PyTorch just dropped a deep dive on optimizing inference for recommendation systems—the backbone of basically every feed algorithm you interact with daily. This is the kind of under-the-hood engineering work that makes the difference between a rec system that's "good enough" and one that actually scales efficiently at production level.
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