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    <title>4. Technical Foundations :: AI Security Essentials: From Concepts to Controls</title>
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    <description>Work in progress&#xD;This section is under construction. This information hasn’t been reviewed or edited yet!&#xA;Introduction Now that we’ve explored how AI evolved into its current form, let’s lift the hood and examine the engine that powers large language models (LLMs). These systems are marvels of engineering, built on a foundation of interconnected components that work together to process and generate human-like text.</description>
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      <title>Activity 1.4: Managing Context and Memory</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>Work in progress&#xD;This section is under construction. This information hasn’t been reviewed or edited yet!&#xA;Practical Activity Overview In this activity, we’ll enhance our chat application to maintain conversation history and implement memory management techniques. This builds directly on our previous chat app.&#xA;Prerequisites Python 3.8 or higher installed on your system Basic familiarity with command line/terminal A text editor or IDE of your choice Activities Step 1: Set Up Your Development Environment 1.1 Make sure you are using the virtual environment we created in the previous activity:</description>
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