Could real neurons be used for LLMs? (lemm.ee)

submitted 7 months ago by flashgnash@lemm.ee to c/asklemmy@lemmy.ml

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There's a video on YouTube where someone has managed to train a network of rat neurons to play doom, the way they did it seems reminiscent of how we train ML models

I am under the impression from the video that real neurons are a lot better at learning than simulated ones (and much less power demanding)

Could any ML problems, such as natural language generation be solved using neurons instead and would that be in any way practical?

Ethically at this point is this neuron array considered conscious in any way?

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[-] aDogCalledSpot@lemmy.zip 3 points 7 months ago

Our current ML Neural Networks work (simplified) like this: A neuron emits a number and the next neuron calculates a new number to emit based on all the values given to it by other neurons as inputs. Our brain can't fire numbers in this way. So there's a fundamental difference. Bridging this difference to create NNs that are more similar to our brains is the basis of the study of Spiking Neural Networks. Their performance so far isn't great, but it's an interesting topic of research.

this post was submitted on 08 Apr 2024

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