Multimodal

Overview

Multimodal AI understands and generates across different types of data: text, images, audio, and video.

What is it?

AI models that process multiple types of input/output (text, image, audio, video).

Why it matters

Real-world problems aren't text-only. Multimodal AI can analyze images, transcribe audio, and generate visual content.

How it works

Different encoders process each modality into a shared representation space. The model learns relationships between modalities during training.

Real-World Examples

Tools & Libraries