Artificial Intelligence Glossary

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Artificial Intelligence (AI)

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Technology that mimics human intelligence—like recognizing patterns, understanding language, or making decisions.

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Model

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A computer program trained to make decisions or perform specific tasks based on data.

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Large Language Model (LLM)

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A type of AI trained on large amounts of text so it can generate new writing, summarize, or answer questions.

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Hallucination

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When an AI generates false or made-up information that sounds believable.

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Bias

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When AI gives unfair or limited results because the training data wasn’t diverse or balanced.

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Embedding

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A list of numbers that represents a word’s meaning so the AI can measure how similar words are.

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Neural Network

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A system of connected “nodes” (like brain cells) that learns patterns and relationships.

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Attention

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A process that helps AI focus on the most important words or parts of data in context.

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Tokens

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The small chunks of text AI reads—words, parts of words, or punctuation.

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Pretraining

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The first phase where AI learns general patterns from huge text datasets before fine-tuning.