Build character consistent storyboards using Amazon Nova in Amazon Bedrock – Part 2

Favorite Although careful prompt crafting can yield good results, achieving professional-grade visual consistency often requires adapting the underlying model itself. Building on the prompt engineering and character development approach covered in Part 1 of this two-part series, we now push the consistency level for specific characters by fine-tuning an Amazon

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Shared by AWS Machine Learning September 5, 2025

Enhancing LLM accuracy with Coveo Passage Retrieval on Amazon Bedrock

Favorite This post is co-written with Keith Beaudoin and Nicolas Bordeleau from Coveo. As generative AI transforms business operations, enterprises face a critical challenge: how can they help large language models (LLMs) provide accurate and trustworthy responses? Without reliable data foundations, these AI models can generate misleading or inaccurate responses,

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Shared by AWS Machine Learning September 4, 2025

Unlocking the future of professional services: How Proofpoint uses Amazon Q Business

Favorite This post was written with Stephen Coverdale and Alessandra Filice of Proofpoint. At the forefront of cybersecurity innovation, Proofpoint has redefined its professional services by integrating Amazon Q Business, a fully managed, generative AI powered assistant that you can configure to answer questions, provide summaries, generate content, and complete

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Shared by AWS Machine Learning September 4, 2025

Announcing the new cluster creation experience for Amazon SageMaker HyperPod

Favorite Today, Amazon SageMaker HyperPod is announcing a new one-click, validated cluster creation experience that accelerates setup and prevents common misconfigurations, so you can launch your distributed training and inference clusters complete with Slurm or Amazon Elastic Kubernetes Service (Amazon EKS) orchestration, Amazon Virtual Private Cloud (Amazon VPC) networking, high-performance

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Shared by AWS Machine Learning September 3, 2025

Document intelligence evolved: Building and evaluating KIE solutions that scale

Favorite 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.

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Shared by AWS Machine Learning September 3, 2025

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

Favorite 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

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Shared by AWS Machine Learning September 3, 2025

Natural language-based database analytics with Amazon Nova

Favorite 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

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Shared by AWS Machine Learning September 3, 2025