this post was submitted on 26 Aug 2023
80 points (96.5% liked)
Asklemmy
43380 readers
1395 users here now
A loosely moderated place to ask open-ended questions
Search asklemmy ๐
If your post meets the following criteria, it's welcome here!
- Open-ended question
- Not offensive: at this point, we do not have the bandwidth to moderate overtly political discussions. Assume best intent and be excellent to each other.
- Not regarding using or support for Lemmy: context, see the list of support communities and tools for finding communities below
- Not ad nauseam inducing: please make sure it is a question that would be new to most members
- An actual topic of discussion
Looking for support?
Looking for a community?
- Lemmyverse: community search
- sub.rehab: maps old subreddits to fediverse options, marks official as such
- !lemmy411@lemmy.ca: a community for finding communities
~Icon~ ~by~ ~@Double_A@discuss.tchncs.de~
founded 5 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
I'm just a hobbyist, and not familiar with anything specific, or prepackaged in an app, but there are probably examples posted in the projects section of hugging face (=like the github + dev social-ish thing for AI). I'm not sure what is really possible locally as far as machine vision + text recognition + translation. I think it would be really difficult to build an accurate model to do this on the limited system memory of a phone. I'm not sure what/if Google is offloading onto their servers to make this happen or if they are tuning the hell out of an AI model to get it small enough. I mean, there is a reason why the Pixel line has a SoC called a Tensor core, (it is designed for AI), but I haven't explored models or toolchains for mobile deployment.