multimodal

Multimodal describes AI that processes more than one type of data, such as text, images, and audio.

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Multimodal describes an AI model that accepts or generates two or more types of data, such as text, images, and audio. It contrasts with a unimodal model that handles only one type, such as text.

The term became widespread around 2023, when major large language models such as GPT-4 and Gemini began accepting image input. Computer-use models, which read the screen and operate a computer through mouse and keyboard actions, likewise process screenshots together with text instructions.

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Articles covering this entry

Passing only plain text between the two models risks losing spatial detail, so the goal is a rich, multimodal interface between them.

Handle multimodal responses by checking rather than hard-coding nested paths.


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