---
title: "Temperature"
description: "In the context of Generative AI, \"Temperature\" refers to a parameter in the probability distribution
function used during the generation process. It controls the randomness of predictions by scaling the logits
before applying softmax. A high temperature value results in more random outputs, while a low temperature
value makes the model's outputs more deterministic and similar to the training data. It's a crucial factor
in balancing between diversity and quality of generated content."
canonical_url: "https://promptmetheus.com/resources/llm-knowledge-base/temperature"
---

> Index of every page on this site: [llms.txt](https://promptmetheus.com/llms.txt)

In the context of [Generative AI](https://promptmetheus.com/resources/llm-knowledge-base/generative-ai), "Temperature" refers to a parameter in the probability distribution
function used during the generation process. It controls the randomness of predictions by scaling the logits
before applying softmax. A high temperature value results in more random outputs, while a low temperature
value makes the model's outputs more deterministic and similar to the training data. It's a crucial factor
in balancing between diversity and quality of generated content.

In an analog to human cogitation one could compare the temperature value to the level of creativity,
where a high temperature value would result in more creative outputs, while a low temperature value would
result in more objective outputs.

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