AI Glossary
Short, plain-language definitions optimized for "What is [term]?" searches. Explore the glossary or use the search.
A
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What is AI Ethics?
Principles and practices to ensure AI is developed and used responsibly and fairly.
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What is AI Guardrails?
Controls and policies that keep AI systems within ethical, legal, and technical boundaries.
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What is Algorithm?
A defined set of rules or steps a computer follows to solve a problem or complete a task.
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What is Application Programming Interface?
A set of rules that allows software applications to communicate and exchange data.
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What is Artificial Intelligence?
The field of building computer systems that can perform tasks that typically require human intelligence.
B
C
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What is Chatbot?
Software that simulates human conversation via text or voice.
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What is Cognitive Computing?
Systems aimed at mimicking human thought processes like understanding language and patterns.
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What is Computer Vision?
AI techniques that enable computers to understand and interpret images and video.
D
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What is Data Mining?
Extracting patterns and insights from large datasets using algorithms and statistical methods.
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What is Data Science?
An interdisciplinary field that uses methods and systems to derive insights from data.
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What is Deep Learning?
A type of machine learning that uses multi-layer neural networks to learn complex patterns.
E
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What is Embedding?
A vector representation of text or data that captures semantic meaning.
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What is Emergent Behavior?
Unplanned capabilities that arise from interactions within complex AI systems.
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What is Explainable AI?
Techniques that make model decisions understandable to humans.
F
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L
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What is Large Language Model?
A deep learning model trained on vast text data to understand and generate human-like language.
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What is Latent Space?
An abstract feature space where models represent patterns and relationships in data.
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What is Limited Memory?
AI systems that use recent data to inform decisions and improve predictions.
M
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P
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What is Pattern Recognition?
Using algorithms to detect and classify regularities in data.
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What is Predictive Analytics?
Analyzing historical data to forecast future events or behaviors.
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What is Prescriptive Analytics?
Recommending actions by evaluating scenarios, constraints, and objectives using data.
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What is Prompt?
An input instruction or example provided to an AI model to guide its output.
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What is Prompt Engineering?
The practice of designing inputs to guide generative AI models toward desired outputs.
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S
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What is Sentiment Analysis?
Automatically determining the emotion or opinion expressed in text.
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What is Structured Data?
Data organized into a defined schema that is easily searchable and analyzable.
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What is Supervised Learning?
Training models on labeled data to map inputs to known outputs.
T
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What is Token?
A chunk of text (or data) used by models as the basic unit of processing.
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What is Training?
The process of optimizing model parameters using data.
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What is Training Data?
Labeled or unlabeled examples used to teach a model patterns and relationships.
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What is Transfer Learning?
Leveraging knowledge from a pre-trained model to improve performance on a new task.
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What is Transformer?
A neural network architecture using attention mechanisms, foundational to modern LLMs.
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What is Turing Test?
A test of a machine’s ability to exhibit human-like intelligence in conversation.
U
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What is Underfitting?
When a model is too simple to capture the underlying pattern in data.
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What is Unstructured Data?
Information without a predefined schema, such as free text, images, or audio.
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What is Unsupervised Learning?
Learning patterns from unlabeled data, such as clustering or dimensionality reduction.