huggingface/evaluation-guidebook
A comprehensive guidebook on evaluating large language models, covering automatic benchmarks, evaluation design, and practical tips from the Open LLM Leaderboard.
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This repository provides practical insights and theoretical knowledge for evaluating LLMs. It covers automatic benchmarks, designing custom evaluations, and troubleshooting common issues. The guide targets users ranging from beginners to advanced practitioners, drawing from experience managing the Open LLM Leaderboard and developing the lighteval evaluation framework.
Frequently asked
- What is huggingface/evaluation-guidebook?
- A comprehensive guidebook on evaluating large language models, covering automatic benchmarks, evaluation design, and practical tips from the Open LLM Leaderboard.
- Is evaluation-guidebook open source?
- Yes — huggingface/evaluation-guidebook is an open-source project tracked on heatdrop.
- What language is evaluation-guidebook written in?
- huggingface/evaluation-guidebook is primarily written in Jupyter Notebook.
- How popular is evaluation-guidebook?
- huggingface/evaluation-guidebook has 2.1k stars on GitHub.
- Where can I find evaluation-guidebook?
- huggingface/evaluation-guidebook is on GitHub at https://github.com/huggingface/evaluation-guidebook.