Generative AI with Python and PyTorch

Table of Contents

1. Introduction to Generative AI: Drawing Data from Models
2. Building Blocks of Deep Neural Networks
3. The Rise of Methods for Text Generation
4. NLP 2.0: Using Transformers to Generate Text
5. LLM Foundations
6. Open-Source LLMs
7. Prompt Engineering
8. LLM Toolbox
9. LLM Optimization Techniques
10. Emerging Applications in Generative AI
11. Neural Networks Using VAEs
12. Image Generation with GANs
13. Style Transfer with GANs
14. Deepfakes with GANs
15. Diffusion Models and AI Art