<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Temperature on Signal &amp; Syntax</title><link>https://signal-and-syntax.com/tags/temperature/</link><description>Recent content in Temperature on Signal &amp; Syntax</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 24 Dec 2025 12:00:00 -0800</lastBuildDate><atom:link href="https://signal-and-syntax.com/tags/temperature/index.xml" rel="self" type="application/rss+xml"/><item><title>Temperature and Top-P: The Creativity Knobs</title><link>https://signal-and-syntax.com/posts/temperature-top-p-creativity-knobs/</link><pubDate>Wed, 24 Dec 2025 12:00:00 -0800</pubDate><guid>https://signal-and-syntax.com/posts/temperature-top-p-creativity-knobs/</guid><description>Every API call to ChatGPT , Claude , or any other LLM includes two parameters most people either ignore or tweak randomly: temperature and top-p. The defaults work fine for casual use, so why bother understanding them? Because these two numbers fundamentally control how your model thinks.
The temperature value determines whether the model plays it safe or takes creative risks while the top-p value decides how many options the model even considers.</description></item></channel></rss>