LLM Evaluation Metrics (BLEU, ROUGE, Perplexity)

Summary

Automated metrics for scoring generated text against references — useful as a fast signal but each has real blind spots that make purely automated evaluation insufficient alone.

How to Learn This

1Compute BLEU/ROUGE scores for a small set of generated outputs against references.
2Learn what each metric actually measures (n-gram overlap) and what it misses (meaning, fluency).
3Understand why perplexity measures a model's confidence, not correctness.

End-to-End ML Pipeline

Human Evaluation & LLM-as-Judge

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