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Evaluation & Testing of LLM Outputs

15 lessons in AI Engineering / Working with LLMs

  • Evaluating RAG QualitySlides / Video
  • Evaluating RAG QualityQuiz
  • Evaluating RAG QualityFlashcard
  • Human Evaluation and AnnotationFlashcard
  • Inter-Annotator AgreementFlashcard
  • Reference-Based vs Reference-FreeFlashcard
  • Why LLM Evaluation Is HardFlashcard
  • Rubric-Based ScoringFlashcard
  • Pairwise vs Pointwise JudgingFlashcard
  • Assertion-Based Unit Testing of OutputsFlashcard
  • LLM-as-a-Judge EvaluationFlashcard
  • Semantic Similarity via EmbeddingsFlashcard
  • Exact Match and String MatchingFlashcard
  • Building a Golden Evaluation SetFlashcard
  • Overlap Metrics: BLEU, ROUGE, METEORFlashcard
</>SkillRecallRECALL WHAT YOU KNOW

Stay sharp, validate what you know, and explain it clearly — across software engineering, cloud & DevOps, AI, data, security, system design, testing & QA, mobile, UI/UX, and product & project management.

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