Working model · 3D
AI & ML · Training & alignment
Anatomy of Adam
Kingma and Ba's optimiser, dissected: every line of Algorithm 1 drawn as real blocks on a 151-parameter network, checked against PyTorch, with a research desk that reruns Reddi et al.'s counterexample, finds how rare a large gradient must be to defeat it, and tests the paper's claims about bias correction, the size of the step and ε.Adam in 3D: its gradient, two moving averages, bias corrections and step drawn as real blocks for any step of a live training run, tested against PyTorch, then a pre-registered research desk on the c…
61 components · Intermediate
18 Oct 2026