4 ms·
Because if you had a logic layer capable of validating LLM's output, you wouldn't need the LLM.
by a-r-t 3y ago
Because if you had a logic layer capable of validating LLM's output, you wouldn't need the LLM.
- kendalf89 3y agoEven something as simple as censoring swear words would be in line with what openAI are trying to accomplish but they keep lobotomizing the model instead.
- ben_w 3y agoI think we still need an LLM to enable the system as a whole to understand vague and half-baked human input. I can easily ask an LLM to write be a function in a random programming language, then feed the output to a compiler, and pipe errors from the compiler back to the LLM. What doesn't work so well is typing "pong in java" into a bash shell. This isn't a perfect solution (not even for small projects), but it does demonstrate that automated validation can improve the output.
- a-r-t 3y agoThis is what ChatGPT's Code Interpreter does (writes code in Python and then runs it to check for errors). I'm not sure if it's enabled for everyone yet though.
- turmeric_root 3y agoc'mon just write a function that takes in text and tells you whether or not it's true, how hard could it be