I receive alerts when people are outside my house, using security cameras, Blue Iris, CodeProject AI, Node-RED and Home Assistant, using a Google Coral for local AI. That’s a good use case for AI.
Comment on Linus Torvalds reckons AI is ‘90% marketing and 10% reality’
paddirn@lemmy.world 2 weeks agoI really want to like AI, I’d love to have an intelligent AI assistant or something, but I just struggle to find any uses for it outside of some really niche cases or for basic brainstorming tasks. Otherwise, it just feels like alot of work for very little benefit or results that I can’t even trust or use.
dan@upvote.au 2 weeks ago
WalnutLum@lemmy.ml 2 weeks ago
I’ve been curious about google coral, but their memory is so tiny I’m not sure what kinds of models you can run on them
dan@upvote.au 2 weeks ago
A lot of people use them for the use case I described (object detection for security cameras), using either Blue Iris or Frigate. They work pretty well for that use case.
Wake word detection is a good use case too (eg if you’re making your own smart assistant).
The Coral site lists a few use cases.
brucethemoose@lemmy.world 2 weeks ago
I dunno about that.
I keep Qwen 32B loaded on my desktop pretty much whenever its on, as an (unreliable) assistant to analyze or parse big texts, to do quick chores, to bounce ideas off of or even as a offline replacement for google translate (though I specifically use aya 32B for that)
brbposting@sh.itjust.works 2 weeks ago
Attractive. You got some pretty solid specs?
Rue the day I cheaped out on RAM. soldered RAMmmm
brucethemoose@lemmy.world 2 weeks ago
Soldered is better! It’s usually faster.
But TBH the only thing that really matters his “how much VRAM do you have,” and Qwen 32B slots in at 24GB, or maybe 16GB if the GPU is totally empty and you tune your quantization carefully.