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Concept· 2 min

What is multimodal AI?

Multimodal models handle more than text — images, audio, video and even actions — in a single model.

Key idea

All modalities are converted to embeddings so the model can reason across them jointly (see this image, hear this clip, then answer).

Example

GPT-4o can look at a photo of your fridge, listen to your voice question, and reply out loud with a recipe.

What to remember

  • End-to-end multimodal beats bolted-together pipelines
  • Vision, audio and video tokens dramatically expand context needs
  • Enables new UX: voice mode, screen-share, live translation

Further reading