How do you balance speed and accuracy in LLM evaluations?

Balancing speed and accuracy in LLM evaluations involves a strategic approach where both quantitative metrics and qualitative assessments are taken into consideration. Evaluators may employ automated metrics that provide quick feedback on model performance, such as BLEU or ROUGE, alongside more time-consuming human evaluations that yield richer insights. Furthermore, employing sampling techniques can optimize evaluation speed without compromising accuracy by focusing on a representative subset of outputs. Ultimately, a hybrid evaluation strategy that combines automated methods for preliminary assessments with human review for critical insights can help strike this balance effectively.