AI Glossary

AI terms,
in plain English.

No jargon, no fluff. Just clear explanations of the terms you need to understand.

AI Agents

AI systems that can take actions autonomously. Browsing the web, running code, using tools, and completing multi-step tasks without step-by-step human guidance.

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AI Tokens

The chunks of text that AI models process. Roughly 3/4 of a word each. Tokens determine how much you can input and how much responses cost.

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Context Window

The maximum amount of text an AI model can process at one time.

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Embeddings

A way to convert text into numbers so AI can understand meaning and find similar content. The invisible backbone of AI search and recommendations.

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Fine-tuning

Customizing a pre-trained AI model for specific tasks or domains.

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Hallucination

When AI generates false or inaccurate information that appears realistic

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Large Language Model

AI systems trained on vast text data to understand and generate human-like text

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Prompt Engineering

The practice of crafting effective instructions for AI systems to get better results.

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Retrieval-Augmented Generation (RAG)

A technique that gives AI access to your specific data by retrieving relevant information before generating a response.

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Vibe Coding

Building software by describing what you want to an AI in plain English, rather than writing code manually.

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AI terms,in plain English.

AI Agents

AI Tokens

Context Window

Embeddings

Fine-tuning

Hallucination

Large Language Model

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Vibe Coding

AI terms,
in plain English.