Parameter

Friendly Description: A parameter is one of the tiny numbers stored inside an AI model that helps it make decisions. Think of them like the millions of tiny knobs on an enormous mixing board, each turned just right after lots of training. Modern AI models have billions or even trillions of these parameters, which is part of what makes them so capable.

Example: When you hear that a model has "70 billion parameters," it means there are 70 billion tunable numbers inside it, each set during training. More parameters generally means more capacity to learn nuance, but it also means more compute is needed to run and train the model.