Multimodal — Multimodal Model
Definition: A model that natively handles more than one type of input or output — text, image, audio, video — in a single architecture. The interface for the next generation of AI products.
Example
A multimodal model let a user upload a screenshot of a bug and get a working fix back — no transcription layer in between.
When you'll hear it
Multimodal shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to multimodal model — and they expect the room to already know what that means.
FAQs
What does Multimodal stand for?
Multimodal stands for Multimodal Model.
What does Multimodal mean in AI and machine-learning?
A model that natively handles more than one type of input or output — text, image, audio, video — in a single architecture. The interface for the next generation of AI products.
Where will I hear Multimodal used at work?
Multimodal comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for multimodal model, so people assume you already know the term.