Self-supervised learning (SSL) in AI: understanding the basics
Self-supervised learning (SSL) is a type of machine learning technique where an AI model learns to identify and understand patterns in data without explicit supervision. In other words, it involves training an AI model to learn from the data itself, rather than from explicit labels or annotations.
