I am developing an application where users can input data and then ask questions about that data using Gemini. Given that the dataset can be extensive, I need to train Gemini to handle and analyze the data effectively.
Welcome to the forum!
It isn’t clear exactly what your question is, or if you’ve tried something that hasn’t worked.
You can certainly create a prompt that incorporates user data as well as the question they have about that data. This works especially well in the long-context models with Gemini 1.5.
You can also do things such as have them upload their content and do other RAG-like operations on it if that makes sense.
While it is certainly possible to do fine tuning on some Gemini models, that seems like more than what is necessary. But is that what you’re asking?
In short - there are a lot of possible approaches. We’re happy to discuss which ones may be best in your case.