this post was submitted on 04 Oct 2023
10 points (85.7% liked)

Free Open-Source Artificial Intelligence

2886 readers
2 users here now

Welcome to Free Open-Source Artificial Intelligence!

We are a community dedicated to forwarding the availability and access to:

Free Open Source Artificial Intelligence (F.O.S.A.I.)

More AI Communities

LLM Leaderboards

Developer Resources

GitHub Projects

FOSAI Time Capsule

founded 1 year ago
MODERATORS
 

Hey all, I am in the process of testing several models for fine-tuning and that question cropped up.

I would like to add new facts to a foundational model and then train it for instruction tuning. Problem is, I will regularly have new data to add. I was wondering if there is a change that I could do a single LORA for the instruction tuning and reapply it each time I finished a new fine-tuning?

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 2 points 1 year ago (1 children)

Do you consider that there is a way to add facts to a model without rising the probability of hallucinations? Yes, RAG is a necessity, but if we want the model to display some sort of reasoning on a variety of facts, we need them embedded more deeply. The email example I gave can't be done with RAG.

[–] [email protected] 3 points 1 year ago

I think I get what you’re after now. I’ll have to think on this further - interesting problem!