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?

cypherpunk wannabe, engineer working on @frames /open-frames /opencast
https://stephancill.co.za

and here's the link to create a GPT on chatgpt

https://chatgpt.com/gpts/editor

just upload your files in the knowledge section

GPTs on chatgpt should do the job with the least hassle if you are just looking to ask questions about the corpus

GPTs on chatgpt should do the job with the least hassle if you are just looking to ask questions about the corpus

https://warpcast.com/stephancill/0xc2366d42