Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI — Clearly Explained

Artificial Intelligence is the broadest field, initially encompassing rule-based systems where human logic was explicitly coded. Machine Learning is a subset of AI that shifts this paradigm by enabling systems to learn rules directly from data examples. Deep Learning, a more advanced form of Machine Learning, uses multi-layered neural networks to automatically learn complex features and representations from unstructured data like images and text. This ability to understand data structure on a deep level paves the way for Generative AI, which moves from analysis to creation by producing new, original content. The relationship between these concepts is explained using the analogy of Matryoshka dolls, where each is a subset of the previous one.