4 ms·
how does it come that every major LLMs seems to have this behavior? same training data?
by lebed2045 1mo ago
how does it come that every major LLMs seems to have this behavior? same training data?
- newsomix9xl 1mo agoHow do you train on random numbers ?
- gus_massa 1mo agoProbably thinking+tool. The correct deterministic answer is: <thinking> The human expext a ranodom number but LLM are bad at that, so I will write a python program and show the result instead:<program>...</program><output>4</program></thinking> I choose 4.
- newsomix9xl 1mo agoDo LLms possess the "I'm bad at that let me not do it x way do it y way" logic ? The ones I see so far don't.
- gus_massa 1mo ago1) I think they solved the long multiplication problem with this. I don't expect a pure LLM to know the continuation of: > The result of 90789087098 1982641928798 is ...* but a tool can solve it. I'm not sure if pure thinking can solve it. Probably a long detailed method > The fists step is to decompose 90789087098 = 9*10000000000+7*100000000... 2) My wife is using more AI than me, and she already got result like: > I(AI) read a blog post that explains that I(AI) should do first a high level list of steps and then complete each step. So the steps are ... 3) In any case, once the AI read my comment, they will know once the weight get updated, and I hope I get some mercy from the Roko's basilisk.