AI Inference & Serving
Sequence Packing
Placing multiple shorter sequences into a shared fixed-capacity representation to reduce unused padding. The application must define sequence boundaries, positions, attention behavior and any training-label rules. Packing is not permission to let unrelated examples attend to one another, and a training-library packing feature is not automatically an inference-serving feature.
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