OpenAI API: Fine-Tuning

This is the repository for the LinkedIn Learning course OpenAI API: Fine-Tuning. The full course is available from LinkedIn Learning.

Fine-tuning GPT models allows you to submit examples of the types of responses the AI system should provide based on user input. This is a great way of ensuring the system speaks in a voice and tone of your choosing, and eliminates the need for providing a description of the agent before each prompt.

OpenAI’s API enables you to submit your own fine-tuning training data. In this course, Senior Staff Instructor and AI whisperer Morten Rand-Hendriksen shows you how to fine-tune OpenAI’s GPT models by uploading your own data to create a unique custom model.

This course takes you through the process of preparing your data, submitting the data for fine-tuning through the OpenAI API, and using the fine-tuned model for regular interactions with the AI API.

Fine-tuning GPT provides better performance, enables you to shorten your prompts, and keeps the AI system on track and on target with your business content and context.

See the readme file in the main branch for updated instructions and information.

Instructions

This repository holds example data and two Jupyter Notebooks:

• create-training-data/create-training-data.ipynb demonstrates how to prepare data for fine-tuning
• fine-tune-flow.ipynb demonstrates how to perform fine-tuning through the OpenAI API.

The first time you run a block in a Jupyter Notebook, the environment will ask you to pick an environment. Follow the instructions and pick the first available Python environment.

NOTE: The first code block will take a while to load because the environment has to load first.

Installing

It is recommended you run these exercise files in GitHub Codespaces. This gives you a pre-configured Python environment for the Jupyter Notebooks to run. To use the exercise files, follow these steps:

1. In the root folder, rename the file env-template to .env.
2. Go to https://platform.openai.com/api-keys.
3. Generate a new key and copy the key to your clipboard.
4. In .env add the key without quotes or parentheses.

Instructor

Morten Rand-Hendriksen

Senior Staff Instructor, Speaker, Web Designer, and Software Developer

Check out my other courses on LinkedIn Learning.