AI030
Generative AI Foundations in Python
Architectural Survey: GANs, Diffusers, and Transformers
Learning Objectives
- Differentiate between adversarial training stability and diffusion-based iterative refinement.
- Explain how self-attention scales generative capabilities in transformer-based models.
- Analyze the computational trade-offs regarding sampling speed and sample quality among different model families.
- Evaluate the evolution of latent space representation across generative paradigms.