Comment by eob
10 months ago
Or vice versa - perhaps some subset of the "thought chains" of Cyc's inference system could be useful training data for LLMs.
10 months ago
Or vice versa - perhaps some subset of the "thought chains" of Cyc's inference system could be useful training data for LLMs.
When I first learned about LLMs, what came to mind is some sort of "meeting of the minds" with Cyc. 'Twas not to be, apparently.
I view Cyc's role there as a RAG for common sense reasoning. It might prevent models from advising glue on pizza.
You must not read ingredients on products or eat library paste. ;)
Also: MEAT GLUE (transglutanimase)!
https://en.wikipedia.org/wiki/Transglutaminase
https://en.wikipedia.org/wiki/Molecular_gastronomy
https://lyndeymilan.blogspot.com/2010/01/question-what-is-oc...
https://www.youtube.com/watch?v=oA8sNJjlQzU
https://www.youtube.com/watch?v=XAVO6hzNTns
sure but the bigger models don’t make these trivial mistakes, and I’m not sure if translating the LLM english sentences into LISP and trying to check them is going to be more accurate than just training the models better
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