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llm-evaluation-guide

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Evaluate and benchmark large language models for research applications

skills/domains/ai-ml/llm-evaluation-guide/SKILL.md

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# LLM Evaluation Guide

A skill for evaluating and benchmarking large language models (LLMs) in research settings. Covers automatic metrics, human evaluation protocols, benchmark suites, evaluation pitfalls, and best practices for reporting LLM performance.

## Evaluation Taxonomy

### Types of Evaluation

```
1. Intrinsic evaluation:
   Measures model quality on its own terms
   - Perplexity, likelihood, calibration
   - Useful for comparing architectures and training procedures
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