How Shopify built a continual learning loop with PyTorch and vLLM

What happened

TL;DR: This case study explores how Shopify compresses production failures into model weights every day, beats frontier-model quality, and cuts serving costs 96% by building a continual learning loop with PyTorch and vLLM. Frontier models are often the fastest way to launch a new AI product. A small team can get something useful in front of users quickly and learn from real-world usage. But as usage grows, the econo…

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