Re:Show HN: Route your prompts to the best LLM
by danlenton on Thursday May 23, 2024 @06:34AM
(#40452959)
Currently, we simply use GPT4-as-a-judge, with a general system prompt we've written which is task agnostic. This is then used to train the neural scoring function, which predicts quality ahead-of-time. However, it's on our roadmap to add make the judging more flexible, potentially task-specific judge prompts and in-context examples, also perhaps using a jury [https://arxiv.org/pdf/2404.18796].
That is, how do you quantify "better"?
Imagine I asked: Write me a sad poem about "Yorick" in Hamlet?
You have to predict which LLM is going to be produce the "best" poem, but by what criterion do you evaluate that?