Читать книгу Enterprise AI For Dummies - Zachary Jarvinen - Страница 83

As computer scientist Andrew Ng points out, “Despite AI’s breadth of impact, the types of AI being deployed are still extremely limited. Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B).”

Often, response B consists of nothing more than “Is this X or not X?” For example:

 Is this transaction nominal or anomalous?

 Is this document a patient case history?

 Does this image contain a human face?

This capability is known as supervised learning, in which AI learns the relationship between A and B by processing massive amounts of data, guided by humans to establish the rules that govern the decisions. (See Chapter 1 for more information.)

In other cases, B is a transformation of A, such as when AI is used for transcribing or translating a passage. This capability is known as natural-language processing.