Generative Adversarial Networks (GANs) are reshaping data creation, producing realistic datasets with unprecedented accuracy and their transformative impact on AI and data science.

Transfer learning entails the adjustment or refinement of a pre-trained model originally developed for a specific task to suit a different but related task.