Glossary

Technical terms, in plain English

Short definitions for the language that appears in vendor pitches, workflow plans, and implementation calls, written for operators who need to make a decision

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A C E F H L P R V

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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