this post was submitted on 27 Apr 2024
314 points (90.7% liked)
Technology
59534 readers
3195 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
It's already here. I run AI models via my GPU with training data from various sources for both searching/GPT-like chat and images. You can basically point-and-click and do this with GPT4All which integrates a chat client and let's you just select some popular AI models without knowing how to really do anything or use the CLI. It basically gives you a ChatGPT experience offline using your GPU if it has enough VRAM or CPU if it doesn't for whatever particular model you're using. It doesn't do images I don't think but there are other projects out there that simplify doing it using your own stuff.
The m series Mac s with unified memory and ML cores are insanely powerful and much more flexible because your 32gb of system memory is now GPU vram etc
I was meaning for mobile tech, running your own personal AI on your phone.
Right now the closest we have to that is running ampere clusters. I'm saying that because it is going to be some years before any phone GPU/CPU is going to be able to effectively run a decent AI model. I don't doubt there will be some sort of marketing for 'boosting' AI via your phone CPU/GPU but it isn't going to do much more than be a marketing ploy.
It is far more likely that it will still continue to be offloaded to the cloud. There is going to be much more market motivation to continue to put your data on the cloud instead of off of it.