We are at a logical impasse... i.e. failure to understand the noted ROC curve is often a metric that matters in ML development, and LLMs are trivially broken a

We are at a logical impasse... i.e. failure to understand the noted ROC curve is often a metric that matters in ML development, and LLMs are trivially broken at the tokenization layer: https://en.wikipedia.org/wiki/Receiver_operating_characteristic https://en.wikipedia.org/wiki/Receiver_operating_characteris... Note, introducing a straw-man argument and or bot slop in an unrelated topic is silly. My anecdotal opinion does not really matter on the subject of algorithmic performance standards. yawn... super boring like ML... lol https://en.wikipedia.org/wiki/File:Yawning_koala_bear_(3589381656)_(cropped).jpg https://en.wikipedia.org/wiki/File:Yawning_koala_bear_(35893... Best of luck, =3