What are the three main eras of generative AI development as outlined in the conclusion chapter?

The three main eras of generative AI development are: 2014-2017, the VAE and GAN era; 2018-2019, the Transformer era; and 2020-2022, the Big Model era.

The development of generative AI can be divided into three main eras. From 2014 to 2017, the focus was on Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), which introduced new frameworks and architectures for generative modeling. The period from 2018 to 2019 marked the rise of Transformers, which utilized attention mechanisms to improve upon previous autoregressive models. Finally, from 2020 to 2022, the Big Model era emerged, characterized by the development of large-scale models that significantly advanced the capabilities of generative AI.