this post was submitted on 29 Aug 2024
92 points (100.0% liked)

Technology

37599 readers
268 users here now

A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.

Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.

Subcommunities on Beehaw:


This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.

founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] sparky@lemmy.federate.cc 76 points 2 weeks ago* (last edited 2 weeks ago) (13 children)

This kind of seems like a non-article to me. LLMs are trained on the corpus of written text that exists out in the world, which are overwhelmingly standard English. American dialects effectively only exist while spoken, be it a regional or city dialect, the black or chicano dialect, etc. So how would LLMs learn them? Seems like not a bias by AI models themselves, rather a reflection of the source material.

[–] Melody@lemmy.one 4 points 2 weeks ago

Yeah this seems like a non-issue to me as well; the source material for the models is probably the cause of this bias.

I also don't think there's a lot of sources for this manner of speaking. Let's also not forget that there's oftentimes instructions given to the LLM that ask it to avoid certain topics which it will in fact do.

load more comments (12 replies)