Artificial Intelligence (AI) and Machine Learning (ML) models have become increasingly popular in both the business and private sectors. They allow individuals and companies to generate images, text, audio, and more for little to no cost and cut down on the number of labor hours required to complete crucial workplace tasks. They can also be valuable assistants for creative and analytical minds alike, providing faster ways to complete menial or repetitive tasks. However, before AI/ML models can be utilized in these capacities, they must first be trained. Synthetic data provides a possible solution to the vast amount of information and time that must be dedicated to creating a functional AI model.