由于需要记忆大量命令序列，其学习曲线陡峭且认知负荷沉重。随着大语言模型（LLM）的快速发展，可以预见，使用书面或口头自然语言（即文本转BIM或语音转BIM）来执行BIM任务——包括查询和管理BIM数据、4D与5D BIM、设计合规性检查或设计创作——将很快取代传统的图形用户界面。本文提出了一种广义的LLM增强BIM框架，通过提供一个分步开发流程，以加速LLM增强型BIM应用的开发。该框架包含六个步骤：解释-填充-匹配-结构化-执行-检查。本文通过实现一个语音转BIM应用——NADIA-S（基于自然语言的语音交互人工智能建筑详图设计），并以外墙详图设计为例，论证了所提框架的适用性。