Language Models from the Ground Up
How a language model works, built one part at a time: next-word prediction, tokens, embeddings, a neural model, attention and the transformer, training a small model on a CPU, choosing words, what an open model holds inside, and how instruction tuning changes it.
Edition 2026.10.4 · Examples passed Oct 25, 2026 · 86 of 86 examples pass