Part 5/10:
As development speeds up for prototype models, it also shifts the focus towards evaluation processes. In the realm of supervised learning, data collection and testing were somewhat symbiotic. However, with the advent of large language model-based applications, the need to gather additional testing data can become a bottleneck in development cycles. Therefore, organizations are now being prompted to evolve their evaluation strategies to keep pace with rapid prototyping.