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DeepSpec Makes the Target Cache the Boundary

The retained page shows a one commit DeepSpec repo for training speculative decoding draft models, with a data pipeline that downloads prompts, regenerates target answers, and can build a roughly 38 TB target cache. Worth clicking if you review AI research code because the supply chain questions are concrete even without a claimed bug.

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