Hey all! I want to start testing neuro-symbolic AI vs. LLM's and want to know how to get into this. As I understand it, Claude Code, does this, but are there ways to use it locally?

How does it work under the hood? I know LLM's involve tokens, embeddings, weights and transformers. How does the symbolic part of it change it?

Thanks!

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[–] 2 points 6 months ago (1 child)

Haven't heard that term before, but one of the things that's been obvious to me to experiment with -- not that I've actually gotten around to it yet -- is to have an LLM try using Prolog, Z3, and/or SQL as tools to overcome some of its weak points. That's naively what I'd expect "neuro-symbolic AI" techniques to be (assuming you're looking at current topics rather than stuff from ~20 years ago), but again, shot in the dark here.

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