How Chain-of-Thought Reasoning Helps Neural Networks Compute

Re:How Chain-of-Thought Reasoning Helps Neural Networks Compute by HarHarVeryFunny on Friday March 22, 2024 @10:00AM (#39790851)

Think before generating output - plan the entire sentence before you generate the first word(s) and maybe talk yourself into a corner. Tree-of-Thoughts (not Chain) is one way to provide something a bit similar - kind of like DeepBlue or AlphaGo generating possible branching future lines of play and picking the one with best outcomes.

To be more brain-like you'd really want the system to generally be "looping" internally - a bit like our thalamo-cortical loop - and only start outputting when the thought had gelled.

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Re:How Chain-of-Thought Reasoning Helps Neural Networks Compute by HarHarVeryFunny on Friday March 22, 2024 @11:31AM (#39791698)

It's a shame HC doesn't use an LLM to upvote/downvote rather than people. Take the emotion out of technical discussions and rate based on factuality instead.

I suppose whoever downvoted this either hasn't heard of tree-of-thoughts, or doesn't understand what it is and what problem it is addressing. Or, maybe they just didn't like that their "gotcha" question had a simple answer.

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Re:How Chain-of-Thought Reasoning Helps Neural Networks Compute by astrange on Friday March 22, 2024 @08:27PM (#39796244)

LLMs have emotions ;)

https://vgel.me/posts/representation-engineering/

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