September 2025

Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK

Amazon SageMaker HyperPod /

Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for data scientists and machine learning (ML) practitioners. The newly released command line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod simplify how you can use the service’s distributed training and inference capabilities. […]

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Build a serverless Amazon Bedrock batch job orchestration workflow using AWS Step Functions

Advanced (300), Amazon Bedrock, Serverless, Technical How-to, Uncategorized /

As organizations increasingly adopt foundation models (FMs) for their artificial intelligence and machine learning (AI/ML) workloads, managing large-scale inference operations efficiently becomes crucial. Amazon Bedrock supports two general types of large-scale inference patterns: real-time inference and batch inference for use cases that involve processing massive datasets where immediate results aren’t necessary. Amazon Bedrock batch inference

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Natural language-based database analytics with Amazon Nova

Amazon Athena, Amazon Bedrock, Amazon Nova, Amazon SageMaker, AWS Glue, Generative AI /

In this post, we explore how natural language database analytics can revolutionize the way organizations interact with their structured data through the power of large language model (LLM) agents. Natural language interfaces to databases have long been a goal in data management. Agents enhance database analytics by breaking down complex queries into explicit, verifiable reasoning

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Deploy Amazon Bedrock Knowledge Bases using Terraform for RAG-based generative AI applications

Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon OpenSearch Service, Generative AI, Intermediate (200), Technical How-to /

Retrieval Augmented Generation (RAG) is a powerful approach for building generative AI applications by providing foundation models (FMs) access to additional, relevant data. This approach improves response accuracy and transparency while avoiding the potential cost and complexity of FM training or fine-tuning. Many customers use Amazon Bedrock Knowledge Bases to help implement RAG workflows. You

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Document intelligence evolved: Building and evaluating KIE solutions that scale

Advanced (300), Amazon Bedrock, Amazon Nova, Amazon SageMaker AI, Foundation models, Generative AI, Technical How-to /

Intelligent document processing (IDP) refers to the automated extraction, classification, and processing of data from various document formats—both structured and unstructured. Within the IDP landscape, key information extraction (KIE) serves as a fundamental component, enabling systems to identify and extract critical data points from documents with minimal human intervention. Organizations across diverse sectors—including financial services,

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