<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Temperature on AI 学习笔记</title><link>https://jason-azure.github.io/ai-blog/tags/temperature/</link><description>Recent content in Temperature on AI 学习笔记</description><generator>Hugo -- 0.146.0</generator><language>zh-CN</language><lastBuildDate>Fri, 13 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jason-azure.github.io/ai-blog/tags/temperature/index.xml" rel="self" type="application/rss+xml"/><item><title>LLM 中的概率论：从掷骰子到生成文本</title><link>https://jason-azure.github.io/ai-blog/posts/llm-probability/</link><pubDate>Fri, 13 Mar 2026 00:00:00 +0000</pubDate><guid>https://jason-azure.github.io/ai-blog/posts/llm-probability/</guid><description>零基础理解大语言模型背后的概率论：条件概率、Softmax、交叉熵、Temperature、采样策略、大数定律与中心极限定理——用最直观的类比和动图，拆解 LLM 的数学骨架。</description></item></channel></rss>