Artificial Intelligence (AI)

Welcome to the UAS Egan Library's guide to Artificial Intelligence. This is not an exhaustive collection of resources and the rapid state of AI technological advancement may quickly make some of this information inaccurate. These resources and definitions have been curated to highlight the importance of AI literacy instruction as a component of the evolving information literacy instruction provided by the library to the UAS academic community. 

Artificial Intelligence: A machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. (National Institute of Standards and Technology)

Machine Learning: The development and use of computer systems that adapt and learn from data with the goal of improving accuracy. (National Institute of Standards and Technology)

Deep Learning: Deep learning is a subset of machine learning that uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. (IBM)

Retrieval Augmented Generation (RAG): a technique for enhancing the accuracy and reliability of generative AI models with information fetched from specific and relevant data sources. (NVIDIA)

Image credit: "Unraveling AI Complexity: A Comparative View of AI, Machine Learning, Deep Learning, and Generative AI" by Lily Popova Zhuhadar is licensed under CC-BY-SA.