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.

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

• 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