Training
Definition
The process of adjusting a model's parameters so its outputs match a dataset better.
Repeatedly: run an input through, measure how wrong the output was, and nudge every parameter in the direction that would have made it less wrong. Everything interesting about a model — including its failures — comes from what was in the data this ran over.