📄 中文摘要
在使用大型语言模型（LLM）开发新功能时，常常会遇到 AI 生成的内容看似完美，但仔细检查后发现其所引用的 API 端点并不存在，或是历史事实完全虚构，甚至合同中的法律条款与实际内容相悖。这种现象被称为 AI 幻觉，实际上是 AI 在自信地撒谎，给人一种准确无误的假象。解决这一问题需要深入了解 AI 的工作机制，并采取有效措施来提升其生成内容的准确性和可靠性。
你的 AI 是一个自信的说谎者：如何真正修复事实幻觉
📄 English Summary
Your AI is a Confident Liar: How to Actually Fix Factual Hallucinations
When developing new features powered by Large Language Models (LLMs), users often encounter outputs that appear perfect at first glance. However, upon closer inspection, suggested API endpoints may not exist, historical facts could be entirely fabricated, or legal clauses summarized from contracts might contradict the actual text. This phenomenon is referred to as AI hallucination, which essentially means the AI is lying with an unsettling confidence. Addressing this issue requires a deeper understanding of AI mechanisms and implementing effective strategies to enhance the accuracy and reliability of generated content.