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AI Terms & Myths

A practitioner's reference for AI/ML terminology and the misconceptions that won't die.


What This Is

Two reference documents for engineers, product managers, and technical leaders navigating the AI landscape:

Document What's Inside
Glossary 80+ AI/ML terms defined with precision and practical context
Myths Busted 20+ common misconceptions debunked with evidence and consequences

Every entry follows a strict format. Glossary terms are self-contained 3–6 sentence definitions. Myths include a Reality section with named papers, models, or techniques — and a Why it matters section that connects to decisions you actually make.


How to Use

Browse the Glossary or Myths Busted directly, or use the search bar at the top to find any term or misconception instantly.


Contributing

This is an open reference. Contributions go through an issue-first workflow — see the Contributing guide for criteria and process.


Why This Is Different

  • No filler — banned words include "leverage", "unlock", "seamlessly", "robust", and "empower"
  • Practitioner-first — every entry is written for people building systems, not writing papers
  • Evidence-backed — myths cite specific papers, models, and techniques by name

Built for the people who need to know what the words actually mean before they ship.