video1.0<iframe src="https://www.loom.com/embed/c7f42c41d4db440f9959351fa9ab7e6d" frameborder="0" width="1440" height="1080" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10801440Loomhttps://www.loom.com10801440https://cdn.loom.com/sessions/thumbnails/c7f42c41d4db440f9959351fa9ab7e6d-00001.gif313.24Hey guys! In this video, I'll show you how to fine tune a model for a customer support bot using my buddy Oliver's brand, Tabs Chocolate, as an example. I'll walk you through the process of creating a dataset from the frequently asked questions page, organizing the data in a Google sheet, and generating new variations of the questions using GPT in OpenAI's playground. Then, I'll show you how to use the dataset to build a model in findtuner.com. No coding required! Finally, I'll demonstrate how the fine-tuned model can provide accurate answers to customer queries. Let's get started!