Platt Scaling

Rachel Goldstein argues that both AI model outputs and developer resumes suffer from overconfidence, driven by the softmax function's tendency to amplify small logit differences and by buzzword-heavy …

Large language models (LLMs) frequently exhibit miscalibration, where their reported confidence scores do not match actual accuracy rates, with studies showing mean calibration scores as low as 23.9% …