alt Hacker NewsYet RAG systems can perform quite well, so it's a definite proof that you can build something reliable most of the time out of something not reliable in the first place.
Yet RAG systems can perform quite well, so it's a definite proof that you can build something reliable most of the time out of something not reliable in the first place.
only if you lower your standards as to what "quite well". The biggest con by the AI industry so far is convincing people that 90% is somehow "quite well".
90% is only enough for uninformed people to buy into it, and fuel the hype train. 90% is low enough to be pretty much unusable in most production environments.
This is like coding FizzBuzz but only emitting Fizz, Buzz or a number, and skiping FizzBuzz, then claiming that your system is 93.3% accurate because only every 15th output is wrong. 93.3% is utter crap.