📄 中文摘要
提示校准是对提示的结构、深度和意图进行精炼的过程，以便从大型语言模型中产生更可靠和有用的响应。由于许多人在与强大的语言模型互动时发现AI的回答可能不一致、令人困惑或不可预测，因此提示校准显得尤为重要。相同的提示可能会产生不同的答案，而稍微改变措辞可能会导致完全不同的结果。通过提示校准，可以提高提示的清晰度，减少输出的可变性，从而生成更一致的AI响应。
什么是提示校准？
出处: What Is Prompt Calibration?
发布: 2026年3月19日
📄 English Summary
What Is Prompt Calibration?
Prompt Calibration is the process of refining the structure, depth, and intent of prompts to elicit more reliable and useful responses from large language models. Many users of powerful language models encounter inconsistencies, confusion, or unpredictability in AI responses. The same prompt can yield different answers, and slight changes in wording can lead to entirely different results. Prompt Calibration addresses these issues by improving prompt clarity, reducing output variability, and producing more consistent AI responses.