Lagrange's DeepProve is currently the fastest zkML, capable of easily proving the correctness of AI inferences and scaling verifiable computing with the growing demand for AI. Lagrange's core product logic is to solve the on-chain invocation/verification problem of AI models using zero-knowledge proofs. Like a puzzle in the ZK Coprocessor, it falls into the category of off-chain execution + on-chain verification, somewhat resembling a trusted middleware for AI data results. Project advantages: 1. Verifiable Artificial Intelligence DeepProve allows anyone to verify, in an encrypted manner, whether a model executed the correct task with the correct input and produced the correct outputāregardless of where or how it runs. 2. Protecting Model Integrity Ensures that 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 sacrificing control, oversight, or data privacy. DeepProve solves this issue by providing provable trust with each inference, without compromise.
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 outputāregardless 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
Lagrange's DeepProve is currently the fastest zkML, easily proving the correctness of AI inferences and scaling verifiable computation with the growth of AI demand The core product logic of Lagrange is using zero-knowledge proof to address the issue of AI model invocation/verification on-chain Like a puzzle in a ZK Coprocessor, it falls under the category of off-chain execution + on-chain verification, somewhat resembling a trusted middleware for AI data results Project advantages: 1. Verifiable artificial intelligence DeepProve allows anyone to verify in an encrypted manner whether a model has performed the correct task with the correct input, and produced the correct outputāregardless of where or how it runs
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