Free course · AI & Data
Fine-Tuning Basics
When to train a model, and when you simply do not need to.
5lessons
10quiz questions
5exercises
What you'll be able to do
- Rule it out before spending anything.
- Understand the mechanism well enough to predict the result.
- Do the part that determines the outcome.
- Run it and find out whether it worked.
- Maintain it after it is deployed.
Course content
- 1 When you do not need this Rule it out before spending anything.
- 2 What fine tuning actually does Understand the mechanism well enough to predict the result. Sign in to open
- 3 Preparing the data Do the part that determines the outcome. Sign in to open
- 4 Training and evaluating Run it and find out whether it worked. Sign in to open
- 5 Living with a fine tuned model Maintain it after it is deployed. Sign in to open