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๐Ÿ“š The AI glossary: 15 terms everyone should know

6 min read ยท Updated 2026-09-13

The core terms

  • AI (Artificial Intelligence) โ€” software that learns patterns from examples.
  • LLM (Large Language Model) โ€” the 'next-word predictor' behind chatbots like ChatGPT.
  • Prompt โ€” the instruction you give an AI.
  • Hallucination โ€” when AI confidently states something false.
  • Neural network โ€” a pattern-spotting machine inspired (loosely) by the brain.

The terms you'll hear constantly

  • Generative AI โ€” AI that creates new text, images, or code.
  • Token โ€” a chunk of text a model reads (about ยพ of a word).
  • Fine-tuning โ€” teaching a model your specific style with extra examples.
  • Training โ€” the process of showing a model examples so it learns patterns.
  • Context window โ€” how much of your conversation the model can 'see' at once.

The ones that sound scary but aren't

  • AGI (Artificial General Intelligence) โ€” a hypothetical AI that thinks like a human. Doesn't exist yet.
  • Alignment โ€” the research field of making AI do what we actually want.
  • Training data โ€” the text/images a model learned from. Garbage in, garbage out.

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