Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
Learn how to evaluate large language models effectively with practical tips and guidance for your specific tasks.
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Free · no card · unsubscribe anytimeSharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
evaluation-guidebook has 2.1k stars on GitHub. It has been forked 126 times. evaluation-guidebook is written mainly in Jupyter Notebook. It has been in active development since 2024. Its main topics are evaluation, evaluation-metrics, guidebook, large-language-models.
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
evaluation-guidebook is an open-source project.
Yes. evaluation-guidebook is free and open source — you can use, modify and self-host it.
evaluation-guidebook is written mainly in Jupyter Notebook.
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