<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Literacy on The Augmented Scholar</title><link>https://augmentedscholars.com/categories/ai-literacy/</link><description>Recent content in Ai-Literacy on The Augmented Scholar</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 17 Jul 2026 17:59:48 +0400</lastBuildDate><atom:link href="https://augmentedscholars.com/categories/ai-literacy/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agents Explained: LLM + Tools + Memory Loop</title><link>https://augmentedscholars.com/posts/ai-literacy/ai-agents-explained-llm-tools-memory-loop/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/posts/ai-literacy/ai-agents-explained-llm-tools-memory-loop/</guid><description>&lt;h2 id="ai-agents-explained--why-your-llm-isnt-actually-doing-anything-yet"&gt;AI Agents Explained — Why Your LLM Isn&amp;rsquo;t Actually &amp;ldquo;Doing&amp;rdquo; Anything (Yet)&lt;/h2&gt;
&lt;p&gt;You&amp;rsquo;ve probably used ChatGPT to draft an email or Claude to summarize a paper. You ask, it answers. Simple, right? But here&amp;rsquo;s what most people miss: &lt;strong&gt;that&amp;rsquo;s not an agent—that&amp;rsquo;s just a chatbot&lt;/strong&gt;.&lt;/p&gt;</description></item><item><title>Tool Calling Explained: Turn Your LLM into an AI Agent</title><link>https://augmentedscholars.com/posts/ai-literacy/tool-calling-explained-turn-your-llm-into-an-ai-agent/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/posts/ai-literacy/tool-calling-explained-turn-your-llm-into-an-ai-agent/</guid><description>&lt;h2 id="tool-calling-explained--how-to-turn-your-llm-into-an-ai-agent-that-actually-does-things"&gt;Tool Calling Explained — How to Turn Your LLM into an AI Agent That Actually Does Things&lt;/h2&gt;
&lt;p&gt;Out-of-the-box LLMs can&amp;rsquo;t check your calendar, pull live weather data, or query your database. They&amp;rsquo;re brilliant conversationists trapped in a sensory deprivation chamber, completely isolated from the real world. The result? You get impressive prose about &lt;em&gt;what&lt;/em&gt; to do, but zero ability to actually &lt;em&gt;do&lt;/em&gt; it.&lt;/p&gt;</description></item><item><title>What is RAG? Retrieval Augmented Generation Explained</title><link>https://augmentedscholars.com/posts/ai-literacy/what-is-rag-retrieval-augmented-generation-explained/</link><pubDate>Wed, 04 Mar 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/posts/ai-literacy/what-is-rag-retrieval-augmented-generation-explained/</guid><description>&lt;h2 id="rag-explained--how-to-give-your-llm-a-memory-without-retraining"&gt;RAG Explained — How to Give Your LLM a Memory Without Retraining&lt;/h2&gt;
&lt;p&gt;You&amp;rsquo;ve probably noticed that ChatGPT doesn&amp;rsquo;t know about events from last week, or that your company&amp;rsquo;s fine-tuned model can&amp;rsquo;t answer questions about your internal documentation. Most people assume the solution is retraining the model with new data—an expensive, time-consuming process requiring GPU clusters and ML expertise.&lt;/p&gt;</description></item><item><title>How AI Actually Works: A Plain-Language Guide for Researchers Who Don't Code</title><link>https://augmentedscholars.com/posts/ai-literacy/how-ai-works-plain-language/</link><pubDate>Sun, 15 Feb 2026 00:00:00 +0000</pubDate><guid>https://augmentedscholars.com/posts/ai-literacy/how-ai-works-plain-language/</guid><description>&lt;p&gt;&amp;ldquo;AI will replace researchers&amp;rdquo; says one headline. &amp;ldquo;AI is useless and makes things up&amp;rdquo; says another.&lt;/p&gt;
&lt;p&gt;Both are wrong, and the reason most people hold one of these extreme views is that they don&amp;rsquo;t have a working mental model of what AI tools actually are.&lt;/p&gt;</description></item></channel></rss>