LLM Evaluation Guidebook
The LLM Evaluation Guidebook, managed by Hugging Face, provides comprehensive insights into the evaluation of Large Language Models (LLMs). This guide is a rich resource designed for both beginners and advanced users in the field of machine learning and natural language processing.
Key Features
- Practical Insights: Learn from experiences gathered while managing the Open LLM Leaderboard and designing lighteval.
- Diverse Evaluation Methods: Explore various ways to evaluate LLM performance, including automatic benchmarks and human evaluations.
- Hands-On Examples: Access Jupyter notebooks for practical learning and hands-on experience in LLM evaluations.
- Community Feedback: Continuous enhancement of the guide based on community feedback and discussions.
Benefits
- Accessible for All Levels: Whether you're a beginner or an expert, the guide provides tailored sections to enhance your understanding of LLM evaluations.
- Comprehensive Resource: Covers a wide range of topics from general knowledge to specific tips and tricks for designing evaluations.
- Engagement with Latest Discussions: Incorporates valuable feedback and insights from the machine learning community, keeping the guide relevant and updated.
Highlights
- Designed for production models and experimental research.
- Encourages community interaction with options for suggestions and feedback.
- Emphasis on ethical practices and methodologies in LLM evaluations.
