What is meant by "multi-modal AI"?

Multi-modal AI refers to systems that are capable of processing and generating data across various formats simultaneously, such as text, images, audio, and video. This capability enables a comprehensive understanding of data by integrating information from different modalities, enhancing the AI's performance in tasks that require context from multiple sources. For instance, a multi-modal AI could analyze a video clip, describe the content in natural language, and respond to questions about both the spoken dialogue and visual elements observed in the video.

This contrasts with systems that handle only one type of data, which are limited in their application scope and versatility. The ability to operate across diverse data forms allows multi-modal AI to deliver richer, more nuanced outputs and insights, making it a significant advancement in AI technology.