Here's a more concise version of the LLM Evaluation Integration Guide, incorporating Parea as the default evaluation provider:
LLM Evaluation Integration Guide
This guide provides an overview of integrating LLM evaluation using DeepEval and Parea. DeepEval is an open-source framework for evaluating LLM applications, while Parea is a platform and SDK for AI engineers that provides tools for LLM evaluation, observability, and prompt playgrounds.
Key Features
- DeepEval offers LLM evaluation metrics and bulk evaluation of datasets.
- Parea provides debugging, testing, evaluating, and monitoring tools for LLM applications.
- Parea is the default evaluation provider, with DeepEval as an alternative.
Integrations
Parea and DeepEval are integrated with deployed applications. Set the sampling rate in config.json.
QuickStart
- Install Parea (default) or DeepEval using pip.
- Set your OPENAI_API_KEY as an environment variable.
- Write and run your test case.
For more information, refer to the Parea GitHub (opens in a new tab) and DeepEval Documentation (opens in a new tab).
Summary
Parea and DeepEval provide solutions for evaluating and monitoring LLM applications, helping developers make informed decisions to improve performance.