AI Prompt Optimization and AI Content Evaluation (Independent AI Research & Analysis Projects)
Performed AI content evaluation by assessing generated outputs for factual accuracy, relevance, and safety. Verified information by identifying hallucinations and logical inconsistencies, then produced quality scores and improvement suggestions. Created structured evaluation criteria to measure reasoning quality and reliability for LLM outputs. • Checked outputs for factual consistency and reasoning quality • Detected hallucinations and inconsistencies • Applied content quality scoring and safety considerations • Documented evaluation findings and recommendations