AI Concepts A–Z

This is a plain-English concept index for HowAIModelsWork.com. Use it like a practical glossary: each concept gives you a short explanation and a link to a deeper article or guide.

A

AI agent

An AI system that may plan steps, use tools, and act across a task.

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AI alignment

The attempt to shape AI behavior toward intended human goals and rules.

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AI model

A trained system that produces outputs from learned patterns.

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Attention

A mechanism that helps a model weigh which parts of the input matter most.

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C

Chain-of-thought prompting

A prompting style that asks the model to work through steps.

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Chunking

Splitting documents into pieces so retrieval systems can search them more easily.

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Computer vision

AI systems that process images and visual information.

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Context window

The amount of text and information the model can consider at one time.

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E

Embeddings

Number-like representations that help AI compare meaning.

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F

Fine-tuning

A later training step used to adjust a model for a task, behavior, or style.

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Function calling

A way for AI to connect a response to a tool or external action.

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G

Generative AI

AI that creates text, images, code, audio, or other outputs.

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Grounding

Connecting an AI answer to source material or external information.

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H

Hallucination

A fluent AI answer that may be wrong, unsupported, or invented.

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M

Mixture of Experts

A model design that activates selected expert parts instead of using everything equally.

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Model collapse

A risk that can appear when models learn too much from AI-generated material.

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R

RAG

Retrieval-augmented generation: when AI looks things up before answering.

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Reasoning model

A model designed to spend more effort on multi-step problems.

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Retrieval

Finding source material before generating an answer.

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RLHF

Reinforcement learning from human feedback, used to shape model behavior.

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S

Sampling

How a model chooses one possible next token from many possible options.

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Synthetic data

Data generated artificially, sometimes by AI systems themselves.

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T

Temperature

A setting that affects how predictable or varied an AI answer may be.

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Token

A small piece of text that an AI model reads or predicts.

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Transformer

A model architecture behind many modern language models.

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V

Vector database

A database designed to search by meaning instead of exact keywords.

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Voice AI

AI systems that process or generate spoken language.

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