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Plain-language AI glossary

Term 16FundamentalsMeaning / context / connections

Fundamentals / Definition

Temperature

A parameter that controls the randomness of AI model outputs, with lower values producing more deterministic responses and higher values producing more creative ones.

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01

MeaningThe one-sentence definition.

02

ContextHow the idea works in practice.

03

UsesWhere the concept becomes useful.

01 / Plain-language context

How Temperature works.

Temperature changes how probability is distributed across possible next tokens. Lower values usually make outputs more repeatable, while higher values create more variation. The supported range and behavior differ across providers and models, and some reasoning models do not expose this setting. Treat temperature as one evaluation variable rather than a universal creativity dial.

02 / Practical uses

Where it helps.

  1. 01Controlling output consistency
  2. 02Creative content generation
  3. 03Factual question answering
  4. 04A/B testing output quality
03 / Keep exploring
Large Language Model (LLM)A neural network trained on massive text datasets that can generate, understand, and reason about human language.Prompt EngineeringThe practice of crafting effective instructions for AI models to produce desired outputs consistently.InferenceThe process of running a trained AI model to generate predictions or outputs from new inputs, as opposed to training the model.