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The author details how they built an in-browser poker solver by using LLMs to generate custom WebGPU kernels instead of relying on a general tensor library, achieving over 10x speedup and demonstrating a paradigm shift where cheap generation can replace library abstraction.
PyTorch is an open-source deep learning framework providing GPU-accelerated tensor computation and dynamic neural networks via tape-based autograd. The GitHub README offers installation instructions, component overviews, and links to documentation.