this post was submitted on 01 Jun 2024
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[–] [email protected] 31 points 5 months ago (15 children)

We invented multi bit models so we could get more accuracy since neural networks are based off human brains which are 1 bit models themselves. A 2 bit neuron is 4 times as capable as a 1 bit neuron but only double the size and power requirements. This whole thing sounds like bs to me. But then again maybe complexity is more efficient than per unit capability since thats the tradeoff.

[–] [email protected] 2 points 5 months ago

Multi bits models exist because thats how computers work, but there's been a lot of work to use e.g. fixed point over floating for things like FPGAs, or with shorter integer types, and often results are more than good enough.

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