Use a DAO to govern LLM training data, Part 1: Retrieval Augmented Generation

This article discusses using a Decentralized Autonomous Organization (DAO) to govern Large Language Model (LLM) training data, focusing on the first part of a four-part series about implementing this concept on AWS.

• Explores combining blockchain and generative AI technologies
• Creates a solution for decentralized governance of AI training data
• Demonstrates setting up an Amazon Bedrock knowledge base using Ethereum Improvement Proposals (EIPs)
• Uses Retrieval Augmented Generation (RAG) to enable intelligent querying of document repositories
• Utilizes Amazon S3, Lambda, and Bedrock Knowledge Bases for implementation

The article provides a technical overview of how DAOs can democratically manage AI training data, promoting transparency, accountability, and collaborative model development.