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neural networks llms course
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notes
Folder: courses/neural-networks-llms-course/notes
15 items under this folder.
Oct 01, 2026
Week 4 — Gardner's capacity calculation
Sep 19, 2026
Week 1 — Inferring a distribution from observations
Sep 19, 2026
Week 2 — Transfer matrix, correlation length, and what a finite text can show
Sep 19, 2026
Week 3 — The perceptron and the space of interactions
Sep 19, 2026
Week 5 — Hopfield dynamics and the meaning of a capacity
Sep 19, 2026
Week 6 — Dense memory, and attention derived from an energy
Sep 19, 2026
Week 7 — Representations and position
Sep 19, 2026
Week 8 — One head, and a decoder computed by hand
Sep 19, 2026
Week 9 — Four indices: depth, iteration, position, training step
Sep 19, 2026
Week 10 — Gradients, stochastic updates, generation
Sep 19, 2026
Week 11 — Particles on a sphere, and observables of a trained model
Sep 19, 2026
Week 12 — The inverse Potts problem and factored attention
Sep 19, 2026
Week 13 — Scaling, grokking, and the standard of a transition
Sep 19, 2026
Week 14 — Diffusion, the reverse equation, and when thermodynamics applies
Sep 19, 2026
Week 15 — Project seminars, and what the course established