A Simple Guide to Common AI Terms: From LLMs to Hallucinations

Decoding AI Jargon

Artificial intelligence is reshaping industries and headlines, but the technology comes with a flood of complex jargon. This article breaks down commonly used AI terms, making sense of concepts such as large language models (LLMs), training data, and neural networks. By clarifying these terms, the guide aims to support readers from all backgrounds in navigating news about AI, helping them to better recognize the differences between technical reality and industry hype.

Understanding Hallucinations and More

One concept highlighted is “hallucinations”—when AI models produce convincing but incorrect or fabricated information. The guide also covers the basics of model parameters, prompts, and the differences between AI, machine learning, and deep learning. By offering plain-language definitions, the article empowers readers to critically engage with the tools and trends that are rapidly reshaping conversations in technology and society.