Use a DAO to govern LLM training data, Part 2: The smart contract

This article discusses how to use a decentralized autonomous organization (DAO) to govern the lifecycle of an AI model, specifically focusing on the ingestion of training data. It covers the implementation of an Ethereum smart contract that stores references to training data stored on the InterPlanetary File System (IPFS).

Specifically, the article covers:

• Solution overview and advantages of using IPFS for storing training data
• Prerequisites and setting up MetaMask for the Ethereum testnet
• Writing and deploying a smart contract in Remix IDE that maps user accounts to IPFS content identifiers (CIDs)
• Creating a new IPFS CID for additional training data (Ethereum yellowpaper)
• Adding the new training data reference to the smart contract
• Conclusion and preview of Part 3 on integrating IPFS with the knowledge base on AWS