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Artificial Intelligence Research Guide

This guide offers information to help Library users learn basic information about AI.

Terms Used in AI

  • Generative AI: Algorithms, such as ChatGPT, trained on a model of language (text), audio or visual data that creates new text, image, or audio outputs, based on user instruction (prompts). Language-based generative AI assists in summarizing, revising, translating, or developing new texts, while image or sound-based generative AI can be applied to create illustrations, data visualizations, or synthesized music. Multi-modal generative AI algorithms use text to create images. 

  • Machine learning (ML): A type of AI that allows computers to learn from and make decisions based on various forms of data including images and text without being explicitly programmed.

  • Deep learning: A type of machine learning that uses neural networks to learn from data.

  • Neural networks: A type of machine learning algorithm that mimics the human brain in analyzing and learning patterns from data. Can be applied in learning and predicting user behavior, and for large dataset analysis.

  • Natural Language Processing (NLP): The ability of computers to understand and generate human language.

  • Computer vision: The ability of computers to interpret and analyze visual information, such as images and videos.

  • Robotics: The design, construction, and use of robots, which can perform tasks autonomously or with human guidance.

  • Reinforcement learning: A type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or punishments.

To see more AI terms go to:

Used under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/)

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