品玩7月20日讯，据 Arxiv 页面显示，来自斯坦福大学和伯克利大学的一个研究团队表示，时间将会对大模型的工作质量造成影响。
该研究团队通过对 GPT3.5和 GPT-4两款模型在不同时间的任务表现进行研究得出此结果。该团队提出了四项工作来对这两款模型进行评测，包括解决数学问题、回答敏感问题、生成代码和视觉推理。研究发现，无论是GPT-3.5还是GPT-4的性能和行为在不同时间段会有很大变化。举例说明，GPT-4在2023年3月时在寻找质数方面表现非常好，其准确率达到97.6%，但到了2023年6月，GPT-4在同样的问题上的准确率仅为2.4%。而 GPT-3.5 在同样的问题上的表现则随着时间在进步。
论文表示，同一个大语言模型的行为在相对短的时间内可能发生显著变化，这说明了对大语言模型质量持续监测的必要性。
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