Definition
The process of adjusting a model's parameters using data and an optimization objective so that its behavior improves on a target task or distribution.
Distinguish it from nearby terms
Training changes model parameters; inference uses the resulting model without ordinarily updating those parameters.
Check your understanding
Prompting changes inputs at runtime, not the trained weights.