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Explain BLEU, ROUGE, and BERTScore. When would you use each, and what are their limits?

The classic automatic metrics for generated text. Interviewers want you to match each to its task and name the blind spot they all share. The candidates who pass say why none of them is the final word on quality.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

The classic automatic metrics for generated text. Interviewers want you to match each to its task and name the blind spot they all share. The candidates who pass say why none of them is the final word on quality.

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Next in this trackWhat are MMLU, HumanEval, and GSM8K, and how do you interpret LLM benchmark scores?Next in this trackHow do you prepare a dataset to fine-tune an LLM, and why does data quality dominate?Next in this trackHow and when do you use synthetic data (LLM-generated) for training or fine-tuning?
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