Knowledge hub · 12 items

AI Glossary

Definitions of every AI term, concept, and acronym.

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Alignment

Making a model's behavior match human intent and values.

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Fine-tuning

Further training a pretrained model on a smaller, specific dataset.

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Context window

How much text a model can consider at once.

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Inference

Running a trained model to get predictions.

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Transformer

The neural network architecture behind most modern language models.

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Quantization

Shrinking a model by storing its weights at lower precision.

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Diffusion

Generating data by gradually removing noise, step by step.

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Embedding

A list of numbers that represents meaning, so similar things sit close together.

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Hallucination

When a model states something fluent but false.

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Token

A chunk of text (often a word-piece) that a model reads and predicts.

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Attention

A mechanism that lets a model weigh which parts of the input matter most for each output.

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RLHF

Reinforcement learning from human feedback — tuning a model toward preferred answers.

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