AI Glossary for Students
Short, simple definitions of every term you'll meet in AIKO worlds and CBSE AI syllabi.
Artificial Intelligence (AI)
Systems that learn from data to make decisions or predictions.
Machine Learning (ML)
Software that learns patterns from data instead of being hard-coded.
Deep Learning
ML using multi-layer neural networks for complex patterns.
Neural Network
A network of simple units that combine to learn complex patterns.
Data
Information AI learns from — numbers, text, images, audio.
Dataset
A collection of examples used to train or test an AI model.
Algorithm
A step-by-step procedure for solving a problem.
Prompt
The instruction you give to a generative AI model.
Generative AI
AI that produces new text, images, audio or code.
Computer Vision (CV)
AI for understanding images and video.
Natural Language Processing (NLP)
AI for understanding and generating human language.
Model
A mathematical function trained on data to make predictions.
Training
The process of teaching a model from data.
Bias
Unfair tendency in model outputs caused by data or design.
AI Ethics
The study of doing AI in ways that are fair, safe and accountable.
Hallucination
When an AI model produces confident but wrong information.
Token
A chunk of text — usually a word or a piece of a word.
Transformer
A neural-network architecture that powers most modern LLMs.
RAG (Retrieval-Augmented Generation)
Grounding an LLM in your own documents for accurate answers.
MLOps
Operations and engineering practices for shipping ML in production.