<?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/9fe66909579844cebdb74f52bbfc23c4&quot; frameborder=&quot;0&quot; width=&quot;1664&quot; height=&quot;1248&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1248</height><width>1664</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1248</thumbnail_height><thumbnail_width>1664</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/9fe66909579844cebdb74f52bbfc23c4-ad955a50e2d69ea8.gif</thumbnail_url><duration>3975.395</duration><title>Using Large Language Models for Prompting Strategies</title><description>Today&apos;s video delves into utilizing large language models for prompting strategies, exploring various prompt patterns like the flipped interaction pattern. I discuss the importance of image descriptions and different tools such as Canva. Additionally, I touch on research trends and the significance of accurate details in communication. No specific action is requested from viewers.</description></oembed>