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REAR transforms how we achieve user preference alignment in LLMs, enabling scalable realignment without costly retraining.
Finally, a single model handles multi-modal video generation, inpainting, and editing at cinematic resolutions with synchronized audio, all while accepting diverse inputs like text, images, video clips, and audio references.
