As generative AI continues to evolve, the need for effective testing strategies becomes more critical than ever. Testing generative AI applications requires a comprehensive approach that goes beyond traditional testing methods to account for the unique characteristics of AI-driven systems. By focusing on aspects such as data quality, output validation, ethical considerations, and performance, testers can help ensure that AI models are reliable, fair, and capable of delivering high-quality results. https://testomat.io/blog/testing-strategy-for-ai-based-applications/