The Annotated JEPA provides a comprehensive guide to Joint Embedding Predictive Architectures, detailing each component and culminating in a functional training loop. JEPA, proposed by Yann LeCun, aims to enable models to learn about the world in a self-supervised manner without relying on labeled data.