- Test for potential biases within AI models by analysing model output across different demographics and data segments.
-Proficient in defining KPIs and metrics for generative AI model testing.
-Conduct model evaluation using relevant performance metrics, such as BLEU, ROUGE, and perplexity for language models.
-Validate model output for accuracy, coherence, and relevance, ensuring that the models align with business and user expectations.
- Expertise in query optimization and data processing to validate AI model performance and output efficiency.