More data isn't always better; understanding the nuances within data can lead to more meaningful insights. The power of generative adversarial networks lies in their ability to navigate variations in data, but human expertise remains crucial for determining when to halt training. Without domain knowledge, even advanced algorithms may struggle to produce optimal results.
