AI & models
Training data
The huge pile of examples a model learns from — for an
LLM, an enormous amount of text. The model never "looks things up" in it later; it absorbed the patterns once, during training, and that's frozen in place. Why it matters
Part of How AI actually works → It's why a model has a knowledge cutoff and can be confidently out of date — see hallucination. It only knows what it was trained on.
see also