<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>RAG on Margrop Blog</title>
    <link>https://blog.margrop.net/en/tag/rag/</link>
    <description>Recent content in RAG on Margrop Blog</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-US</language>
    <lastBuildDate>Sun, 19 Jul 2026 20:30:00 +0800</lastBuildDate>
    <atom:link href="https://blog.margrop.net/en/tag/rag/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Why Does AI Lie So Confidently? — It Is Not Thinking, It Is Playing Supercharged Word Association</title>
      <link>https://blog.margrop.net/en/post/ai-hallucination-super-chengyu/</link>
      <pubDate>Sun, 19 Jul 2026 20:30:00 +0800</pubDate>
      <guid>https://blog.margrop.net/en/post/ai-hallucination-super-chengyu/</guid>
      <description>&lt;blockquote&gt;&#xA;&lt;p&gt;&lt;strong&gt;The short answer&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;p&gt;AI hallucination is not simply an occasional bug. It is a predictable risk of a system whose basic job is to generate the next likely token from context. The model can produce a fluent, confident, highly structured answer without having verified that every claim is supported by evidence.&lt;/p&gt;&#xA;&lt;p&gt;The easiest analogy is this: &lt;strong&gt;a large language model is a supercharged word-association player. It is exceptionally good at continuing a sentence. It is not automatically a fact-checker.&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;/blockquote&gt;</description>
    </item>
  </channel>
</rss>
