A structured, chaptered walkthrough from tokenization to the full transformerThe neural network architecture behind modern AI models, built on attention — letting every word directly consider every other word in parallel.Full definition →, useful for engineers who want a solid groundingTying a model's answers to checkable sources — retrieved documents, live data, tool results — instead of letting it answer from memory alone.Full definition → in how the models they build on actually work.
Terms in this piece · Glossary
attention — The mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.
transformer — The neural network architecture behind modern AI models, built on attention — letting every word directly consider every other word in parallel.
grounding — Tying a model's answers to checkable sources — retrieved documents, live data, tool results — instead of letting it answer from memory alone.
