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#157 - Gemini controversy, new Mistral models, Deepmind's Genie & Griffinn, AI Warfare is here
Last Week in AI
Sora Architecture and Diffusion Transformers in Image Processing
The Sora architecture involves chunking up images or videos into patches to train the model to operate on these patches instead of full images. These patches act as atomic ingredients of the image that are mapped into latent space for processing. This approach marks a shift from traditional image-level network architectures to diffusion transformers. The comparison between different models like Sora, Valley free, and stable diffusion highlights the challenge of diminishing returns for companies specialized in this area. As models advance in handling text well, the focus now shifts to finer details like drawing hands accurately. While stable diffusion three is still in the testing phase, the competition in image processing appears to be intensifying with newer architectures like Sora and Gemini entering the scene.
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