Section 1 — The Model
Training
The process that sets a model's parameters, by exposing it to vast amounts of text and adjusting parameters to improve nexttoken prediction. A onetime, expensive process done by...
The process that sets a model's parameters, by exposing it to vast amounts of text and adjusting parameters to improve next-token prediction. A one-time, expensive process done by the model provider. Encompasses both pre-training (the bulk run) and post-training (later refinements like instruction-following and safety); the distinction doesn't matter at this glossary's level.
Usage:
"Can we get it to know our internal API?"
"Not via training — that's a months-long process by the model provider. Load the API docs into context instead, that's the lever you actually have."