Part 5/8:
Human input plays a vital role throughout the development cycle of AI models. Historically, significant resources have been dedicated to human comparisons, where evaluators assess model outputs against one another. However, the efficiency of these practices is evolving; newer models are increasingly capable of generating high-quality answers, often surpassing human performance in specific tasks.
A growing reliance on AI-driven solutions and feedback means the role of human evaluators could diminish over time. Yet, nuanced human preferences remain critical, particularly in settings like preference tuning where comparison remains necessary.