Joint Embedding Predictive Architecture (JEPA)
- introduced by Yann LeCun
- is an AI approach where models learn by predicting abstract representations of missing or future information instead of exact data like pixels or words, helping them understand meaning, structure, and cause-and-effect more like humans do