Summary
In this chapter, we traced the evolution of generative AI, distinguished it from traditional ML, explored its evolution, discussed its risks and implications, and, hopefully, dispelled some common misconceptions. We contemplated some of the possibilities anchored by consideration for its responsible adoption.
As we move on to the next chapter, we will examine the fundamental architectures behind generative AI, giving us a foundational understanding of the key generative methods, including GANs, diffusion models, and transformers. These ML methods form the backbone of generative AI and have been instrumental in bringing about the remarkable advancements we see today.
