AI models and agents

Model temperature

Also known as: temperature

A parameter affecting random selection of subsequent response elements in models that expose it.

A practical example

A team adjusts settings for a task requiring a repeatable format.

What should I know?

Low temperature does not guarantee truth or identical answers.

AI models and agents in practice

A model processes information; the application defines tools and permissions. Reliable answers require good sources and verification. Actions involving accounts, content, and orders must stay within the granted scope.

Related Semly features

See where this concept applies when working with Semly.

Semly MCPConnect Semly data and tools to your AI assistant. Analyze reports and work with Leon in a conversation.Websites for AI agentsShare structured company knowledge and inquiry forms through an agent channel.

Related terms

LLMA large language model trained to process and generate text. Some models also support other data types.AI hallucinationGenerating information that is false or unsupported by available material despite sounding convincing.AI evaluationTesting system quality against tasks and criteria matching its intended use.

Documentation and further reading

Definition prepared by Semly. Standards and behavior are described by their creators:

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