'You Don't Need Long Context' NVIDIA finds that LLM agents can complete complex long-horizon tasks without maintaining their entire conversation history, which reduces inference costs. So instead of
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Long-horizon agents without full history; context and token cost reduction
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NVIDIA finds that LLM agents can complete complex long-horizon tasks without maintaining their entire conversation history, which reduces inference costs.
So instead of
> Long-horizon agents without full history; context and token cost reduction
"You Don't Need Long Context"
NVIDIA finds that LLM agents can complete complex long-horizon tasks without maintaining their entire conversation history, which reduces inference costs.
So instead of accumulating tokens, they use frequent context compaction to summarize progress and retrieve information when needed, even resetting the context after every agent action.
Across six long-horizon benchmarks, this preserves accuracy while achieving up to 8.8x lower estimated inference costs.
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