If you're into creating and fine-tuning Large Language Models (LLMs), you know how challenging and time-consuming it can be to measure their quality improvements and detect regressions. Luckily, there's a new AI-powered tool called promptfoo that takes the hassle out of this process, allowing you to iterate on LLMs faster and more efficiently.
Using promptfoo is as simple as 1-2-3. Here's a quick breakdown of how this tool operates:
Create a list of test cases: Gather a representative sample of user inputs to help reduce subjectivity when fine-tuning prompts.
Set up evaluation metrics: Utilize built-in metrics, LLM-graded evaluations, or define your own custom metrics to ensure accurate assessments.
Select the best prompt & model: Compare prompts and model outputs side-by-side, or seamlessly integrate the promptfoo library into your existing test/CI workflow.
The flexibility of promptfoo allows you to mold it into your existing workflow seamlessly. Whether you prefer using the web viewer or the command line, promptfoo has got you covered.
The tool is already trusted by LLM apps serving over 10 million users, proving its reliability and efficiency in the real world.
There you have it! With promptfoo, you can harness the power of AI to streamline the process of measuring LLM quality improvements and catching regressions. So, if you're in the business of creating or fine-tuning Large Language Models, promptfoo might just be the next best tool in your arsenal.