Lagrange's DeepProve is currently the fastest zkML, capable of easily proving the correctness of artificial intelligence inference and scaling verifiable computation with the growth of AI demand. Lagrange's core product logic is to solve the problem of AI model invocation/verification on-chain using zero-knowledge proofs. It is like a puzzle in the ZK Coprocessor, belonging to the category of off-chain execution + on-chain verification, somewhat like a trusted middleware for AI data results. Project advantages: 1. Verifiable Artificial Intelligence DeepProve allows anyone to verify, in an encrypted manner, whether the model executed the correct task with the correct input and produced the correct output—regardless of where or how it runs. 2. Protecting Model Integrity Ensures that the AI models deployed in production have not been tampered with. It verifies performance, audits behavior, and protects IP while maintaining the confidentiality of model parameters. 3. Trust without Compromise Today, trusting AI often requires giving up control, oversight, or data privacy. DeepProve addresses this issue, providing provable trust with every inference without compromise. #Launchpool #LA @Lagrange Official
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