All terms
Foundations
Weights
The adjustable values on a network's connections that together encode what it knows.
Definition
Weights are the adjustable values attached to the connections in a neural network. They are tuned during training and together encode what the model knows, turning inputs into useful outputs. Open-weight models are those whose trained weights are released so others can run or adapt them, in contrast to models kept behind an API.