Generative AI Glossary

AI helps machines analyze information, follow patterns, and produce useful outputs without every step being manually programmed.

Generative AI turns an instruction, question, document, or other input into a new output that resembles the kind of material it learned from during training.

Large language models respond to prompts by predicting useful text based on patterns learned during training.

Training data can include text, images, audio, video, transactions, labels, measurements, or examples from past activity.

The model is the part of an AI system that performs the learned task, while the product around it handles the user interface, data, tools, and workflow.

A prompt can be a simple question, a detailed task description, a set of constraints, an example, or a conversation history.