Multimodal Large Language Models (MLLMs) are machine learning models capable of understanding and generating content across multiple modalities, including text, images, video, audio, and more. By integrating data from different modalities, they enable cross-modal information understanding and generation, and are widely used in areas such as virtual assistants and content creation.