<?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/cbb12b902a42488bb87fb49983baab45&quot; frameborder=&quot;0&quot; width=&quot;1730&quot; height=&quot;1297&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1297</height><width>1730</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1297</thumbnail_height><thumbnail_width>1730</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/cbb12b902a42488bb87fb49983baab45-a0e43eb5cdc3288a.gif</thumbnail_url><duration>192.901</duration><title>Parsing Resumes with Refuel [3-min]</title><description>Refuel is an AI-platform for data cleaning, normalization, categorization and structured data extraction.

In this demo, we show how you can use Refuel to parse resumes at 95% accuracy. All you have to do is to bring some sample data, write simple instructions for the fields you&apos;re looking to extract, provide feedback on a handful of examples and deploy to production and start parsing as many resumes as you want. 

Refuel makes it easy for teams to create the data they need by customizing and teaching LLMs for their specific data tasks.</description></oembed>