OpenAI's Sora | Generated by AI

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While OpenAI hasn’t released a detailed technical paper on Sora’s architecture, we can infer how it likely works based on their announcements and the general advancements in generative AI, particularly in text-to-image and video generation. Here’s a breakdown of the key concepts:

1. Diffusion Transformer Model:

2. Patches and Tokens:

3. Text-to-Video Generation Process:

4. Key Capabilities and Techniques:

5. Training Data:

In essence, Sora leverages the power of diffusion models for generating high-quality visual content and the transformer architecture for understanding and modeling the temporal dynamics of video. By breaking down video into manageable patches and processing them as a sequence, Sora can generate coherent, realistic, and imaginative video clips from text prompts.

It’s important to note that this is a high-level explanation based on the information currently available. OpenAI may reveal more technical details in the future.


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