AI030
Generative AI Foundations in Python
Foundations and Paradigms of Generative AI
Learning Objectives
- Distinguish between generative and discriminative modeling paradigms.
- Analyze the evolution of generative architectures from VAEs and GANs to Diffusion Models.
- Evaluate the role of latent space and manifold learning in data synthesis.
- Comprehend the mathematical foundations of probabilistic density estimation in high-dimensional spaces.