Technology
Evals
Evals is OpenAI's open-source framework: systematically benchmark Large Language Models (LLMs) and LLM-powered systems for performance, accuracy, and stability.
This is OpenAI's open-source framework for rigorous LLM evaluation, providing a structured, reproducible method to test models like GPT-4 against specific criteria (accuracy, reasoning, instruction-following). The platform includes a public registry of benchmarks and allows developers to create custom evals: use proprietary data to match application needs without public exposure. Evals is essential for continuous quality assurance (QA), catching regressions, and ensuring stability before any production deployment.
What builders pair with Evals
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: LLMs
Using LLMs for finetuning humans to recognize art
Pairing: Benchmark dataset
Agentic AI Evaluation
Pairing: BERT
Using LLMs for finetuning humans to recognize art
Pairing: Claude
Using LLMs for finetuning humans to recognize art
Pairing: CLI
A new CLI/Library for evals
Pairing: datasets
A new CLI/Library for evals
Recent Talks & Demos
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