As Al grows, so do concerns about privacy and reliance on cloud services. What if advanced language models like LLaMA or Gemma could run entirely on your device? This would mean enhanced privacy, faster responses, and no need for constant internet access.
I've recently come across some interesting developments in this space, developing Privacy AI It's fascinating to see how close we are to a future where Al is more personal and secure. What are your thoughts on this shift?
Is the Future of Al Local and Private?
byu/painkiller128 inFuturology
3 Comments
A bit of both.
“Generative AIs” require obscene amounts of hardware to develop, they’ll remain in the hands of a few companies and governments with limited use as hype dies down.
Smaller neural networks already improve the machine learning we use in everyday life (autocorrect, text to speech, DLSS, analytics, etc.); it’s a steady, not a revolutionary improvement nobody is hyping, but initial training still requires monstrous machines before you can run inference locally.
I know I’d feel more comfortable with using a private, local AI. I don’t think I’m alone in this.
On Prem vs On Cloud has been a similar debate, the answer eventually will be hybrid combos that maximise the value by balancing cost and need for security/privacy.