In AI, multimodal models are systems capable of processing and understanding multiple types of data inputs, or “modes,” such as text, images, audio, or video. These models can analyze and integrate information from different formats simultaneously, enabling more complex and versatile tasks.
For example, a multimodal AI model can:
- Analyze an image and generate a descriptive caption (image + text)
- Watch a video and respond to questions about it (video + text)
- Process both text and images in a document to summarize the content
By combining multiple data types, multimodal models can deliver richer, more contextualized insights than single-modality models, which only process one type of data.