Unverified50% confidenceFactExact time
Free model endpoints may experience model drift, that is, the model weights or version actually serving may change without the caller's knowledge, and the model field in the response is the only on-the-spot evidence.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
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Unverified模型降质现象可能由服务商在高峰期将请求路由到较小模型版本、动态调整采样参数或隐性截断上下文窗口等原因导致76% similarUnverifiedRebasing causes the numerical scores output by the model on the same input to drift, so it is necessary to track the correspondence between model version numbers and thresholds.73% similarUnverifiedDuring inference, model weights are frozen, and the model is merely managing context rather than converting present experience into persistent model knowledge.72% similar
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