GPT Model Assembly
Twelve blocks stacked, a token embedding, a learned position embedding, a final LayerNorm, and a tied language model head. That is the entire 124 million parameter GPT model. This lesson assembles those pieces into a working class, counts the parameters to confirm the model matches the reference 124M shape, and generates text with multinomial sampling, temperature, and top-k.
Visual edition planned
This lesson isn’t interactive yet.
It is part of the curriculum and will get the same treatment as Phase 1 — a visual cover, hands-on labs, derivations with numeric checks and a quiz. Until then, the original lesson is the best place to read it:
Part of Phase 19 — Capstone Projects. Use the previous / next cards below to keep browsing the phase.