this post was submitted on 22 Feb 2025
15 points (100.0% liked)

Free Open-Source Artificial Intelligence

3977 readers
1 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 2 years ago
MODERATORS
Blaed@lemmy.world
fosai@lemmy.world
15
Models specialized on only one programming language (piefed.social)
submitted 7 months ago by Oskar@piefed.social to c/fosai@lemmy.world
5 comments fedilink hide all child comments
 

There are lots of general-purpose models to use locally, and also coding-specific models.

But are there models specialized in one programming language? My thought was that a model that only needs to handle one language (e.g. Python) could be faster, or be better for a given size.

E.g If I need to code in Rust and is limited to an 8B model to run locally, I was hoping to get better results with a model that is narrower. I don't need it to be able to help with Java.

This approach would of course require switching models, but that's no problem for me.

you are viewing a single comment's thread
view the rest of the comments
[–] Yomope@lemmy.ml 3 points 7 months ago (2 children)

I’m pretty sure this would not produce better output. Ai has a « thought » of his own.limiting is approach to be pure python won’t offer you the link it can see with a Java approach. With a more diverse knowledge, it can generate a more unique output. Not forcing it to be readable by human may give a more efficient solution. Kinda like compiled code.

[–] Oisteink@feddit.nl 2 points 7 months ago

I’d say it depends. Some patterns will be different. Like trying to create zig code when the LLM is trained mostly on javascript and python.

[–] robsteranium@lemmy.world 2 points 2 months ago

You can still leverage knowledge from a foundation model in a smaller fine-tuned one.

So the model might have learned general OOP principles from Java but it then drops redundant parameters about specific conventions like AbstractFactoryBuilders when it specialises on a language like Python which has no notion of Interfaces.

Likewise real world knowledge might help distinguish between accounting and database transactions when writing a banking application but you don't necessarily need your coding assistant to have memorised all the world cup winners since 1966.

These models are unwieldy so I think it makes a lot of sense to try and find ones that are tuned efficiently.