by Generative AI will explode in 2022. Some major technology companies have begun to embed generative AI in their services to optimize the experience, and some leading companies have directly packaged it into products for enterprise use. The application field of generative AI has also moved from the specific use in the past to a broader and more general field. The explosion of generative AI, seeing more possibilities Generative AI did not appear in the past 1 or 2 years, but a technology that has been developed for a long time. The early representative architecture is the Generative Adversarial Network GAN, which consists of a set of generators and discriminators that compete with each other to improve the quality of the output. It first appeared in 2014. Representative cases include Nvidia used to generate self-driving training data (such as street view environments), and they also created GauGAN to generate artistic paintings. But GAN has the disadvantage of being difficult to control the quality of generation.
