AI Testing Practice
Evaluated AI responses for accuracy and relevance based on structured guidelines. Compared different outputs and selected the best using logical reasoning. Identified logical errors, inconsistencies, and provided feedback to improve AI performance. • Assessed model answers for clarity and completeness • Applied internal or proprietary annotation tools • Maintained consistency with guideline-based decision-making • Supported ongoing improvement cycles for AI systems