# AI3.4 Video Generation

This skill focuses on AI models that generate or synthesize video content, addressing temporal consistency, multi-frame modeling, and large-scale training challenges. It covers architectures, datasets, and HPC-specific resource demands.

## Requirements

* External: Knowledge of deep learning and image/video data structures
* Internal: None

## Learning Outcomes

* Explain the structure of video generation models and how they differ from static image models.
* Identify key challenges in modeling temporal dynamics and visual coherence.
* Describe the resource demands of video generation, including GPU memory and disk I/O.
* Apply strategies to manage large-scale video datasets in distributed environments.
* Evaluate performance and quality trade-offs in video synthesis models.

** Caution: All text is AI generated **