AI Glossary
Essential AI terms explained in plain language
Artificial Intelligence (AI)
The simulation of human intelligence by machines, enabling them to learn, reason, and make decisions.
Machine Learning (ML)
A subset of AI where systems learn from data to improve performance without explicit programming.
Large Language Model (LLM)
AI models trained on vast text data to understand and generate human-like language.
Neural Network
Computing systems inspired by biological neural networks that can learn patterns from data.
Deep Learning
A subset of machine learning using multi-layered neural networks for complex pattern recognition.
Natural Language Processing (NLP)
AI technology that enables computers to understand, interpret, and generate human language.
Generative AI
AI systems that can create new content including text, images, audio, and video.
Prompt
The input text or instructions given to an AI model to generate a response.
Fine-tuning
The process of training a pre-trained model on specific data to improve performance on particular tasks.
Hallucination
When an AI model generates incorrect or fabricated information that appears plausible.
Token
The basic unit of text that language models process, typically a word or part of a word.
Transformer
A neural network architecture that powers most modern language models, enabling parallel processing of text.