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Generative Artificial Intelligence (GAI) is a type of artificial intelligence (AI) that can generate text, images, videos, and other content in response to a user prompt, based on its training data. Examples include ChatGPT, Copilot, and Gemini.
Large Language Models (LLMs) are trained on large amounts of text to understand existing content and generate original content. They use the content fed to them to predict what word typically comes next when prompted for more information, almost like a very advanced autocomplete. They do not think or create content the way a human does. They are simply predicting! LLMs are often used as chatbots that respond to user prompts in a human-like way.
AI exists in many forms from helping you navigate around a traffic jam to the facial recognition that helps you unlock your phone. Generative AI is different because it allows you to generate new content based on prompts.
This 3 minute overview by Hal Daumé III, Professor of Computer Science at University of Maryland and Institute Director for the Institute for Trustworthy AI in Law & Society (TRAILS) explains how Generative AI works in plain language.