Mixture of Depths
(MoD) is a architectural technique developed by that optimizes in by dynamically allocating across a sequence. Unlike traditional that apply the same number of and layers to every , MoD employs a to decide which tokens in a batch require full processing through specific and which can bypass them via a . This approach implements a form of , similar to (MoE), but operates across the depth dimension rather than the width. By enforcing a fixed per , can maintain high performance while significantly reducing the latency and requirements during , particularly on hardware optimized for .
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Moving as fast as the field, and easier to overlook
- Explainable AI
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- EU AI Act
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