Understanding How AI Language Models Work

Learn what really happens inside a language model so you can use, judge, and explain it with confidence.

This course is for members

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What you will learn about Understanding How AI Language Models Work

The 7-day sprint
  1. Prediction Is the Whole Trick. A language model is a function that takes a stretch of text and outputs a probability for every possible next chunk of text.
  2. Tokens, Not Words. Models read and write in tokens, which are common character chunks rather than whole words, and this shapes what they find easy or hard.
  3. Meaning as Direction in Space. Each token becomes a long list of numbers, an embedding, positioned so that tokens and passages with related meanings sit near each other.
  4. Attention and the Transformer. Attention lets every position in the text pull in information from other positions it judges relevant, and stacking that operation many times is what a transformer is.
  5. From Raw Predictor to Helpful Assistant. Pretraining creates a text predictor; instruction tuning and preference training turn that predictor into something that follows requests and refuses harmful ones.
  6. Context, Memory, and Retrieval. A model's only working memory is the text in its context window, so useful systems put the right information into that window rather than relying on what the model absorbed in training.
  7. Sampling, Limits, and Verification. Decoding settings turn one probability distribution into many possible texts, and knowing the model's structural limits tells you exactly which outputs you must verify.
The 80/20: the 6 concepts that matter most
  • Next-token prediction as the universal engine
  • Tokens are the unit of everything
  • Context is the only memory
  • Retrieval and tools beat recall
  • Attention is what makes long-range meaning possible
  • Alignment training shapes behavior, not knowledge
The core idea, explained like you are 5

A language model is a next-token predictor: it converts the text so far into a probability distribution over what comes next, and all of its apparent intelligence is a consequence of doing that extremely well.

Then the quiz and the ladder

10 questions that correct you when you are wrong, and beginner, intermediate, advanced levels, each with a practical exercise.