Building PCC

Building, in the context of recent research, encompasses a broad range of activities leveraging AI to create and analyze various types of structures, from virtual 3D worlds and knowledge graphs to physical buildings and complex AI agent systems. Current research focuses on developing efficient algorithms and model architectures, such as graph neural networks and transformer-based LLMs, to improve the accuracy and scalability of building processes, including data generation, classification, and prediction. These advancements have significant implications for diverse fields, enabling improved urban planning, enhanced AI agent capabilities, and more efficient development of large language models.