Multimodal AI refers to machine learning models capable of processing and integrating information from multiple modalities or types of data. These modalities can include text, images, audio, video and other forms of sensory input. Unlike traditional AI models that are typically designed to handle a single type of data, multimodal AI combines and analyzes different forms of data inputs to achieve a more comprehensive understanding and generate more robust outputs.