I'm trying to fine-tune a GPT-J model from GPT4All.
Here is what I need: 1) a specialized llm that could answer specific prompts
Here is what I don't have: 1) A GPU 2) A training dataset
I understand that to fine-tune a model, I will need to generate this specific dataset. I have ideas about how generate it but I don't know in what form it should be such as column names, file extensions, etv. I know that I might need to rent GPUs from vast.ai but I don't know where this dataset should be stored and so that I could train the model remotely.
Is there a beginner's guide to crack this down? I'll be very grateful for an answer.