Lagrange Series (32): The Application of LA Tokens in Large Language Models
Large language models (LLMs) such as ChatGPT have permeated daily work and entertainment, but their black box nature always raises concerns. We input questions, receive answers, yet cannot verify whether the reasoning logic behind them is reliable. The Lagrange project, through the LA token, is attempting to change this situation. Using zero-knowledge proofs, the LA token can generate verifiable proofs for LLMs, ensuring that model outputs are based on correct calculations without exposing training data. This is particularly useful in Web3 and enterprise applications, shifting AI from “trust me” to “show me the proof.”
Specifically, the DeepProve library supports zkML optimization for LLMs. Developers first train the model and export it in ONNX format, then use the LA token-driven ZK proof network to generate the proof. Users who stake LA become provers, and the network assigns tasks to quickly process complex reasoning validation. For example, in game content generation, LLMs can create NPC dialogues, but after being verified with LA tokens, players can confirm that the content is not randomly fabricated but based on a preset model. This greatly enhances trust, especially in cross-chain or DeFi scenarios, mitigating manipulation risks.
The application of the LA token goes beyond the technical level. It also integrates into governance and reward systems. The community votes by holding LA to decide how to support LLM integration, such as optimizing circuit designs or expanding hardware acceleration. The result is a leap in proof generation speed, capable of handling models with millions of parameters, with verification taking only seconds. This is crucial for military or medical AI, such as verifying the accuracy of LLMs in diagnostic recommendations to guard against potential deception. As the era of ASI (Artificial Super Intelligence) approaches, the mathematical guarantees provided by the LA token become a protective wall for human safety.
Certainly, getting started is not difficult. Developers can use Lagrange’s toolkit, starting with simple tutorials, to stake a small amount of LA for testing proof generation. There are already 85+ operators in the ecosystem supporting it, ensuring network stability. Ultimately, the LA token transforms LLMs from tools into trusted partners, promoting the deep integration of AI and blockchain.
