iOS 17 uses a small gpt-2 based model for predictive text.
0x4E4F@sh.itjust.works 1 year ago
Phones don’t use LLM for predictive text. The algos are a lot less complex on phones.
Kichae@lemmy.ca 1 year ago
The algorithms are the same. The models are different, being trained on a smaller data set.
FooBarrington@lemmy.world 1 year ago
No, the algorithms are not the same. Phones don’t use transformer models for text prediction, they use Markov chain-based approaches. Where do you get these ideas?
0x4E4F@sh.itjust.works 1 year ago
Perhaps, I’m not a dev, especially not an iOS or Android one.
Knusper@feddit.de 1 year ago
I guess, the real question is: Could we be using (simplistic) LLMs on a phone for predictive text?
There’s some LLMs that can be run offline and which maybe wouldn’t use enormous amounts of battery. But I don’t know how good the quality of those is…
bassomitron@lemmy.world 1 year ago
The kind of local/offline LLMs that would work on your phone would not be very good quality. There’s been amazing progress of quantization of LLMs to get them working on weaker GPUs with lower VRAM and CPUs, so maybe it’ll occur, but I’m not an expert.
I also don’t foresee them linking it up to a cloud-based LLM as that’d be a shit load of queries and extremely expensive.
SpooksMcDoots@mander.xyz 1 year ago
Openhermes 2.5 Mistral 7b competes with LLMs that require 10x the resources. You could try it out on your phone.
Mr_Blott@lemmy.world 1 year ago
That was my next question, thanks!
Didn’t think of battery use, makes sense
Munkisquisher@lemmy.nz 1 year ago
A pre trained model isn’t going to learn how you type the more you use it. Though with Microsoft owning SwiftKey, I imagine they will try it soon
SidewaysHighways@lemmy.world 1 year ago
I was so heartbroken when I found out that Microsoft purchased Swiftkey. It was my favorite. Is there any way to still use it without Microsoft involved? Lawdhammercy
neptune@dmv.social 1 year ago
I think apple has pitched this for a future iPhone, yes.
squaresinger@feddit.de 1 year ago
They’ll probably have to offload that to a server farm in real time. That’s not gonna be easy.
0x4E4F@sh.itjust.works 1 year ago
I guess… why not… but the db is probably huge, like in the hundreds of GB (maybe even TB… who knows), can’t run that offline.