Course orientation
The Road to the Next Token
Follow one real generation through tokens, probability, training, RNNs, attention, and Transformers.
8 parts
41 lessons; 29 published
Not slideware
Narrative, interaction, sources, and next questions each have a job
Mechanism to code
The path returns to real models, formulas, and source code
How you move through this course
The sidebar mirrors the complete P0–P7 tree exposed by the course manifest. The narrative, companion playground, dissection, and code workbench remain in the course's own runtime; the platform supplies discovery, return paths, and cross-course connections.
This is a highly interactive course that evolves and deploys independently. DeeptoAI uses a public course manifest and Platform Rail to recognize whether you are reading, dissecting, or inspecting code. Version one shares navigation context only; opening a page never masquerades as mastery.
The course-runtime contract
- The course tree gives position; narrative supplies the teacher's explanation; interaction only tests causality that text cannot replace.
- A lesson is not a card: it states a question, example, mechanism, boundary, exit task, and next question.
- The platform standardizes URLs, return paths, indexing, state, and safety contracts—not whether a course uses MDX, split panes, canvases, or an independent app.