This is a dedicated watch page for a single video.
A fashion retailer wants to use generative AI to create images of new clothing designs. They have two potential datasets for training: a small, highly curated dataset of their own unique, past designs, or a very large, diverse dataset of generic clothing images scraped from the internet. Choosing to train primarily on the smaller, curated dataset of their own designs would most likely lead to a generative AI model that: