AI Response Evaluation & Quality Review Project
Reviewed and compared AI-generated responses for relevance, factual accuracy, clarity, grammar, and instruction-following quality. Ranked multiple outputs based on predefined guidelines, identified errors, and suggested improvements to enhance model performance and training data quality.