
self-supervised learning
/ˌself ˌsuːpərˌvaɪzd ˈlɜːrnɪŋ/
training where labels are derived from the data itself, like predicting masked words
“Self-supervised learning on next-token prediction requires no human labeling.”
Origin: Greek auto- self + Latin super- over + videre to see