<?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/20dc8765f3be420c9eef6aef61c4b906&quot; frameborder=&quot;0&quot; width=&quot;1440&quot; height=&quot;1080&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1080</height><width>1440</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1080</thumbnail_height><thumbnail_width>1440</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/20dc8765f3be420c9eef6aef61c4b906-a3d925c859f1ad57.gif</thumbnail_url><duration>214.3247</duration><title>Exploring Perplexity: The Future of AI Search 🌐</title><description>In this module, I introduced you to Perplexity, a powerful tool that is quickly becoming my go-to for information retrieval, replacing traditional search engines like Google. It provides fast answers with reliable references, and its deep research feature can analyze content for several minutes to deliver comprehensive insights. I highlighted its ability to create spaces for organizing searches and set up tasks for regular updates on competitors or news, which can save you time and effort. I encourage you to explore the free version and consider using Perplexity for your search-related tasks, as it offers a more efficient experience than other platforms like ChatGPT.</description></oembed>