In this video you'll learn how to build an application that fine-tunes GPT with custom data, from scratch, in less than 15 minutes. 🔗 Codebase - https://github.com/dabit3/gpt-fine-tuning-with-nodejs 🔗 Blog Post - https://nader.substack.com/p/supercharge-your-gpt-model-custom 🔗 GPT Repository Loader - https://github.com/mpoon/gpt-repository-loader We'll start by creating a new project and installing the dependencies. We'll then walk through creating each interaction from modeling the data, to uploading it to OpenAI, and testing it out. By the end of the video you should be able to build out your own custom models. 0:00 - Introduction 1:16 - Project setup 6:10 - Creating training data 7:22 - Creating local API interface 8:25 - Uploading training data 9:30 - Creating the fine tune with the training data 10:55 - Fetching and listing the fine tunes 11:40 - Testing it out