Chain rule for joint probability

Joint probability is important in the AI space; it's what underlies the mechanics of generative models, which are able to replicate voice, pictures, and other unstructured information. These models learn the joint probability distribution of a phenomenon. They generate all possible values for a given object or event. A chain rule is a technique by which to evaluate the join probability of two variables. Formally, it is written as follows: