Learn how to fine-tune GPT models by submitting your own data for improved steerability, more reliable output formatting, and a more customized experience.
Overview
Syllabus
Introduction
- Fine-tuning custom models with the OpenAI API
- Exercise files and where to find them
- 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
- 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
- Additional notes on fine-tuning
Taught by
Morten Rand-Hendriksen
