Developed by a research team at Stanford University, this multimodal language model framework aims to unify verbal and non-verbal communication within 3D human motion. The model can understand and generate multimodal data that includes text, voice, and actions, which is crucial for creating virtual characters capable of natural communication. It has broad applications in gaming, filmmaking, and virtual reality. Key advantages of this model include high flexibility, reduced training data requirements, and the ability to unlock new tasks such as editable gesture generation and emotion prediction from motions.