Multimodal AI refers to systems and AI assistants that can process and link multiple types of data (such as text, image, and audio) simultaneously. This capability allows AI to perform more comprehensive and context-rich analyses.

By integrating these different modalities, multimodal AI can better handle complex tasks, such as recognizing objects in images and understanding associated text or generating descriptions for visual content. Most AI assistants available on the market today are multimodal and can process both text and image information. For example, a multimodal AI assistant can analyze an image of a dog, identify the breed of the dog, generate a description of the image, and provide additional information about dogs.