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To verify whether the fourfold cost reduction holds in one's own business, it is necessary to conduct an A/B comparison on the real traffic distribution rather than testing on standard benchmarks, because benchmark datasets are usually filtered and the proportion of hard problems is not consistent with real scenarios.
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11/6/2026
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UnverifiedIn A/B testing, accuracy differences of less than 2% are usually hard to distinguish, and a larger sample size is needed to reach reliable conclusions.74% similarUnverified对同一测试用例执行多次调用统计成功比例得到通过率，比二元的通过/失败判断更能反映模型真实表现73% similarUnverifiedVendor-reported coding scores are typically measured on carefully curated subsets, and results reproduced by independent organizations on the full test set are often lower.70% similarUnverifiedThe fairness of a benchmark depends on whether a recall target is fixed (e.g. comparing latency at Recall@10=0.95 for all), otherwise simply comparing QPS numbers can easily be misleading.70% similar
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