How can we assess the quality of AI responses?

How can we assess the quality of AI responses?

To assess AI response quality, we can consider factors like relevance, coherence, accuracy, and user satisfaction.

What metrics can be used to measure these factors?

Common metrics include BLEU scores for language quality, user feedback ratings, and task completion rates.

Can you explain BLEU scores in more detail?

BLEU scores compare the AI's output to reference responses, measuring how many words and phrases match.

Are there any limitations to using BLEU scores?

Yes, BLEU scores may not capture semantic meaning or context, so they should be used alongside other metrics.