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Glossary

Grow your expertise with curated industry terms on WordPress, SEO, AI, performance, and growth.

AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Open Source AI

AI models whose weights, architecture, and sometimes training data are publicly available for anyone to use, study, and modify.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Bias in AI

Systematic errors in AI model outputs caused by imbalanced or unrepresentative training data or design choices.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

AI Governance

The policies, processes, and frameworks organizations use to ensure responsible and ethical AI deployment.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Multimodal AI

An AI system capable of processing and generating multiple types of data, such as text, images, audio, and video.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Temperature

A parameter that controls the randomness and creativity of an AI model's output.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Zero-Shot / Few-Shot Learning

An AI model's ability to perform tasks with no examples (zero-shot) or a small number of examples (few-shot) provided in...

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

System Prompt

Instructions given to an AI model that define its behavior, persona, and constraints for a given application.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

AI Agent

A software system powered by an AI model that can perceive its environment, make decisions, and take actions to achieve...

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Hallucination

When an AI model generates confident but factually incorrect or fabricated information.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Agentic AI

AI systems capable of autonomously taking sequences of actions to complete complex, multi-step tasks.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Vector Database

A database optimized for storing and searching embeddings (vector representations of data) for AI applications.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Embedding

A numerical representation of text or other data that captures semantic meaning for use in AI systems.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Artificial Intelligence (AI)

The simulation of human intelligence processes by computer systems.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Inference

The process of using a trained AI model to generate outputs from new inputs.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Foundation Model

A large AI model trained on broad data that serves as a base for many downstream applications.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Fine-Tuning

The process of further training a pre-trained AI model on a specific dataset to improve its performance for a particular...

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Context Window

The maximum amount of text a language model can process and consider in a single interaction.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Token

The basic unit of text that a language model processes, roughly equivalent to a word or word fragment.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Transformer Model

The neural network architecture that underlies modern large language models and many AI systems.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Natural Language Processing (NLP)

The branch of AI focused on enabling computers to understand, interpret, and generate human language.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Neural Network

A computational model loosely inspired by the human brain that processes information through interconnected layers of nodes.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Deep Learning

A subset of machine learning using multi-layered neural networks to process complex data.

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AI Fundamentals · LLM
Jun 24, 2026· 1 min read

Machine Learning (ML)

A subset of AI where systems learn from data to improve performance without being explicitly programmed.

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