Recent advancements in the sophistication of and capacity of artificial intelligence (AI) platforms as well as the public release of interactive generative AI tools has renewed public interest in the field. The current generation of AI algorithms and tools are descendants of pioneering work on cognitive science, computer science, economics, game theory, and mathematics going back to the 1950s.
Early Developments in Artificial Intelligence
Modern AI platforms are composed of multiple groups of algorithms with different goals. At their simplest, these platforms take training data, use machine learning algorithms to "learn" from this data, and then pass on what it has learned to a model which uses this knowledge to generate some output. Below are some simple definitions for key ideas related to modern AI platforms. See the IBM link below for more information.