Really cool paper!

AKA the “Concrete” distribution, which I think is a much better name lol

Basically a continuous relaxation of discrete random variables, lets you do stuff like differentiating through sampling (e.g. argmax) operations

Reading that answer, I’m realizing this may actually qualify as “a big jeopardy person”

Not so much recently. I watched it a lot as a kid, and then my wife and I were watching it regularly for almost a year right at the start of Covid — was pretty fun, you can also turn up the difficulty by trying to like, guess what the clues and answers are going to be just from the categories

yes, but only because of a final jeopardy back in 2020 that was actually trying to clue a different poem

the different midjourney variations are so interesting. like, the whole row of guys w/ really crazy eyes, not sure where it got that from the prompt, but has a real Ilya Repin -- Ivan the Terrible / Goya -- Saturn vibe

Anyway, not exactly a guide on how to prompt, but I do think interacting with multiple chat models is a great way to get an understanding of “what’s common” to different models/LLMs more broadly

I could imagine that playing around querying OpenEvidence and then submitting the same queries to, say, ChatGPT with and without search enabled could be an interesting way to understand what sort of questions models tend to be reliable for, when hallucinations are more likely, etc

For more clinically-oriented things, I’ve really enjoyed the OpenEvidence platform. Currently free, and grounds all of its generations in real guidelines/trials/etc. www.openevidence.com