VisionHOPE introduces a generic visual backbone that functions as a self-modifying learning system. The architecture allows what the model remembers and how it learns to co-evolve during image processing via nested learning.
HOW THIS AFFECTS YOU
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researcherYou can explore new paradigms where model weights adapt dynamically to input statistics during inference.