That reduces the quality of the response though.
replyAs opposed to emitting non-JSON tokens and having to throw away the answer?
replyDon't shoot the messenger
replyOr just run json.dumps on the correct answer in the wrong format.
replyTHIS IS LIES: https://blog.dottxt.ai/say-what-you-mean.html
replyI will die on this hill and I have a bunch of other Arxiv links from better peer reviewed sources than yours to back my claim up (i.e. NeurIPS caliber papers with more citations than yours claiming it does harm the outputs)
Any actual impact of structured/constrained generation on the outputs is a SAMPLER problem, and you can fix what little impact may exist with things like https://arxiv.org/abs/2410.01103
Decoding is intentionally nerfed/kept to top_k/top_p by model providers because of a conspiracy against high temperature sampling: https://gist.github.com/Hellisotherpeople/71ba712f9f899adcb0...
I honestly would like to hope people were more up in arms over this, but.. based on historical human tendencies, convenience will win here.
replyI use LLMs for Actual Work (boring shit).
replyI always set temperature to literally zero and don't sample.