^{Last Update: April 23, 2025}

Playground

Introduction

Users can converse with supported chat models and models they have trained and deployed in a chat-style interface. Customize the behavior of the model using system prompts.

The playground provides a user-friendly interface for testing and experimenting with your models.

If a user would like to compare one model with another, they can select Compare Side-by-Side. Select the two models and evaluate the difference in answers!

Parameters

The playground allows you to configure several parameters that control the model's behavior:

• System Prompt: Sets the initial context and instructions for the model, defining its role, behavior, and specific guidelines to follow.
• Max Tokens: Controls the maximum length of the model's response. Higher values allow for longer responses, while lower values keep responses concise.
• Temperature: A value between 0 and 1 that controls response randomness. Lower values (near 0) produce more focused, deterministic responses, while higher values (near 1) produce more creative, diverse outputs.
• Presence Penalty: Influences the model's tendency to introduce new topics. Higher values encourage the model to cover new concepts rather than dwelling on previously mentioned information.
• Repetition Penalty: Controls how strongly the model avoids repeating words or phrases. Higher values reduce the likelihood of repeated language patterns.

These parameters can be adjusted in real-time to adjust the model's behavior for your specific use case.