AWS Machine Learning Blog

Amazon’s Finance Technology (FinTech) teams build and operate systems for Amazon teams to manage regulatory inquiries in compliance with different jurisdictions. These teams process regulatory inquiries from authorities, each presenting different requirements, document formats, and complexity levels.

Processing these regulatory inquiries involves reviewing documentati...

Before you can extract information from documents using intelligent document processing (IDP) techniques, you need a schema for each document class that defines what to extract. But how do you create schemas when you have thousands of documents and don’t know what classes exist? Doing this at scale can take substantial manual effort, making downstream IDP initiatives difficul...

The EU AI Act requires organizations fine-tuning large language models (LLMs) to track computational resources measured in floating-point operations (FLOPs) to determine compliance obligations. As customers increasingly fine-tune LLMs for domain-specific use cases, we hear a common question: how do I know if my training job triggers new regulatory obligations?

This post is co written by Ishan Goswami and Nitya Sridhar from Exa.

If you are building web search-enabled AI agents for research, fact-checking, or competitive intelligence, access to current and reliable information is critical. Most general-purpose search APIs are not designed for agent workflows. They return HTML-heavy pages and short snippets optimized ...

Today, we’re excited to announce the general availability of Claude Platform on AWS. Claude Platform on AWS is a new service that gives customers direct access to Anthropic’s native Claude Platform experience through their AWS account, with no separate credentials, contracts, or billing relationships required. AWS is the first cloud provider to offer access to the native Clau...