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Published
22/100

Zyphra's ZHA makes attention search sparse with a tree structure

AIZyphra says its ZHA method makes the attention search itself sparse, not just the final attention step. Many sparse-attention methods still pay quadratic cost in their lightweight indexers, which ZHA avoids.
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Part of a thread · earlier post

Why a tree?

Many sparse-attention methods reduce final attention cost using lightweight indexers, but these still incur quadratic cost.

ZHA makes the search itself sparse. And unlike fixed-state models, it preserves the full KV cache for precise retrieval.

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Zyphra · x.comPublished · added here

Original title: Why a tree?

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