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How to Build a Multi-Dimensional Array by Separating View Logic from Compute Kernels
A deep dive into my multi-dimensional design. I explain the "Control Plane vs. Data Plane" model, which implements "smart" Python to handle all the complex view and stride logic, letting us build a "dumb," simple, and incredibly fast C++ and CUDA backend
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An Engineer's Guide to Deep Learning Optimizers
A deep-dive into deep learning optimizers where we trace the evolution from SGD to Momentum and finally to Adam.
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Why Not Newton? The Real Reason We're Stuck with SGD for Deep Learning
It's not just the petabyte-sized Hessian. The real reason we don't use Newton's.
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