📖 AI Glossary
A beginner‑friendly guide to the most common AI terms
🌿 HOW TO USE THIS GLOSSARY
This glossary is designed to help beginners and busy professionals feel confident using AI tools.
Use it when you want to:
- Understand a term you’ve seen in an AI tool
- Improve your prompts
- Compare features across ChatGPT, Claude, Gemini, and Copilot
- Learn the basics without technical jargon
Dip in as needed. Each definition stands alone.
1. AI (Artificial Intelligence)
Meaning: Technology that performs tasks that normally require human thinking.
Example: AI drafts an email when you give it a short instruction.
2. LLM (Large Language Model)
Meaning: A type of AI trained on huge amounts of text so it can understand and generate language.
Example: ChatGPT, Claude, Gemini, and Copilot are all LLMs.
3. Prompt
Meaning: The message or instruction you give the AI.
Example: “Write a friendly reminder email for my client.”
4. Prompt Engineering
Meaning: Writing clear, structured prompts to get better results.
Example:
“Write a 150‑word LinkedIn post in a warm, confident tone about staying focused as a solopreneur.”
5. Iteration
Meaning: Improving the AI’s output by giving follow‑up instructions.
Example: “Shorter.” “More formal.” “Rewrite for a beginner.”
6. Context
Meaning: Background information that helps the AI understand what you want.
Example: “This email is for a long‑time client who prefers short messages.”
7. Use Case
Meaning: A specific task you use AI for.
Example: Summarizing meetings, writing emails, and generating ideas.
8. Output
Meaning: The response the AI gives you.
Example: The email or summary the AI produces after your prompt.
9. Token
Meaning: A small chunk of text the AI uses to process language.
Example: “Hello” might be one token; longer words may be several.
10. Training Data
Meaning: The text an AI model learned from.
Example: Books, articles, websites, and other publicly available texts.
11. Models
Meaning: The specific version of an AI system you’re using.
Example: ChatGPT 4, Claude 3, Gemini Advanced, Copilot.
12. Hallucination
Meaning: When an AI confidently gives an incorrect or made‑up answer.
Example: It invents a statistic that doesn’t exist.
13. Reasoning
Meaning: The AI’s ability to analyze information and solve problems.
Example: “Compare these two job candidates and explain who is a better fit.”
14. System Prompt
Meaning: A behind‑the‑scenes instruction that shapes the AI’s behavior.
Example: “You are a helpful assistant.”
15. Tool / Integration
Meaning: A feature that lets AI interact with other apps.
Example: Uploading a PDF for the AI to summarize.
16. Model Switching
Meaning: Choosing a different AI model depending on the task.
Example: Using Claude for long text and ChatGPT for creative writing.
17. Guardrails
Meaning: Safety rules built into AI tools.
Example: The AI refuses to generate harmful or inappropriate content.
18. Temperature
Meaning: A setting that controls how creative or predictable the AI is.
Example:
- Low temperature → factual email
- High temperature → creative brainstorming
(Some tools hide this setting, so you may never see it.)
19. Embedding
Meaning: A way AI converts text into numbers so it can compare meaning.
Example: Used in features like “find similar documents.”
20. Fine‑Tuning
Meaning: Training an AI model on your own examples.
Example: A company fine‑tunes a model to write in their brand voice.
21. Knowledge Base
Meaning: A collection of documents that the AI can reference to give more accurate answers.
Examples:
- Uploading a PDF onboarding guide so the AI can answer questions about your process.
- Providing a folder of blog posts so the AI can match your writing style.
22. Thread / Conversation History
Meaning: The ongoing chat context that the AI uses to understand your instructions.
Example: If you say “shorter,” the AI knows you’re referring to the previous output.
23. Reset / New Chat
Meaning: Starting a fresh conversation so the AI doesn’t rely on previous context.
Example: When the AI starts drifting or misunderstanding your instructions.
24. Agent
Meaning: A more advanced AI system that can take multiple steps or use tools autonomously.
Example: An AI that can research, summarize, and draft a report without you prompting each step.
Explore More AI Resources:
- Workflows - Step‑by‑step guides to help you use AI for real tasks
- Tool Spotlights - Clear, beginner‑friendly overviews of popular AI tools
- AI Basics - A simple introduction to how AI works and how to use it
- AI Resource Library - Browse all free guides, workflows, and tools