Optimizing Revit Structural Intelligent Models with Large Language Models and Autodesk Platform Services

This session will explore how language learning models (LLMs) can be integrated with Autodesk Platform Services APIs for optimization of hyperparameters like structural design, reduction of material usage, and embodied carbon. We'll demonstrate this using Autodesk Platform Services to extract building information modeling (BIM) data from Revit models to train LLMs, generating intelligent-design suggestions. The optimized designs are later visualized in Autodesk Platform Services Autodesk Viewer, clearly identifying improvements. Using sample Revit models, we'll showcase how this approach has led to substantial reductions in material consumption and carbon emissions, such as a 25% reduction in steel usage and a 30% decrease in embodied carbon. Discover how using AI and Autodesk Platform Services can create more-sustainable, more-efficient, and more-innovative structural designs, driving the industry toward a greener future.