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A model that works across more than one type of data — such as text, images, audio or video — in the same system.
Multimodal models learn a shared representation across data types so they can, for example, answer questions about an image or generate a caption. Radford et al. (2021) showed with CLIP that training on image–text pairs yields a joint embedding space enabling strong zero-shot visual recognition from natural-language prompts.
Today's leading assistants are multimodal: you can paste a chart, a screenshot or a photo and ask about it directly in chat.
Primary, peer-reviewed and archival sources for this definition.
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