Let's say you have a corpus of text — 10 million words — about a specific topic.

1. What's the best way to "train a model" on that text?

2. Is that even the right term? Or is it using an existing foundational model and then augmenting it? Fine-tuning it? Something else?

What should the model do? would this be an instruction-based model (answer questions - similar to ChatGPT)?

Hi! My name is Daniel. I am building bountycaster.xyz

Ex Phantom, 0x Project engineer.

From Italy originally, currently live in NYC

Yeah ability to give you answers based on what is in the corpus but nothing else

I would 
> create an endpoint to a S3 bucket with the text / resources you want to interact with
> create a GPT action that uses the endpoint to access the text
> use chatGPT4o interface to "talk" with documents

OR use  Brev.dev to fine-tune an open source model like Mistral 7B on your text