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foundations
(1)
rl
(1)
2 bookmarks tagged ml
article
·
naklecha on Notion
·
15 min
a reinforcement learning guide
An introductory reinforcement learning guide that builds concepts from first principles using chess and Dota2 as running examples. It covers value functions, the discount factor, and the impracticality of brute-force tree search in games with large branching factors, motivating the need for more sophisticated RL algorithms.
ml
rl
foundations
2026-09-04
article
·
horace.io
·
17 min
Making Deep Learning go Brrrr From First Principles
An in-depth guide to optimizing deep learning performance by reasoning from first principles about hardware bottlenecks. It breaks down GPU utilization into three regimes—compute, memory bandwidth, and overhead—explaining how FLOPS growth has outpaced memory bandwidth, why matmuls dominate workloads, and how understanding these constraints guides whether techniques like operator fusion or kernel rewriting will actually yield speedups. Aimed at ML systems engineers, it uses PyTorch and NVIDIA hardware as concrete examples.
ml
systems
hardware
2026-09-04
