Category: Technical How-to

Recent security incidents across blockchain and broader IT sectors underscore the persistent risk of sophisticated attacks on software supply chains and build environments. Reproducible builds offer a powerful mitigation strategy by making sure that software compiled from the same source code and dependencies consistently produces identical binaries, making it possible to detect tampering. In this […]

Digital assets is a rapidly maturing set of asset class, and customers are choosing AWS to build exchanges and trading platforms to differentiate their offerings across this dynamic and growing industry. In this multi part series, we explore the world of centralized exchange (CEX) and market maker (MM) infrastructure on AWS. In Part 1, we […]

Stablecoins offer significant advantages in the crypto space. They provide price stability and can serve as a reliable medium of exchange, store of value, or bridge between the fiat and crypto ecosystems. The ability to transfer stablecoins across multiple blockchains further enhances their utility by improving cross-chain interoperability and letting users take advantage of the […]

As Web3 and generative AI technologies continue to rapidly evolve, a new category of applications known as crypto AI agents has emerged. These agents use large language models (LLMs) for their intelligence to accomplish a variety of blockchain-related tasks through a supervisor-collaborator architecture. A supervisor agent orchestrates specialized collaborator agents to analyze blockchain data, identify […]

In Part 1 of this series, we introduced the concept of using a decentralized autonomous organization (DAO) to govern the lifecycle of an AI model, focusing on the ingestion of training data. In Part 2, we created and deployed a minimalistic smart contract on the Ethereum Sepolia using Remix and MetaMask, establishing a mechanism to govern which training data can be uploaded to the knowledge base and by whom. In Part 3, we set up Amazon API Gateway and deployed AWS Lambda functions to copy data from InterPlanetary File System (IPFS) to Amazon Simple Storage Service (Amazon S3) and start a knowledge base ingestion job, creating a seamless data flow from IPFS to the knowledge base. In this post, we demonstrate how to configure MetaMask authentication, create a frontend interface, and test the solution.

In Part 1 of this series, we introduced the concept of using a decentralized autonomous organization (DAO) to govern the lifecycle of an AI model, focusing on the ingestion of training data. In Part 2, we created and deployed a minimalistic smart contract on the Ethereum Sepolia testnet using Remix and MetaMask, establishing a mechanism to govern which training data can be uploaded to the knowledge base and by whom. In this post, we set up Amazon API Gateway and deploy AWS Lambda functions to copy data from InterPlanetary File System (IPFS) to Amazon Simple Storage Service (Amazon S3) and start a knowledge base ingestion job.

In Part 1 of this series, we introduced the concept of using a decentralized autonomous organization (DAO) to govern the lifecycle of an AI model, specifically focusing on the ingestion of training data. In this post, we focus on the writing and deployment of the Ethereum smart contract that contains the outcome of the DAO decisions.

Blockchain and generative AI are two technical fields that have received a lot of attention in the recent years. There is an emerging set of use cases that can benefit from these two technologies. In this four-part series, we build a solution that governs the training data ingestion process of an AI model, using a smart contract and serverless components. We guide you through the different steps to build the solution. In this post, we review the overall architecture of the solution, and set up a large language model (LLM) knowledge base.

Bitcoin is the most widely adopted and valuable cryptocurrency, known for its decentralization and security. Stacks, a Layer 2 solution built on top of Bitcoin, aims to unlock Bitcoin’s full potential by enabling fast, cheap, Bitcoin-secured transactions and smart contract functionality without modifying the Bitcoin protocol itself. Stacks uses a consensus mechanism called Proof of […]

Data within public blockchain networks such as Bitcoin and Ethereum can be accessed by anyone. However, accessing and making sense of this information has traditionally been a complex and technical undertaking. Much of the data is encoded and stored as bytes, rather than in a human-readable format. In this post, we introduce a solution that demonstrates how you can chat with blockchain data using Amazon Bedrock and the AWS Public Blockchain datasets. We discuss Amazon Bedrock, review the solution architecture, provide example prompts, share interesting findings, and go over how you can extend the solution to integrate with different data sources.