Test LLM Temperature Settings
A promptfoo workflow that evaluates GPT-4o model behavior across different temperature settings.
Why it matters
Evaluate the impact of different temperature settings on LLM output quality and consistency. This asset helps developers ensure their AI applications produce reliable and predictable results.
Outcomes
What it gets done
Define test cases for LLM responses.
Execute prompts with varying temperature parameters.
Compare and analyze the output variations.
Identify optimal temperature settings for specific use cases.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-compare-gpt-temperature | bash Steps
Steps in the chain
Overview
Compare Gpt Temperature
This prompt chain compares GPT-4o model outputs across multiple temperature settings using promptfoo's evaluation framework. Use this workflow when you need to compare GPT-4o outputs across different temperature settings and observe how temperature parameters affect model responses in your specific use case.
What it does
This prompt chain compares GPT-4o model outputs across multiple temperature settings using promptfoo's evaluation framework. It runs identical prompts through different temperature configurations and displays the results for side-by-side comparison.
When to use - and when NOT to
Use this workflow when you need to compare GPT-4o outputs across different temperature settings. It's useful when you want to observe how temperature parameters affect model responses in your specific use case.
Do not use this if you're working with models other than GPT-4o without adapting the configuration accordingly.
Inputs and outputs
You provide an OpenAI API key via the OPENAI_API_KEY environment variable and define your test prompts and temperature ranges in the promptfooconfig.yaml file. The workflow executes your prompts across each temperature setting and generates an evaluation report.
You receive evaluation results accessible through promptfoo's viewer interface, allowing you to compare responses across different temperature values.
How to use it
Initialize the example workflow:
npx promptfoo@latest init --example compare-gpt-temperature
cd compare-gpt-temperature
Set your OpenAI API key as an environment variable, then edit the promptfooconfig.yaml file to customize your test prompts and temperature values.
Run the evaluation:
promptfoo eval
After the evaluation completes, launch the results viewer by running promptfoo view to explore the temperature comparison data.
Integrations
This workflow integrates with OpenAI's API to access GPT-4o models and requires a valid API key for execution. It uses promptfoo's evaluation framework for orchestrating tests and rendering results.
Who it's for
This workflow is designed for developers working with GPT-4o who want to compare model outputs across different temperature settings.
Source README
compare-gpt-temperature (Gpt 4o Temperature Comparison)
You can run this example with:
npx promptfoo@latest init --example compare-gpt-temperature
cd compare-gpt-temperature
Usage
To get started, set the OPENAI_API_KEY environment variable.
Next, edit promptfooconfig.yaml.
Then run:
promptfoo eval
Afterwards, you can view the results by running promptfoo view
FAQ
Common questions
Discussion
Questions & comments · 0
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