Definition
A configuration value chosen outside ordinary parameter learning, such as learning rate, batch size, or model depth.
Distinguish it from nearby terms
Parameters are learned from data; hyperparameters shape the training or inference process.
Check your understanding
Some runtime settings, such as temperature, are often called inference parameters rather than learned model parameters.