How can I fine tune Gemini with unlabeled data?

Gemini API
1

I want to train Gemini with some unlabeled data to learn context. When I ask about the context, it should answer like an assistant. How should my data structure be? Or do you have any suggestions about that?

2

I understand that you mentioned RAG when discussing context. If that’s the case, fine-tuning might not be what you’re looking for. However, in a later message, you mentioned that it should respond like an assistant, so I’m not completely sure about your goal. Could you please elaborate?

3

Thanks for your interest. I have researched RAG and I think it is what I am looking for, but I didn’t fully understand it. How is a dataset connected to AI? Should datasets be given as prompts, or is there a different feature that does the job?

4

Good question, here is a RAG resource that I think you might find beneficial to understand RAG: Understanding Retrieval-Augmented Generation: A Simple Guide | by Amod's Notes | Medium

No.

5

Thanks again. I am sure the resource you gave will be helpful.