AI Evaluation

Purpose: Systematically measure and validate AI/ML model quality across accuracy, safety, and reliability dimensions.

When to Use This Skill

• Designing evaluation frameworks for LLM-based applications
• Implementing automated evaluation pipelines (CI/CD for AI)
• Measuring RAG pipeline quality (retrieval + generation)
• Running benchmarks for model selection or fine-tuning validation
• Establishing quality gates before model deployment
• Evaluating safety, bias, and alignment properties

Prerequisites