this post was submitted on 05 Aug 2023
17 points (100.0% liked)

LocalLLaMA

3272 readers
41 users here now

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

founded 2 years ago
MODERATORS
 

I want to train, or more likely fine-tune, a model on about 20 years worth of email and text data that I've collected.

The goal would be to train it how to respond like me in simple cases.

It's there a particular base model I should start with?

I'm also interested in anyone's experience in doing this kind of thing themselves.

you are viewing a single comment's thread
view the rest of the comments
[–] ScrawnyStork 4 points 2 years ago

I'm inclined to fine tune/make a Lora for Llama (2? I'm not sure how well it's supported yet), you definitely won't want to train from scratch. The big thing seems to be formating the dataset properly, although I haven't actually done any of this myself yet. this blog seems to have a few good articles about it that you might be interested in reading.