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Models are often wrong but sometimes useful. Models that provide answers couched in a certain level of confidence are miscalibrated when all answers are given c
by renjimen 2y ago
Models are often wrong but sometimes useful. Models that provide answers couched in a certain level of confidence are miscalibrated when all answers are given confidently. New training paradigms attempt to better calibrate model confidence in post-training, but clearly there are competing incentives to give answers confidently given the economics of the AI arms race.