LLM Evaluation

Evaluate Large Language Model (LLM) systems using automated metrics, LLM-as-judge patterns, and standardized benchmarks to ensure production quality and safety.

When to Use This Skill

Apply this skill when:

• Testing individual prompts for correctness and formatting
• Validating RAG (Retrieval-Augmented Generation) pipeline quality
• Measuring hallucinations, bias, or toxicity in LLM outputs
• Comparing different models or prompt configurations (A/B testing)
• Running benchmark tests (MMLU, HumanEval) to assess model capabilities
• Setting up production monitoring for LLM applications
• Integrating LLM quality checks into CI/CD pipelines