AWS Certified AI Practitioner
Multimodal and Diffusion Models
Understand how generative AI works beyond text: what makes a model multimodal, how diffusion models build images by removing noise step by step, and how diffusion differs from GANs and from transformer language models.
Intermediate 18 minutes 4 Learning Objectives
- Define a multimodal model and distinguish it from a multi-model architecture
- Explain forward and reverse diffusion and how a text prompt steers image generation
- Describe why diffusion models work in latent space rather than on raw pixels
- Compare diffusion models with GANs and with transformer-based language models