Self-supervised learning is a machine learning approach where the model learns from unlabeled data by creating its own labels or tasks. This method helps in understanding data patterns and improving model performance without extensive human labeling.
The training data for training DALL·E 2 consists of a diverse range of images and text descriptions to teach the…