Unverified50% confidenceFactExact time
ZHA uses 4B tokens of distillation to teach the frozen base model to use sparse attention patterns.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
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Related Claims
UnverifiedA 1M token context window is different from a persistent memory mechanism; the context window is the total number of tokens the model can access in a single inference, and the content becomes invalid after the session ends or the window overflows, making it volatile state.61% similarUnverifiedPrompt caching relies on the KV Cache (key-value cache) mechanism in its technical implementation.59% similarUnverifiedProvider-side Prompt Caching is essentially an optimization at the KV Cache level of model inference, reusing already-computed attention key-value pairs to reduce redundant computation.59% similarUnverifiedPutting Explore on Haiku 5.5 can reduce the main model's token consumption and speed up responses for exploration-type tasks.59% similarUnverifiedThe context window refers to the upper limit of tokens a model can hold in a single inference, and it is the fundamental reason why agents' contexts are isolated in multi-agent systems and memory must be shared explicitly.58% similar
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