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