Generative Models: Explore a variety of generative models, such as autoencoders, GANs, and VAEs, and their applications in various domains. Training Techniques: Learn proven techniques for training and optimizing models, including adversarial training, self-supervised learning, and more. Applications: Discover the limitless possibilities of generative AI across a wide range of domains, from art and design to gaming and advertising. Interpreting Gen AI: Dive deep into how models generate content and the latest techniques for interpreting the output. Ethics and Governance: Discuss the importance of fairness, privacy, and accountability in generative models. Future Trends: Explore the latest open source projects, research, developments, and trends in the field.