29 LLM Evaluation Concepts Every Engineer Needs to Know
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A comprehensive guide to LLM evaluation for software engineers building real applications. Covers 29 core concepts including the three fundamental problems (non-determinism, fuzzy correctness, silent regressions), evaluation primitives (criteria, rubrics, golden sets, pass/fail thresholds), scoring methods (human eval, heuristics, semantic similarity, LLM-as-judge), RAG-specific evaluation using the RAG triad (faithfulness, answer relevance, context precision), offline vs online evaluation strategies, benchmark limitations, common anti-patterns like Goodhart's Law and vibe-based evaluation, and a practical 5-layer eval stack with a 3-step MVP to get started.
