Fine-tuning allows you to reduce your costs and improve your applications performance - all using the data already inside of Helicone. Read more about it here: OpenAI’s fine-tuning guide

1

Create a dataset

Navigate to the request page and use filters to get your desired dataset

Press Create Dataset and name it

You need at least 10 requests within a dataset to fine-tune.
2

Start a fine-tuning job

Navigate to the fine-tune page and creete a new fine-tuning job.

3

Replace your model name

Once your fine-tuning job is completed, all you have to do is replace the model name and you can start using the new fine-tuned model!

Example Python integration

Key VaultCache