Seepid
Seepid is a concept related to the generation of synthetic data for artificial intelligence and machine learning applications. The term, a portmanteau of "synthetic" and "epidemic," suggests a rapid and widespread creation of artificial data, mimicking the exponential growth of an epidemic. The core idea behind Seepid is to generate large volumes of diverse and realistic synthetic data that can be used to train models, especially in scenarios where real-world data is scarce, sensitive, or biased.
The process typically involves using advanced generative models, such as Generative Adversarial Networks (GANs) or Variational