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AI & Machine Learning · Foundational

Multimodal Model

A model that can process or generate more than one data type, such as text, images, audio and video.

Definition

Multimodal LLMs accept images, documents or audio alongside text and reason over them jointly, for example reading charts or answering questions about photos. Others generate images, speech or video. Examples include Claude, Gemini, GPT-4o-class models and NVIDIA Cosmos for physical AI.

Example

Uploading a photo of a whiteboard and asking the model to convert it into meeting notes.

Exam tip

Choose a multimodal model when inputs mix text with images, documents, audio or video.

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