Unverified50% confidenceBenchmarkExact time
In GPT Researcher's experiments, the decision-based approach improved the proportion of effective context by approximately 27 percentage points compared to traditional embedding retrieval.
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50%
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Medium-term (~90 days)
Relevance
9/30/2026
First Seen
Valid until: 12/29/2026
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UnverifiedIn GPT Researcher's experiments, the decision model Jev resulted in 73% of retrieved context being judged as relevant.69% similarUnverified相比默认调度策略，块调度可以将系统整体利用率提升15%-25%69% similarUnverifiedIn GPT Researcher's experiments, traditional embedding retrieval yielded only 46% relevant context.68% similarUnverifiedAfter introducing a gating mechanism based on the measurement metrics, accuracy improved from 20.7% to 36.9%, while the system still answered half of all comparisons.66% similarUnverifiedBy selecting the appropriate model for different tasks, the solution rate improved by more than 23 percentage points, and the per-task cost was reduced to less than one-third of the original.66% similar
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