NVIDIA paper: Frequent history compression in agents preserves accuracy even with short contexts.
A new NVIDIA paper finds that AI agents maintain nearly identical accuracy when frequently compressing history to keep context short. Serving a 256K context window costs 3.6 to 7 times more per token than serving a 16K window.
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