<?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/65dcd518048d43f7b3e81546cf63db8f&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/65dcd518048d43f7b3e81546cf63db8f-1336eeedd4d96d49.gif</thumbnail_url><duration>130.871</duration><title>Improving Complaint Classification with LLM 🚀</title><description>In this video, I demonstrate how we are enhancing complaint classification using LLM. We aim to reduce user input dependency by classifying complaint types and subtypes solely based on user comments. No user selection screens are needed, and even non-English comments, like Hindi, are accurately categorized.</description></oembed>