三种在代码审查中存活的系统提示错误

📄 中文摘要

在代码审查中,某些错误并不明显,表面上看似无误,经过快速的烟雾测试后也能通过,但在生产环境中,当任务复杂或遇到边缘情况时,这些错误会悄然显现。使用诸如“偏好”、“尝试”、“在可能的情况下”和“理想情况下”的措辞,会将规则转变为建议,模型会将这些建议视为可选项。通过具体示例展示了在压力下如何忽视这些建议,以及如何通过更明确的指令来确保模型的正确执行。

📄 English Summary

Three system prompt mistakes that survive code review

Certain errors in code reviews are not obvious; they may appear correct at first glance and pass a quick smoke test, but they can fail subtly in production when tasks become complex or edge cases arise. Phrases like 'prefer,' 'try to,' 'when possible,' and 'ideally' turn rules into suggestions, which the model treats as optional. The article illustrates how these suggestions can be ignored under pressure and how more explicit instructions can ensure the model performs correctly.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等