AI Model Output Evaluation for Automotive NLP Systems
Evaluated and ranked AI generated text outputs for an NLP system used in the automotive industry. Tasks included assessing factual correctness, fluency, and relevance of model responses across multiple categories. Applied consistent quality criteria to over 500 samples per week and flagged edge cases for model improvement cycles.