So, just help me understand that.

Yeah, so there are two stages to that.

The eval was the last, the third stage.

I think in the first two stages, they were still training.

And the training, essentially, I mean, when you train a large language model, you train it to predict the next token.

It's autoregressive.

A sentence, you say, a quick brown fox jumped over a lazy dash.

How did that happen?