multimodal systems

In artificial intelligence, multimodal systems refer to advanced models or frameworks capable of processing and integrating multiple types of data or input modalities—such as text, images, audio, and video—simultaneously to generate more comprehensive and context-aware outputs.

These systems, exemplified by models like xAI's Grok, leverage techniques such as transformers and cross-modal learning to combine information from diverse sources, enabling applications like real-time translation with visual cues, automated video analysis, or interactive chatbots that respond to both voice and gestures.

This approach enhances AI's understanding and interaction with the world, making it more versatile and human-like compared to single-modal systems focused on one data type.