It is theorized here that in a set of neurons, some electrical impulses break off to go ahead of others, to ‘interact’ with [or trigger the release of] chemical
LLMs are simply known to work with the statistical likelihood of what the next text would be, using the transformer architecture. The brain, in neuroscience, is believed to generate predictions, using an internal model, to match the incoming external model, correcting the error in cases that don’t initially match. LLMs are accurate where the texts generated are consistent with facts. They often generate as they do, sometimes resulting in making up stuff or inaccuracies.
E=E2 + E1 E1 + C1 E2 + C2 Where E1 is the go before of electrical impulse E2 is the follow-up of electrical impulse if E1 does not match C1 is the chemical impulse formation, for the interaction like prior C2 is the chemical impulse formation, for the subsequent interaction The observation of prediction and error are processes of splits, interaction, and distribution of electrical and chemical impulses.
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