how online softmax extends the fused kernel to handle rows that exceed sram capacity, using a numerically stable 2-pass tiling algorithm.

why the key-value cache avoids redundant computation in autoregressive decoding, and the memory/compute tradeoffs it introduces.

how to write a fused softmax kernel in triton that eliminates redundant memory accesses and outperforms pytorch's native implementation.

A practical guide to SSH local and remote port forwarding, with examples, comparison, and persistent configuration via ~/.ssh/config.

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understand batch gradient descent, stochastic gradient descent, and mini-batch gradient descent.

understand how backward propagation works in gradient descent.

learn how to manage you keys with GPG, and use it with ssh and git and pass.

compare shortest path algorithms: dijkstra, floyd, bellman-ford

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