1. Neural Networks
Sora AI is built on neural networks that have learned from millions of videos.
2. Transformer Architecture
It uses transformers, which are adept at processing language and understanding the context within sentences.
3. Diffusion Models
These models start with random noise and refine it step by step into clear images.
4. Latent Space
Instead of working directly with video data, Sora operates in a compressed, abstract representation.
5. Temporal Consistency
Sora AI ensures smooth transitions between video frames for realistic motion and consistency.
6. Training Data
The capabilities of Sora AI are heavily reliant on the quality of the training data.
7. Long-Form Content Management
Sora AI can manage long videos by maintaining narrative coherence and remembering details throughout the video.
8. Multimodal Learning
It can integrate and learn from various types of data, including audio and images.
9. Optimization Techniques
Sora AI employs techniques such as parallel processing, smart caching, and adaptive resolution.
10. Ethical Considerations
OpenAI considers the ethical implications of video generation technology.
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