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A technical newsletter on machine learning systems, covering GPU performance, PyTorch internals and kernel-level behavior, written by a PyTorch engineer. It also includes personal career reflections and posts on new APIs such as FlexAttention.
A personal learning log in which the author rebuilds their machine learning foundations, explaining PyTorch concepts and ML jargon in plain language. Posts include TL;DR sections, code notebooks and glossary entries that answer beginner-style questions.
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