1. Foundations6 lessons
  2. Inside the Model5 lessons
  3. How Learning Works5 lessons

Topic 2 of 3

Inside the Model

A prompt goes in, a token comes out — you follow everything that happens in between, step by step.

5lessons in preparation0 of 5 lessons readable

What this topic covers

This topic follows a single input through a language model. You will see how text gets split and translated into numbers, how context shapes the intermediate state, and how that state becomes a prediction for the next piece of text.

Each lesson remains understandable on its own. Together, they form a technical route map from prompt to output.

Topic 2 of 3

Lessons in this topic

Every lesson stands on its own. In this order, the ideas connect especially clearly.

  1. What an AI Model Actually Is

    In preparation

  2. Tokenization Inside the Model: Sequences, Special Tokens, Context Window

    In preparation

  3. Embeddings: How a Number Becomes a Meaningful Vector

    In preparation

  4. Transformer Blocks and Attention: How Context Gets Mixed In

    In preparation

  5. Output Head: From the Last State to a Prediction

    In preparation