<?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/0aafa79f074448a69aca6f4e258e42de&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/0aafa79f074448a69aca6f4e258e42de-aabad0fc8f039062.gif</thumbnail_url><duration>84.548</duration><title>Understanding Recent Changes in E-commerce Data Processing</title><description>I discuss a sudden issue with my GPT prompt generating different outputs for e-commerce data, despite no prompt changes. After successfully processing 24,000 companies, adding 4,000 more led to unexpected results. I plan to merge columns to address this issue and seek insights on the unexpected behavior.</description></oembed>