Welcome to our Fine Tuning Workshop! This repository designed to kickstart your journey into fine-tuning with OpenAI's technologies during this hackathon. Here, you’ll find three hands-on exercises that will help you master the art of fine-tuning models to achieve greater accuracy and performance in various tasks.
- Fork this repository to begin your fine-tuning adventure.
- Each exercise includes:
- A starter Jupyter Notebook to guide you through the fine-tuning process.
- A dataset tailored to the specific task.
- As you work through each notebook, you’ll apply fine-tuning techniques and explore the impact they have on model performance.
If you’re looking for guidance or a peek at the solutions, head over to the solution branch where you’ll find fully worked examples and code. Use it as a reference, but don’t forget to try solving the exercises yourself first!
- Exercise 1: Distillation - Wine Labelling
- Exercise 2: Fine Tuning for function calling - Program your drone!
- Exercise 3: Fine Tuning for images - Better medical diagnosis
Each exercise is designed to build on the previous one, so make sure to complete them in order for the best learning experience!
We hope this repo serves as a useful starting point for your hackathon success. Experiment, learn, and most importantly, have fun!
Happy Hacking!