<?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/13d79c2a602344feb9bcc107e1264096&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/13d79c2a602344feb9bcc107e1264096-f7b056aaefa80b4f.gif</thumbnail_url><duration>284.527</duration><title>Introducing Navagni: Your No-Code AI Model Fine-Tuning Solution 🚀</title><description>In this video, I introduced Navagni, our no-code AI model fine-tuning platform that allows users without a programming background to upload data, train custom models, and deploy them easily. I demonstrated how to create a simple English-to-French translation model using a dataset of around 22,000 sentences. I also explained the model configuration process, including selecting a base model and training parameters, which typically takes about 4-5 hours. I encourage viewers to explore the platform and consider training their own models, as well as to keep an eye out for upcoming features like dataset services. Your feedback and engagement with the platform are greatly appreciated!</description></oembed>