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SUMMARY: The video introduces DSperse, a toolkit by Inference Labs for slicing large AI models into independently verifiable segments, enabling efficient zero-knowledge proof generation for model inference. Developers Spencer Graham and Dan explain how DSperse supports slicing, compiling, running, and proving neural networks across various backends, making verification of complex architectures practical and scalable. Designed for flexibility and distributed deployment, DSperse marks a major step toward secure, transparent AI verification in the evolving zkML ecosystem.
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