this post was submitted on 17 Sep 2024
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Computation and storage limitations
To be fair, the first time I tried running local AI (and it actually worked), I was so surprised that I actually unplugged my Ethernet and tried again. I'm still surprised, but it's possible for the massive amounts of training data to be compressed to a model under only 10 or 20 GB.
You can run a basic model on pretty mid-range hardware, the smaller ones are only 1-2GB in size.
You overestimate the hardware required to run AI.
I can run Llama3 on my desktop with a 3060, answers are near instant.
Username checks out
model training is often exorbitantly high-energy and storage, but the model output is not: GPT3 cost $7 million dollars just in electricity costs to train, but the model is "only" 500 GB, and can be run locally on just CPU processing
cool