<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning on</title><link>https://raze.mx/tags/machine-learning/</link><description>Recent content in Machine Learning on</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sat, 13 Dec 2025 12:00:00 -0600</lastBuildDate><atom:link href="https://raze.mx/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>The Hour of AI: Code.org's Evolution from Hour of Code</title><link>https://raze.mx/post/hour-of-ai/</link><pubDate>Sat, 13 Dec 2025 12:00:00 -0600</pubDate><guid>https://raze.mx/post/hour-of-ai/</guid><description>&lt;h2 id="from-hour-of-code-to-hour-of-ai"&gt;From Hour of Code to Hour of AI&lt;/h2&gt;
&lt;p&gt;If you&amp;rsquo;ve been following the world of computer science education, you&amp;rsquo;ve likely heard of &lt;a href="https://code.org"&gt;Code.org&amp;rsquo;s Hour of Code&lt;/a&gt;—the global movement that has introduced millions of students to programming through fun, one-hour activities. Well, there&amp;rsquo;s exciting news: &lt;strong&gt;The Hour of Code is now the Hour of AI&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;This evolution reflects the growing importance of AI literacy in our increasingly automated world. Code.org has reimagined their flagship program to help students understand not just how to code, but how to work with and understand artificial intelligence.&lt;/p&gt;</description></item><item><title>Learning Prompt Engineering with GitHub Copilot: From Zero-Shot to Code Whisperer</title><link>https://raze.mx/post/prompt-engineering/</link><pubDate>Sun, 21 Sep 2025 10:00:00 -0500</pubDate><guid>https://raze.mx/post/prompt-engineering/</guid><description>&lt;h2 id="the-art-of-speaking-machine-my-journey-into-prompt-engineering"&gt;The Art of Speaking Machine: My Journey into Prompt Engineering&lt;/h2&gt;
&lt;p&gt;Six months ago, I thought prompt engineering was just a fancy term for &amp;ldquo;writing better Google searches.&amp;rdquo; Boy, was I wrong. After diving deep into GitHub Copilot and experimenting with various AI coding assistants, I&amp;rsquo;ve discovered that prompt engineering is more like learning a new programming language—one where precision, context, and creativity intersect in fascinating ways.&lt;/p&gt;
&lt;p&gt;In this post, I&amp;rsquo;m going to share the techniques and experiments that have transformed my relationship with AI-assisted coding. We&amp;rsquo;ll explore the fundamentals of constructing effective prompts, dive into the powerful 4S technique, and master the spectrum of zero-shot, one-shot, and few-shot learning approaches that can turn you from a hesitant AI user into a confident code whisperer.&lt;/p&gt;</description></item></channel></rss>