<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Guidelines-for-Prompting on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/guidelines-for-prompting/</link><description>Recent content in Guidelines-for-Prompting on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Sat, 15 Nov 2025 17:39:51 +0000</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/guidelines-for-prompting/index.xml" rel="self" type="application/rss+xml"/><item><title>Guidelines for Prompting</title><link>http://ghafoorsblog.com/courses/openai/openai-prompt-eng-developer/01-llms/01-module/003-guidelines/</link><pubDate>Thu, 12 Dec 2024 09:34:43 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/openai/openai-prompt-eng-developer/01-llms/01-module/003-guidelines/</guid><description>&lt;p class="lead text-primary"&gt;
This guide outlines two key principles for writing effective prompts for large language models (LLMs). By following these guidelines, you can craft clear and structured prompts that help the model generate accurate and relevant responses.
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&lt;h2 id="guidelines-for-prompting"&gt;Guidelines for Prompting&lt;/h2&gt;

 &lt;blockquote
 
 class="blockquote border-start ps-3 py-1 border-primary border-4"&gt;
 &lt;p&gt;&lt;strong&gt;Note&lt;/strong&gt;: These notes are based on the videos available on the &lt;a
 href="https://learn.deeplearning.ai/courses/chatgpt-prompt-eng/lesson/3/iterative"
 
 target="_blank" rel="noopener noreferrer"&gt;OpenAI platform&lt;/a&gt;.&lt;/p&gt;

 &lt;/blockquote&gt;
&lt;p&gt;This guide outlines two key principles for writing effective prompts for large language models (LLMs).&lt;/p&gt;</description></item></channel></rss>