{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c7f42c41d4db440f9959351fa9ab7e6d\" frameborder=\"0\" width=\"1440\" height=\"1080\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1080,"width":1440,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1080,"thumbnail_width":1440,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c7f42c41d4db440f9959351fa9ab7e6d-00001.gif","duration":313.24,"title":"Fine Tuning a Model for Customer Support Bot [🎥]","description":"Hey 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!"}