AI Glossary
Clear, jargon-free definitions of the most important artificial intelligence terms. 8 terms and growing.
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Artificial General Intelligence (AGI)
Hypothetical AI that would match human flexibility, able to learn and reason across any task rather than being limited to one; it does not yet exist.
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Artificial Intelligence (AI)
Computer technology that performs tasks normally requiring human intelligence, such as understanding language, recognising images, and making decisions — usually by learning patterns from data.
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Deep Learning
A type of machine learning that uses neural networks with many layers to learn complex patterns directly from large amounts of raw data.
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Generative AI
AI that creates new content — such as text, images, audio, or code — by learning patterns from large amounts of existing data.
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Large Language Model (LLM)
An AI model trained on huge amounts of text to predict and generate human-like language, powering tools like ChatGPT, Gemini, and Claude.
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Machine Learning (ML)
A type of AI in which software learns patterns from data instead of being explicitly programmed with rules, then uses those patterns to make predictions on new data.
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Neural Network
A computing system made of simple connected units called neurons, arranged in layers, that learns patterns by adjusting the strength of those connections.
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Training Data
The collection of examples an AI model learns from during training; its quality and quantity largely determine how well the model performs.