Anatomy

Diagrams of boxes and arrows describe an idea. These build it. Each piece is the real thing, running: a transformer you can type into, laid out in 3D from its own numbers; a web stack you can overload. The 3D dissections walk through a landmark paper or system component by component, trace every figure to its source, and end with experiments of their own.

5 models 3 AI & ML2 Architecture 590 parts and components 99 links into the libraries

All5 AI & ML3 Architecture2

Any Language models 2 Neural network foundations 1 Performance & capacity 1 Web & API systems 1

Any Working model 3 Simulation 2

1 model for “chain rule”.

Working model · 3D AI & ML · Neural network foundations

Anatomy of Backpropagation

Rumelhart, Hinton and Williams (1986), dissected: the family-trees network of their Fig. 3 at full size, its forward pass and every derivative of its backward pass drawn as real blocks, checked against PyTorch, with a research desk that re-runs the letter's single-run claims across seeds.

The 1986 Nature letter that made backpropagation famous, built in 3D at the paper's own size: the family-trees network answers your query while the camera walks the forward pass, every gradient of th…

50 components · Intermediate 15 Oct 2026