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alopatenko/LLMEvaluation
FULL GUIDE TO LLM EVALUATION
LLMEvaluation provides a full guide to LLM evaluation methods aiding selection of optimal techniques for specific use-cases. It contains a metrics taxonomy, step‑by‑step guides, ready‑to‑use code templates, and a best‑practices checklist.
// KEY FEATURES
- Taxonomy of over 30 LLM evaluation metrics, detailing their key strengths and weaknesses.
- Step-by-step guides for choosing metrics based on task: text generation, code, dialogue.
- Ready-to Python code templates for running benchmarks onMMLU, HellaSwag, AlpacaEval.
- Checklist of practices and common mistakes in evaluation, helping avoid pitfalls.
#evaluation#generative-ai-benchmarking#llm#llm-benchmarking#llm-evaluation
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