AWS publishes tutorial on self-improving document processing with Bedrock AgentCore
Overview
AWS Machine Learning Blog publishes a tutorial on building an agentic document processing system with Amazon Bedrock AgentCore.
The system classifies, extracts, validates, and learns from business documents such as invoices and purchase orders with minimal human intervention. Per the post, eight specialized agents run in two workflows: one trains extraction instructions for new document types, and the other reuses saved instructions for known types. AWS says the system can be deployed in under 20 minutes.
The solution runs on serverless, on-demand resources, and AWS says users pay only for what they use, with no idle costs.
Written by AI from the articles below · updated Oct 14, 12:37 PM ET
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- AWS Machine Learning BlogOfficialAWS builds self-improving document processing on Amazon Bedrock AgentCore
AIAWS says a multi-agent document processing system on Amazon Bedrock AgentCore classifies, extracts, validates, and learns from business documents such as invoices and purchase orders with minimal human intervention. Eight specialized agents run in two workflows: one trains extraction instructions for new document types, and the other reuses saved instructions for known types. The post says the system can be deployed in under 20 minutes.
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