ragaAI (eval)
Shares tags: build, observability & guardrails, evaluation
Seamlessly integrate model evaluations into your workflow with powerful observability and guardrails.
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overview
OpenAI Evals is a comprehensive framework designed for evaluating machine learning models effectively. By integrating seamlessly into the OpenAI Dashboard, it allows developers and researchers to manage evaluations without leaving their primary workspace.
features
OpenAI Evals offers a host of features that empower users to maintain high standards in their model evaluations. With a focus on flexibility and ease of use, you can adapt it to suit your specific needs.
use_cases
OpenAI Evals is designed for various users, particularly AI developers and organizations that need robust evaluation tools. Its flexibility makes it applicable to many scenarios in model development and quality assurance.
OpenAI Evals supports both community-provided and custom, private evaluations, allowing flexibility for varied use cases.
Integration is straightforward as OpenAI Evals is embedded within the OpenAI Dashboard, enabling seamless configuration and execution.
The healthcare benchmarks, like HealthBench, evaluate models on a comprehensive set of 48,000+ rubric criteria to ensure rigorous and scalable assessments.