Like, it literally creates answers out of thin air then sells it as if it's correct. It doesn't even try to get it right. What sort of redundancy is there in analyzing if the answer is correct before spewing it out? I thought LLMs were supposed to discern what the best answer is given what was said to it based on its training, yet it'll give answers that don't exist based on any training. It's not like it learned the wrong answer from a Reddit post and just posted what Reddit said. It legit is making up wrong answers then citing correct answers. It just outright gets it wrong almost on purpose.
Anyone understand why LLMs fail so much?
I understand they run correlations but how does it determine a wrong answer is the most correlated to the correct response given the prompt instead of the actual correct answer...
Almost mimics humans to a degree. Autistic sperg who tells you the truth that everyone hates in social contexts or the con artist who lies half the time but everyone loves him.
It's more like the NPC that repeats what other people say. If you don't like your LLM results, then real problem is the actual humans it's immitating.