<?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 Mi&amp;Bee Blog</title><link>/en/tags/prompt-engineering/</link><description>Recent content in Prompt Engineering on Mi&amp;Bee Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>蓝宝石的傻话</managingEditor><lastBuildDate>Mon, 20 Nov 2023 00:00:00 +0000</lastBuildDate><atom:link href="/en/tags/prompt-engineering/rss.xml" rel="self" type="application/rss+xml"/><item><title>Prompt Engineering: Learning to Talk to AI Is Lesson One</title><link>/en/posts/aihelper/prompt-engineering-basics/</link><pubDate>Mon, 20 Nov 2023 00:00:00 +0000</pubDate><guid>/en/posts/aihelper/prompt-engineering-basics/</guid><description>&lt;h2 id="what-is-prompt-engineering"&gt;What is Prompt Engineering?&lt;/h2&gt;
&lt;p&gt;The core definition of Prompt Engineering is: &lt;strong&gt;Designing natural language inputs to guide Large Language Model outputs toward specific results&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;This concept seems simple, but it hides a profound assumption: &lt;strong&gt;The same model, different prompts → completely different outputs&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Imagine you have an incredibly smart assistant with zero background knowledge. This assistant can perfectly understand and execute any instruction, but it lacks prior knowledge and has no memory. Prompt engineering is the art of learning how to converse with such an assistant.&lt;/p&gt;</description></item></channel></rss>