Review of Generative Models
Ruixi Wang · Applied and Computational Engineering · 2023
The advancement of generative AI models has been remarkable since 2022. Several visually appealing generative AI models have been introduced to the public, including those for text and image generation. Despite being generated by large-scale neural networks and deep learning algorithms through extensive training, generative models are capable of achieving average or above-average quality and creativity in many fields, such as painting and literature. This paper will examine some of the AI models currently available, delve into their underlying principles and histories, and provide insight into what the future may hold. With the advancement of technology, we can expect to see even more innovative and creative applications in the future.