<?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/64b14628cc5a4ca598c26f2f4eaaefbb&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/64b14628cc5a4ca598c26f2f4eaaefbb-ef16a6ce648dab08.gif</thumbnail_url><duration>946.22</duration><title>Extracting Questions from Research Papers on Language Model Alignment 🤖</title><description>In this video, I walk through the process of extracting questions from a research paper on the challenges of alignment in large language models. I initially faced some issues with chunking the text correctly, but after debugging, I was able to extract around 225 questions successfully. I emphasize the importance of clear instructions for the language model to avoid hallucinations. Moving forward, I plan to implement tool calling to enhance our system&apos;s capabilities. I encourage viewers to consider how we can further refine our approach when we reconvene after lunch.</description></oembed>