Want to know AI terminology? From NLP to neural networks, learn the basics

With the rise of artificial intelligence, a technology aimed at mimicking human thinking, a bewildering array of new terms has emerged. From generative AI to machine learning to neural nets to hallucinations, we’ve acquired a whole new vocabulary. Here, we introduce some of the most important concepts behind AI to demystify one of the most influential technology revolutions of our lifetime.

algorithm: Today an algorithm is typically a set of instructions for a computer to follow. Those designed to search and sort data are examples of computer algorithms that work to take information and arrange it in a particular order. It can consist of words, numbers, codes and symbols, as long as they detail finite steps to complete a task. But algorithms have ancient origins, going back at least to the Babylonian clay tablets. The Euclidean algorithm of division is still in use today, and even brushing your teeth can be distilled into an algorithm, although it is quite complex given the fine-grained coordination of movements that goes into daily rituals.