AI Response Evaluation Projects (AI-generated response quality review)
Evaluated AI-generated responses using structured rubrics to assess response quality. Identified factual errors, safety concerns, and instruction-following issues against given criteria. Compared multiple responses and documented quality differences to support model improvement efforts. • Used rubric-based scoring to judge accuracy, relevance, and safety • Performed fact-checking and identified hallucinations or inconsistencies • Reviewed outputs for adherence to prompts and instructions • Produced clear written feedback to improve downstream model performance