<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Apurva Shrey</title><link>https://apurvashrey.com/tags/ai/</link><description>Recent content in Ai on Apurva Shrey</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 17 Jul 2026 00:00:00 -0400</lastBuildDate><atom:link href="https://apurvashrey.com/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>From Prompts to Context</title><link>https://apurvashrey.com/blog/from-prompts-to-context/</link><pubDate>Fri, 17 Jul 2026 00:00:00 -0400</pubDate><guid>https://apurvashrey.com/blog/from-prompts-to-context/</guid><description>&lt;p&gt;When Generative AI such as ChatGPT was launched it was a conversational style chatbot but now has evolved into an AI assistant carrying out multitude of functions. Prompt engineering was one of the first practical skills to emerge around generative AI. Once people began using tools such as ChatGPT, they quickly noticed that the wording of a request mattered. A carefully worded prompt could tell a model what to do, yet it could not give the model access to a firm&amp;rsquo;s internal documents, recall every relevant part of an earlier conversation, or retrieve information that had changed since the model was trained.&lt;/p&gt;</description></item></channel></rss>