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AI Guide for Students

This guide is designed to assist students with using artificial intelligence (AI) tools for research.
What is Artificial Intelligence (AI)?

Created by Duke University.

Glossary of Artificial Intelligence (AI) Terminology

AGI: Artificial general intelligence has not yet been realized and would be when an AI system can learn, understand, and solve any problem that a human can.

AI: The simulation of human intelligence in machines.

ChatGPT: An AI program developed by OpenAI that generates human-like text responses based on given prompts, utilizing the GPT model.

Generative Pre-Training Transformer (GPT): An autoregressive language prediction model using deep learning to produce human-like text, serving as the basis for ChatGPT.

Large Language Models: Apply deep neural networks to text data and generate output from prompts.

Machine learning: A sub field of AI focused on the problems of designing recursive algorithms capable of learning.

Natural Language Processing: Refers to a branch of artificial intelligence concerned with giving computers the ability to understand text and spoken word in the same way humans can.

Supervised learning: A machine learning technique where the authors of the model tell the machine learning algorithm how to handle the training data in order to generate the desired output.

Training data: The information that is digested by a machine learning algorithm.

Unsupervised learning: A machine learning technique where the machine learning algorithm creates its own labels for variables within the training data.