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intermediateTheoryTransformers

LLMs & Transformers

See inside the model — without the math wall.

Tokens, embeddings, attention, sampling. Build a working mental model of how a transformer turns text into text — visually, then in code.

Start pathCertify on CertQuests

9h

Duration

10

Lessons

6.2k

Learners

Path map

Lessons unlock as you complete the previous one. Your progress is saved on this device.

  1. Lesson 1

    Tokens — what models actually see

    9m35 XP

  2. Lesson 2

    Embeddings — words as coordinates

    10m35 XP

  3. Lesson 3

    Attention — the trick that made LLMs work

    12m45 XP

  4. Lesson 4

    Inside a transformer block

    10m40 XP

  5. Lesson 5

    Positional encoding — why order matters

    8m30 XP

  6. Lesson 6

    Sampling — how the next token gets picked

    10m40 XP

  7. Lesson 7

    Reading a model card

    10m40 XP

  8. Lesson 8

    Context windows, KV cache & long context

    11m45 XP

  9. Lesson 9

    Reasoning models & test-time compute

    10m40 XP

  10. Lesson 10

    Capstone: pick the right model for the job

    12m60 XP