Generative Deep Learning, 2nd Edition

Chapter 14. Conclusion

Chapter Goals

In this chapter you will:

• Review the history of generative AI from 2014 to the present day, including a timeline of key models and developments.

• Understand the current state of generative AI, including the broad themes that are dominating the landscape.

• See my predictions for the future of generative AI and how it will impact everyday life, the workplace, and education.

• Learn about the important ethical and practical challenges faced by generative AI going forward.

• Read my final thoughts on the deeper meaning of generative AI and how it has the potential to revolutionize our quest for artificial general intelligence.

In May 2018, I began work on the first edition of this book. Five years later, I am more excited than ever about the endless possibilities and potential impact of generative AI.

In this time we have seen incredible progress in this field, with seemingly limitless potential for real-world applications. I am filled with a sense of awe and wonder at what we have been able to achieve so far and eagerly anticipate witnessing the effect that generative AI will have on the world in the coming years. Generative deep learning has the power to shape the future in ways we can’t even begin to imagine.

What’s more, as I have been researching content for this book, it has become ever clearer to me that this field isn’t just about creating images, text, or music. I believe that at the core of generative deep learning lies the secret ...