Unverified50% confidenceFactExact time
Both closed-source models and coding models are subject to training data cutoff dates, and without consulting documentation, they may generate outdated or hallucinated code.
1
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50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
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VerifiedThe training data of large language models has a temporal cutoff point, which may result in a lack of awareness regarding bugs in the latest framework versions and compatibility issues with specific version combinations.77% similarUnverified时间序列预测不能简单随机划分训练集和测试集，必须按时间顺序切分以避免数据泄露77% similarUnverifiedOut-of-sample design can substantially eliminate the interference of memorization retrieval on evaluation by using contemporary works created after the model's training cutoff date or from controlled sources.77% similarUnverifiedThe problem that point-in-time joins solve is data leakage: when constructing training samples, each record may only use feature values that were available at or before its corresponding timestamp76% similarUnverifiedThe closer an event is to the cutoff date, the smaller its share in the training corpus, and the less clearly the model has mastered it.73% similar
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