<?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/e083074597fa4722bde3fe045381d0e1&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e083074597fa4722bde3fe045381d0e1-700b5e4832978e77.gif</thumbnail_url><duration>419.509</duration><title>Evaluating Gemini API Performance 🚀</title><description>Hi, in this video, I showcase an evaluation example using the Gemini API to understand how temperature impacts the number of generated tokens and response time. I demonstrate building request bodies, processing responses, and visualizing data in Postman. No action requested, just insights on API performance.</description></oembed>