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athina-ai/athina-evals

⭐ 303 Python repository created 2023-11-22

Athina-evals is an open-source Python SDK designed for evaluating the quality and performance of Large Language Model (LLM) generated responses. It provides a comprehensive suite of over 50 preset evaluation metrics and also supports the creation of custom evaluation logic, allowing users to tailor assessments to their specific needs. This SDK is a core component of the Athina Observability and Experimentation platform for AI teams. It facilitates programmatic execution of LLM evaluations, enabling developers to integrate assessments directly into their development workflows. Beyond programmatic use, the SDK seamlessly integrates with the Athina IDE, a web-based environment where users can visualize evaluation results, prototype LLM pipelines, run various experiments, and perform side-by-side comparisons of different datasets. This integration helps in identifying performance regressions, understanding model behavior, and making data-driven decisions during the development and deployment of LLM applications. The tool focuses specifically on the post-inference evaluation of LLMs, making it a critical asset for ensuring the reliability and effectiveness of AI agents and LLM-powered systems in production environments.

https://github.com/athina-ai/athina-evals

evaluationevaluation-frameworkevaluation-metricsllm-evalllm-evaluationllm-evaluation-toolkitllm-opsllmops

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