How do transformer models handle uncertainty in predictions?

They estimate uncertainty using probability distributions, ensembles, and sampling techniques.

Softmax outputs provide token-level probabilities, but these are often miscalibrated. Techniques like Monte Carlo dropout, ensemble decoding, and temperature scaling improve uncertainty estimation. This is critical for safe AI deployment.