Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli

Fatih Porikli discusses distillation techniques for efficient multimodal systems, including autonomous-driving scene understanding and planning, and sharper monocular depth estimation. The episode also reviews on-device demonstrations of 3D and video generation and visual question answering, connecting transformer and diffusion research with resource-constrained deployment.