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    1 min read 5 stepsMarch 28, 2026Verified March 2026

    AI Glossary: 50 Terms Everyone Should Know

    A plain-English dictionary of AI terminology — from algorithms to zero-shot learning.

    At a Glance

    Category
    AI Guides
    Difficulty
    Beginner
    Read Time
    1 min read
    Steps
    5
    Topics covered
    reference
    glossary
    terminology
    education

    In this guide (5 steps):

    1. 1.Foundation terms
    2. 2.Model terms
    3. 3.Technique terms
    4. 4.Safety terms
    5. 5.Industry terms
    1

    Foundation terms

    ~15s
    AI (artificial intelligence), ML (machine learning), LLM (large language model), NLP (natural language processing), Neural network — these are the building blocks of AI conversations.
    2

    Model terms

    ~15s
    Parameters (model size), tokens (text chunks), context window (memory limit), temperature (creativity control), fine-tuning (customization).
    3

    Technique terms

    ~15s
    RAG (retrieval-augmented generation), embeddings (meaning as numbers), prompt engineering (crafting inputs), chain-of-thought (step-by-step reasoning).
    4

    Safety terms

    ~15s
    Hallucination (false output), alignment (matching human values), guardrails (safety limits), red-teaming (adversarial testing), bias (unfair patterns).
    5

    Industry terms

    ~15s
    AGI (artificial general intelligence), inference (running a model), training (teaching a model), edge AI (on-device processing), synthetic data (AI-generated training data).

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