The Annotated JEPA: A Step-by-Step Guide to Yann LeCun's World Models

The Annotated JEPA

I walk you through building Joint Embedding Predictive Architectures from scratch, explaining how to train models to understand the world without labels. Unlike traditional methods that reconstruct pixels, JEPA predicts in a latent space to capture semantic meaning while ignoring noise. I detail the asymmetric design that prevents model collapse and explore how this approach powers future autonomous intelligence.

"The predictor cannot hallucinate structure that the context encoding lacks."