<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/c8842d6806b5436a856b8c171ecc3605&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c8842d6806b5436a856b8c171ecc3605-c82ff364fcfbbddc.gif</thumbnail_url><duration>175.4</duration><title>Mastering Prompt Engineering for AI 🤖</title><description>In this video, I discuss prompt engineering for generative AI. I explain that a prompt is a description that guides the AI in generating the content you need. I highlight four key aspects: role, context, task, and format. For example, if I were an empathetic financial advisor, I would ask for a warm 150-word email to assist students with financial aid. I encourage you to consider these elements when crafting your prompts.</description></oembed>