AI Glossary · 60 terms · Plain English

The AI glossary that actually explains things.

60 AI terms — LLM, RAG, fine-tuning, agents, embeddings, prompt engineering, and more — explained in plain English. Each entry links to a full guide on the site so you can go deeper without getting buried in jargon.

Techniques & Methods

AI Detector

A tool that estimates how likely a piece of text was written by AI.

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AI Eval

Systematic tests that measure whether an AI model or app produces good output.

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AI Humanizer

A tool that rewrites AI-generated text to sound like a real person wrote it.

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AI Voice Cloning

AI that recreates a specific human voice from a short audio sample.

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Background Coding Agent

An AI coding agent that works asynchronously in the cloud — assign a task, get a PR hours later.

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Chain-of-Thought (CoT)

Prompting an AI to "show its work" — dramatically improves accuracy on hard problems.

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Computer Use

AI that can see your screen, move your cursor, and click — controlling a computer like a person would.

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Embeddings

How AI represents meaning as lists of numbers — the math behind search and RAG.

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Fine-Tuning

Continuing to train a pre-trained AI model on your own specific data.

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Function Calling

How LLMs invoke tools — the model outputs structured JSON instead of free text.

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Model Context Protocol (MCP)

The open standard that lets AI assistants connect to external tools and data sources.

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Model Distillation

Training a small AI model to mimic a larger one — how GPT-5 mini came from GPT-5.

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Prompt Caching

A pricing trick that cuts AI API input cost by 50–90% for repeat-context workflows.

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Prompt Engineering

The skill of writing clear, structured instructions that get the best results from AI.

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RAG (Retrieval Augmented Generation)

The technique that lets AI actually know things it was not trained on.

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RAG vs Fine-Tuning

When to use RAG (retrieval) versus fine-tuning (continued training) — the central architectural choice.

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RLHF (Reinforcement Learning from Human Feedback)

How AI labs teach models to be helpful, harmless, and honest — using human ratings.

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Speculative Decoding

A trick that makes frontier AI 2-3x faster by using a tiny model to guess tokens for a big one to verify.

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Temperature

The AI setting that controls how creative (high) or predictable (low) responses are.

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Test-Time Compute

Letting an AI think longer at inference time — the breakthrough behind reasoning models.

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Tool Use

How AI models call external tools — search, code execution, APIs — to do real work.

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Tools & Platforms

AI Search

Search engines that synthesise answers from sources rather than returning a list of links.

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ChatGPT

OpenAI's flagship AI assistant — the app that kicked off the AI boom in late 2022.

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Claude

Anthropic's AI assistant — known for writing quality, long-document analysis, and coding.

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Cursor

The AI-first VS Code fork — most-used AI coding tool among professional developers.

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Devin

Cognition's autonomous AI software engineer — takes a Jira ticket, opens a PR.

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ElevenLabs

The leading AI voice generator — natural-sounding voices, cloning, multilingual.

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GitHub Copilot

The AI coding autocomplete that started the AI-pair-programming category.

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Hugging Face

The GitHub of AI — hosts open-source models, datasets, and inference for the whole community.

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Midjourney

The AI image generator with the most distinctive aesthetic — runs in Discord.

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NotebookLM

Google's research notebook — upload sources, get a personalised AI tutor with citations.

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Open Source AI

AI models whose weights are publicly released — anyone can run, fine-tune, and modify them.

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Perplexity

The AI search engine — answers with citations, replaces Google for research queries.

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Sora 2

OpenAI's AI video generator — text or image to high-quality video clips.

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Stable Diffusion

The open-source AI image generator — runs locally, infinitely customisable.

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Vector Database

A database optimised for storing and searching AI embeddings — the backbone of every RAG system.

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