Chapter 7: The Training Loop and Adam Optimiser

What You'll Build A complete training loop that processes documents, computes loss, backpropagates gradients, and updates parameters using the Adam optimiser. Depends On All previous chapters. The Training Loop A training step is just five things in a row: Pick a document and tokenize it Forward pass for each token, building up the loss Backward pass to fill in every gradient Nudge the parameters using those gradients Zero the gradients out before the next step Step 4 is where Adam lives. Before