Lagrange Series (Thirty-Six): From Training to Proof: The Complete Process of LA Token
In the Lagrange ecosystem, the LA token is not just a medium of circulation, but also a bridge connecting AI training and zero-knowledge proofs. Starting from model training to generating verifiable proofs, the entire process is interconnected, allowing developers to easily build trustworthy AI systems. Imagine that you first train a neural network model locally or in the cloud, such as a CNN model for medical diagnosis. At this point, the role of the LA token begins to emerge; it can be used to pay for computational resources in the network, ensuring that training data remains private and secure in a decentralized environment. By staking LA tokens, you can also participate in the task allocation for proof generation, avoiding centralized bottlenecks.
Next is the preprocessing stage, which is the core turning point of the process. Once the trained model is exported to ONNX format, circuits and key pairs need to be generated. At this point, the ZK Prover Network intervenes, utilizing the LA-token-driven prover node network for efficient circuit compilation. Developers need not worry about hardware limitations, as institutional operators on the network will bid for these tasks, with LA tokens serving as fees and rewards, ensuring the speed and cost optimization of proof generation.
Proof generation is the practical phase of the process. Once the model inference is complete, the system will call the DeepProve library to produce encrypted proofs. This proof not only verifies the correctness of the computation but also ensures the integrity of the model. The LA token plays a governance role here, as the community votes to decide on network upgrades, such as optimizing proof speed or expanding to more AI types. The entire process is seamlessly integrated onto the blockchain, allowing proofs to be verified on-chain, thus avoiding trust issues.
Finally, we reach the verification and deployment phase. Anyone who receives the proof can complete the verification in half a second, thanks to Lagrange's performance innovations. The reward system of the LA token incentivizes provers to continue participating, forming a self-reinforcing loop. The entire process from training to proof not only enhances the credibility of AI but also paves the way for enterprise applications, such as directly using verifiable reasoning in financial decision-making. In summary, this process makes the LA token the engine of the integration between AI and blockchain, driving the industry toward a more secure direction.
