Home › Glossary › Multimodal
Capabilities · beginner

What is Multimodal?

A plain-English explanation of Multimodal (Multimodal AI) — what it means, why it matters, and how it is used in AI.

Multimodal
Multimodal AI
A multimodal AI model is one that can process and generate multiple types of data — such as text, images, audio, and video — rather than being limited to a single modality.
"GPT-4V is a multimodal model that can look at a photograph of a whiteboard covered in equations and explain what the equations mean in plain English."

Also known as: Multimodal AI, multimodal model, vision-language model

Computer VisionNLP

Why does Multimodal matter?

Multimodal AI is used in document analysis, medical imaging, video understanding, and accessibility tools.

Practice this term

The best way to remember Multimodal is to practice unscrambling it. AI Terminology Scrambler uses spaced repetition to help you learn and retain AI vocabulary in just a few minutes a day.

Practice Multimodal now →

Related AI terms

Computer VisionNLP