LibGuides: Artificial Intelligence (AI): Definitions & Terms

Definitions

Generative ai - "Generative Artificial Intelligence (AI) is a term for technologies that can create content—including text, images, and computer code—by recognizing patterns in a data set on which it has been trained, and generating new material."
Ghost citations - citations that are fabricated either in whole or part (for example, a real author but in an otherwise made up citation)
Ai hallucination - "AI hallucination is a phenomenon wherein a large language model (LLM)—often a generative AI chatbot or computer vision tool—perceives patterns or objects that are nonexistent or imperceptible to human observers, creating outputs that are nonsensical or altogether inaccurate."

What are AI hallucinations? (n.d.). Ibm.com. Retrieved November 15, 2023, from https://www.ibm.com/topics/ai-hallucinations

About Generative AI. (n.d.). Harvard.Edu. Retrieved November 15, 2023, from https://huit.harvard.edu/ai/about

Artifical Intelligence (AI) - Britannica topic & examples
The ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.
Large Language Model (LLM) - Britannica Topic
A deep-learning algorithm that uses massive amounts of parameters and training data to understand and predict text. This generative artificial intelligence-based model can perform a variety of natural language processing tasks outside of simple text generation, including revising and translating content.
Natural Language Processing (NLP) - IBM topic
Natural language processing (NLP) is a subfield of computer science and artificial intelligence (AI) that uses machine learning to enable computers to understand and communicate with human language.
Retrieval Augmented Generation (RAG) - Nvidia blog
Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with information fetched from specific and relevant data sources.