<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>In-Context-Learning on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/in-context-learning/</link><description>Recent content in In-Context-Learning 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>Fri, 15 May 2026 13:20:20 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/in-context-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>In-Context Learning</title><link>http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/01-module/005-in-context-learning/</link><pubDate>Wed, 19 Nov 2025 18:27:45 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/01-module/005-in-context-learning/</guid><description>&lt;p class="lead text-primary"&gt;
This document explores in-context learning as a method where LLMs learn new tasks from demonstrations provided within prompts at inference time, without requiring additional training. The discussion covers prompt engineering fundamentals, including how to design effective prompts with clear instructions and context to guide AI systems toward generating accurate and relevant responses.
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&lt;h2 id="understanding-in-context-learning"&gt;Understanding In-Context Learning&lt;/h2&gt;
&lt;p&gt;In-context learning is a specific method of prompt engineering where demonstrations of the task are provided to the model as a part of the prompt in natural language. This approach enables language models to perform new tasks without requiring traditional training processes.&lt;/p&gt;</description></item></channel></rss>