Unverified50% confidenceFactExact time
The production-stage evaluation shifts to sampled evaluation of online traffic, combined with user feedback signals, to continuously capture quality changes caused by model or data drift, rather than being a one-time gate.
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50%
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Long-term
Relevance
10/16/2026
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Related Claims
UnverifiedEvaluation can be divided into online evaluation (real-time monitoring in a production environment) and offline evaluation (batch testing on a fixed test set), with the latter being the foundation for rapid iteration.80% similarUnverifiedOnline evaluation reflects user experience under the real distribution, and corresponds to offline evaluation run on test sets.75% similarUnverified可观测性（Observability）方案从真实用户反馈和长期调用过程中采集数据，为模型迭代优化提供量化依据75% similarUnverifiedA mature evaluation pipeline continuously monitors features such as the intent distribution, length distribution, and tool-call frequency of online traffic, and sets alert thresholds, triggering evaluation set updates or resampling when drift exceeds an acceptable range.74% similarUnverifiedEnterprises should establish a regular model evaluation pipeline that uses their own business scenario test sets to evaluate each new checkpoint release, making version upgrade decisions driven by data.74% similar
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