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Computers are not supposed to get stuff wrong. Being right some of the time just isn't good enough for people who expect their calculator to always give them th
by mattlondon 3y ago
Computers are not supposed to get stuff wrong. Being right some of the time just isn't good enough for people who expect their calculator to always give them the right answers.
I think we can all agree that LLMs, as they stand today, are useless for anything apart from "creative tasks" where accuracy and facts simply don't matter. So things like writing fan fiction it is great at, but for anything meaningful it is utter tripe. No one can deny this.
- thaw13579 3y agoThey’re useful for tasks that are easy to verify but hard to generate, and code is one meaningful example. It seems trite to say after so many others, but I built a web app in one day by pair coding with GPT-4, which I am sure would have taken weeks, mostly learning the quirks of the various frameworks involved by sifting through the noise of the web. The LLM wasn’t correct 100% of the time, but I could iterate with it when there was a problem and debug. It probably helps that I was using hugely popular libraries, but I think this means there’s a ton of promise in fine-tuning these models on internal codebases/docs.