Section 1 | What Does the Model Actually See?

Section 2 | What is a Token?

Section 3 | Training Data & Pre-Training

Section 4 | Neural Networks

Section 5 | The Transformer Architecture

Section 6 | From Training to Talking: Inference

Key Takeaways