OpenAI API: Fine-Tuning

Learn how to fine-tune GPT models by submitting your own data for improved steerability, more reliable output formatting, and a more customized experience.

Introduction

• Fine-tuning custom models with the OpenAI API
• Exercise files and where to find them

1. Fine-Tuning Basics

• When to create a fine-tuned model
• Creating and formatting training data
• Testing the training data
• Creating a fine-tuning job in the playground
• Using a fine-tuned model in the playground
• Testing epoch-based checkpoints

2. Advanced Tools and Features

• Fine-tuning through the API
• Uploading training data to the API
• Creating a fine-tuning job through the API
• Retrieving a fine-tuning job and checking the status
• Getting the model name once the job is completed
• Using the fine-tuned model through the API
• Cancelling a fine-tuning job

3. Further Info

• Additional notes on fine-tuning