I'm new to AI and machine learning.

To fine-tune GPT-3, I understand that we need a set of training examples that each consist of a single input ("prompt") and its associated output ("completion").

I have prepared a dataset with "prompt" and "completion". And I expect that a fine-tuned model would return the corresponding completion after receiving a prompt in my dataset. But due to some reason, I cannot fine-tune GPT-3 at the moment.

So I plan to fine-tune GPT-Neo (or GPT-J or GPT-NeoX). From this video and this video, it seems that they only accept a dataset containing only "prompt".

Does anyone know how I could modify my dataset with "prompt" and "completion" such that it could be used to fine-tune GPT-Neo?