<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt Engineering on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/prompt-engineering/</link><description>Recent content in Prompt Engineering on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Mon, 09 Mar 2026 11:37:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/prompt-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Prompt Engineering 完全指南：从入门到工程化</title><link>https://socake.github.io/posts/prompt-engineering-guide/</link><pubDate>Mon, 09 Mar 2026 11:37:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/prompt-engineering-guide/</guid><description>Prompt Engineering 不是玄学，而是有规律可循的工程实践。从基础技巧到企业级工程化，本文覆盖提示词设计的完整方法论，包括 A/B 测试、版本管理、失效模式分析，以及在生产系统中管理提示词的最佳实践。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/prompt-engineering-guide/featured.jpg"/></item><item><title>大模型核心概念：工程师需要理解的 LLM 基础</title><link>https://socake.github.io/posts/llm-core-concepts/</link><pubDate>Mon, 17 Nov 2025 11:37:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/llm-core-concepts/</guid><description>同事第一次用 GPT-4 API 写代码时问我：为什么我发了一段中文，token 消耗比英文多那么多？为什么模型有时候会一本正经地胡说八道？这篇文章把我认为工程师必须理解的 LLM 概念系统整理了一遍，不涉及 Transformer 数学，只讲对你写代码有帮助的部分。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/llm-core-concepts/featured.jpg"/></item></channel></rss>