Chain of thought is basically reasoning as humans do it, the only difference is ... | Hacker News

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		CuriouslyC on March 13, 2024 \| parent \| context \| favorite \| on: Large Language Models Are Neurosymbolic Reasoners Chain of thought is basically reasoning as humans do it, the only difference is that unlike humans the model can't see that its output is wrong, abandon a line of reasoning and re-prompt itself (yet).

naasking on March 13, 2024 | [–]

Various attempts at feeding their output back in to check itself have shown marked improvements in accuracy.

skenderbeu on March 13, 2024 | [–]

Multi agent LLMs talking to each other can already do this. It's just not cost feasible yet because it can lead to infinite loops and no solutions

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