OpenAI Evals
A framework and open-source registry for evaluating large language models (LLMs) and LLM systems.
What is OpenAI Evals?
OpenAI Evals is a framework and open-source registry for evaluating large language models (LLMs) and LLM-based systems. It provides tools to run existing benchmarks and create custom evaluations, helping developers assess model performance and understand how different versions affect their specific use cases. The framework supports both public benchmarks and private evaluations using proprietary data.
AI researchers, machine learning engineers, and developers building applications with LLMs who need to systematically evaluate model performance, compare versions, or create custom benchmarks for their workflows.
Developers choose OpenAI Evals because it offers a standardized, extensible framework from OpenAI itself, integrates directly with the OpenAI API, and provides a registry of vetted benchmarks alongside tools for creating private, data-secure evaluations without extensive coding.
Overview
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Use Cases
Best For
- Comparing performance between different LLM versions or models
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