Summary
In this chapter, we examined a number of emerging applications of generative models. One is in the field of biotechnology, where they can be used to create large collections of new potential drug structures. Also in the biotechnology field, generative models are used to create potential protein folding structures that can be used for computational drug discovery.
We explored how generative models can be used to solve mathematical problems, in particular PDEs, by mapping a set of boundary conditions of a fluid dynamics equation to a solution grid. We also examined a challenging problem of generating videos from a limited set of input images, and finally generating complex textual descriptions (components and sequences of instructions) from images of food to create recipes.
Well done for reaching the end of the book. As a final summary, let's recap everything we've learned:
- Chapter 1, An Introduction to Generative AI: "Drawing" Data from...
