A GitHub repository containing an LLM evaluation guidebook with practical and theoretical insights, primarily as a Jupyter Notebook-based resource. It notes deprecation and a newer version lives elsewhere.
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What it is
"The LLM Evaluation guidebook ⚖️" provides guidance on evaluating LLMs, covering how to evaluate models, how to design evaluations, and practical tips from experience. It references basic, design, datasets, and tips sections across automated benchmarks, human evaluation, LLM-as-a-judge, and troubleshooting topics.
How it works
The guidebook is organized into topics such as Automated benchmarks, Human evaluation, LLM-as-a-judge, Troubleshooting, and General knowledge, with links to markdown chapters and yearly dives. It aggregates resources, tips, and design considerations for evaluation workflows. The README notes that it is no longer maintained and points to a newer version hosted at a Hugging Face Spaces URL.
Getting started
Commands are not provided in the truncated README excerpt. The README includes a note that the latest and most up-to-date version lives at a different location: https://huggingface.co/spaces/OpenEvals/evaluation-guidebook. It also encourages opening issues for ameliorations or missing resources. No installation or setup commands are shown in the provided text.
Recent releases
RELEASES (latest 0): - none
Traction
Stars: 2134. Forks: 124. Open issues: 5.
Behind the repo
Not applicable from provided content.
Caveats
License: none listed. Created: 2024-10-09. Last push: 2025-12-03. Language: Jupyter Notebook. Description indicates this guidebook is no longer maintained and a newer version exists elsewhere.