**Turning Visual Data into Unified Representations for AI Training**
The technical report discussed a method for converting visual data into a unified representation that allows for large-scale training of AI models. It also looked at the strengths and limitations of Sora, a powerful AI model.
**Generative Models for Visual Data**
Prior research has explored different methods for generating video data using recurrent networks, generative adversarial networks, autoregressive transformers, and diffusion models. However, these methods often focus on specific types of visual data, short videos, or videos of a fixed size.
**Sora’s Capabilities**
Sora is a versatile AI model that can generate videos and images of various durations, aspect ratios, and resolutions, including high-definition videos up to a full minute long. This makes it a valuable tool for training AI models on a wide range of visual data.