Why it matters

RetNet unifies training/inference forms. Understanding shapes design.

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The architecture

Retention: attention-like with exponential decay.

Three equivalent forms.

RetNet three formsParallel formtrainingRecurrent forminferenceChunkwiselong contextSame computation; different implementations for train/infer/long
RetNet.
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How it works end to end

Parallel: matrix ops for training.

Recurrent: constant memory inference.

Chunkwise: sublinear memory for long sequences.