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
Create a dataset
Navigate to the request page and use filters to get your desired dataset
Create Dataset and name it
Start a fine-tuning job
Navigate to the fine-tune page and creete a new fine-tuning job.
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