Engineering Implementation of AI Inference Credibility

The rapid development of AI has made it increasingly important in decision support and business processes, but the issue of credibility has long plagued the industry. The zkML technology of @Lagrange Official with #lagrange network adds a layer of "mathematical insurance" to AI inference.

Lagrange completes calculations off-chain through the Coprocessor and then generates proofs to return on-chain. Users and businesses only need to verify the proofs to confirm the reliability of AI conclusions. Trustworthy answers can be obtained without accessing the original models or data, which is especially important in high-sensitivity fields such as medical diagnosis and financial risk control.

Node staking $LA participates in verification, with each node having economic guarantees, which reduces the motivation for malicious actions. The reward mechanism further encourages nodes to improve computation quality.

This engineered solution transforms “trusting AI” into “verifying AI.” In the future, regardless of how complex AI becomes, its inference results must be provable, and Lagrange is paving the way for such industry standards in advance.