Tinker Pre-training

by Samy (Kondasamy Jayaraman) · drawn with Colorfigures by April Zhu

Loading step 0

Chapter 2 of 7

Watch it learn

Step 0 babbled. The run went on for 3,000 steps and saved 8 checkpoints along the way.

This chapter: How does the same prompt change as the model trains?

About this chapter

You will learn

  • How each training step nudges the weights
  • What the loss measures, and why it falls
  • How a checkpoint lets you look back at any moment of a run

Words you’ll meet

Training step
One small change to the weights, made after the model reads a batch of text and checks its guesses.
Loss
How surprised the model is by the real next piece, on average. Lower is better; training pushes it down.

Step 1 of 4

The run made 3,000 . Each one nudged the weights so the next guess came out a little better.

Predict first.

At step 3,000, how will it finish “Returns are accepted within”?