NatashaTheRobot

NatashaTheRobot

Share this post

NatashaTheRobot
NatashaTheRobot
Balancing Creativity and Consistency: How Temperature Shapes LLM Responses

Balancing Creativity and Consistency: How Temperature Shapes LLM Responses

Explore how temperature influences the behavior of Large Language Models (LLMs) - control the balance between creative, diverse outputs and consistent, reliable responses

NatashaTheRobot's avatar
NatashaTheRobot
Feb 03, 2025
∙ Paid

Share this post

NatashaTheRobot
NatashaTheRobot
Balancing Creativity and Consistency: How Temperature Shapes LLM Responses
Share

If you’ve ever used apps or APIs like ChatGPT, Claude, or DeepSeek, it might seem like there’s just one ‘perfect’ answer generated for your query. However, Large Language Models (LLMs) don’t work in such a deterministic way.

Important Background: How LLMs Work

Instead, they generate outputs by predicting the next word—or more precisely, tokens, which are…

This post is for paid subscribers

Already a paid subscriber? Sign in
© 2025 NatashaTheRobot, Inc
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share