> For the complete documentation index, see [llms.txt](https://benjamin-dals-hughes.gitbook.io/benjamin-blog/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://benjamin-dals-hughes.gitbook.io/benjamin-blog/gpt-3-fine-tune.md).

# Finetune GTPT-3

1. First we must upload a file to open ai
2. Then we must reference that file in the fine tuning api

## Upload a file containing the finetuning

Check <https://beta.openai.com/docs/api-reference/files/upload?lang=curl>

```bash
curl -k https://api.openai.com/v1/files -H "Authorization: Bearer API_KEY" -F purpose="fine-tune" -F file='@FINE-TUNE-FILE.jsonl'
```

This call will return the file id.

*Remember the special format of the finetuning file: <https://beta.openai.com/docs/guides/fine-tuning/prepare-training-data>*

## Finetune a model

```bash
curl -k https://api.openai.com/v1/fine-tunes -X POST -H "Content-Type: application/json" -H "Authorization: Bearer API_KEY" -d '{"training_file": "FILE_ID", "model": "MODEL_NAME"}'
```

`MODEL_NAME` could be `davinci` or `curie`