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
Filtering requests on the request page to create a dataset in Helicone.
Press Create Dataset and name it
Creating and name your dataset in Helicone.
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.
Starting a fine-tuning job in Helicone.
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!
Python integration example showing how to replace the model name after fine-tuning in Helicone.

Example Python integration