Quality Defies Definition

Understanding the concept of quality varies significantly among individuals, leading to challenges in evaluating it consistently. Different areas of expertise, such as first-grade math versus PhD-level math, illustrate this disparity, where not everyone can discern the correctness in complex issues. As we venture into testing for non-deterministic systems, it is crucial to prioritize test-driven development and utilize qualitative methods to address these complexities. The evolving landscape of data quality, particularly in Generative AI, showcases the need for diverse approaches, as historical frameworks may lack applicability in contemporary scenarios.