What is Multimodal Model?

AI systems that produce new content such as text, images, audio, video, or code.

A multimodal model architecture that learns shared representations between text and images.

The maximum amount of input tokens a language model can process at once.

A neural architecture optimized for processing grid-like data such as images.

A shift in real-world input data over time that can degrade model performance.

The process of assigning tags or target outputs to raw data for supervised learning.