🤖 AI glossary

The AI glossary for creators

Use this AI glossary to understand the tools and technology shaping the creator economy. No jargon, no fluff. Just tap a term to get a clear definition and keep building.

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AI terms explained

A

💡 AI concepts

AI agent

An AI agent is an autonomous system that can plan, reason, and take actions to complete multi-step tasks on your behalf without constant human input.

F

🧪 AI techniques

Fine-tuning

Fine-tuning is the process of further training a pre-built AI model on your own data to customize its output style, tone, or knowledge for a specific use case.

G

🤖 AI models

Generative AI

Generative AI is artificial intelligence that creates new content like text, images, video, audio, and code, powering tools like ChatGPT, Midjourney, and Runway.

L

🤖 AI models

Large language model (LLM)

A large language model (LLM) is a type of AI trained on massive amounts of text that can understand and generate human language, powering tools like ChatGPT, Claude, and Gemini.

N

⚡ Automation

No-code automation

No-code automation is the practice of building automated workflows that connect different apps and services without writing any code, using tools like Zapier, Make, and n8n.

P

🧪 AI techniques

Prompt engineering

Prompt engineering is the practice of crafting effective inputs for AI models to get better, more relevant, and more useful outputs.

R

🧪 AI techniques

Retrieval-augmented generation (RAG)

Retrieval-augmented generation (RAG) is a technique that enhances AI responses by first retrieving relevant information from a knowledge base before generating an answer.

T

💡 AI concepts

Tokens

Tokens are the basic units of text that AI language models process, where each token represents a word, part of a word, or a punctuation mark.

❓ FAQs

FAQs about the top AI terms

Find answers to common questions about our AI glossary, how terms are selected, and how to use this resource.

An AI glossary is a reference guide that defines key artificial intelligence terms and concepts in plain language. This glossary is built specifically for creators, entrepreneurs, and marketers who use AI tools in their work but don't need PhD-level explanations.

AI is changing how content is created, marketed, and monetized. Understanding terms like LLM, RAG, prompt engineering, and fine-tuning helps you choose better tools, write better prompts, and make smarter decisions about which AI products to invest in.

We focus on terms that directly impact creator workflows. Every term in this glossary is something you'll encounter when using AI tools for content creation, marketing, or business automation. We skip obscure research terms that don't apply to real-world creator use cases.

The glossary is curated by Navid Moazzez, founder of Creator School. Definitions are reviewed for accuracy and written to be practical, not academic.

The AI space moves fast. We add new terms and update existing definitions regularly as new tools, techniques, and concepts emerge. If you notice a term that needs updating, let us know via the contact page.

Yes. Submit suggestions through our contact page. We review every submission and add terms that are relevant to creators working with AI.

Technical AI dictionaries are written for researchers and engineers. This glossary is written for people who use AI tools every day to create content, grow audiences, and run businesses. Every definition includes practical context for creators.

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