Modern AI systems rarely work with just one type of data. Real-world applications often need to combine text, images, audio, and video to understand user intent and produce richer responses. This is where multimodal AI comes in.

By integrating multiple modalities, applications can analyze documents with images and text, answer questions about screenshots, generate captions for videos, or respond to voice commands with visual outputs.

In this chapter, you will learn how to design and build multimodal applications by combining different AI models and orchestrating them into a cohesive system.