.NET Ramblings
open-menu closeme
Home
Videos
Feeds
About
Contribute
github linkedin
  • How Myriad Genetics achieved fast, accurate, and cost-efficient document processing using the AWS open-source Generative AI Intelligent Document Processing Accelerator

    calendar Nov 27, 2025 · aws.amazon.com/blogs/machine-learning
    How Myriad Genetics achieved fast, accurate, and cost-efficient document processing using the AWS open-source Generative AI Intelligent Document Processing Accelerator

    In this post, we explore how Myriad Genetics partnered with the AWS Generative AI Innovation Center to transform their healthcare document processing pipeline using Amazon Bedrock and Amazon Nova foundation models, achieving 98% classification accuracy while reducing costs by 77% and processing time by 80%. We detail …


    Read More
  • How CBRE powers unified property management search and digital assistant using Amazon Bedrock

    calendar Nov 27, 2025 · aws.amazon.com/blogs/machine-learning
    How CBRE powers unified property management search and digital assistant using Amazon Bedrock

    In this post, CBRE and AWS demonstrate how they transformed property management by building a unified search and digital assistant using Amazon Bedrock, enabling professionals to access millions of documents and multiple databases through natural language queries. The solution combines Amazon Nova Pro for SQL …


    Read More
  • Managed Tiered KV Cache and Intelligent Routing for Amazon SageMaker HyperPod

    calendar Nov 27, 2025 · aws.amazon.com/blogs/machine-learning
    Managed Tiered KV Cache and Intelligent Routing for Amazon SageMaker HyperPod

    In this post, we introduce Managed Tiered KV Cache and Intelligent Routing for Amazon SageMaker HyperPod, new capabilities that can reduce time to first token by up to 40% and lower compute costs by up to 25% for long context prompts and multi-turn conversations. These features automatically manage distributed KV …


    Read More
  • Apply fine-grained access control with Bedrock AgentCore Gateway interceptors

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    Apply fine-grained access control with Bedrock AgentCore Gateway interceptors

    We are launching a new feature: gateway interceptors for Amazon Bedrock AgentCore Gateway. This powerful new capability provides fine-grained security, dynamic access control, and flexible schema management. Link to article: …


    Read More
  • How Condé Nast accelerated contract processing and rights analysis with Amazon Bedrock

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    How Condé Nast accelerated contract processing and rights analysis with Amazon Bedrock

    In this post, we explore how Condé Nast used Amazon Bedrock and Anthropic’s Claude to accelerate their contract processing and rights analysis workstreams. The company’s extensive portfolio, spanning multiple brands and geographies, required managing an increasingly complex web of contracts, rights, and licensing …


    Read More
  • Building AI-Powered Voice Applications: Amazon Nova Sonic Telephony Integration Guide

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    Building AI-Powered Voice Applications: Amazon Nova Sonic Telephony Integration Guide

    Available through the Amazon Bedrock bidirectional streaming API, Amazon Nova Sonic can connect to your business data and external tools and can be integrated directly with telephony systems. This post will introduce sample implementations for the most common telephony scenarios. Link to article: …


    Read More
  • University of California Los Angeles delivers an immersive theater experience with AWS generative AI services

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    University of California Los Angeles delivers an immersive theater experience with AWS generative AI services

    In this post, we will walk through the performance constraints and design choices by OARC and REMAP teams at UCLA, including how AWS serverless infrastructure, AWS Managed Services, and generative AI services supported the rapid design and deployment of our solution. We will also describe our use of Amazon SageMaker AI …


    Read More
  • Optimizing Mobileye’s REM™ with AWS Graviton: A focus on ML inference and Triton integration

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    Optimizing Mobileye’s REM™ with AWS Graviton: A focus on ML inference and Triton integration

    In this post, we focus on one portion of the REM™ system: the automatic identification of changes to the road structure which we will refer to as Change Detection. We will share our journey of architecting and deploying a solution for Change Detection, the core of which is a deep learning model called CDNet. We will …


    Read More
  • Evaluate models with the Amazon Nova evaluation container using Amazon SageMaker AI

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    Evaluate models with the Amazon Nova evaluation container using Amazon SageMaker AI

    This blog post introduces the new Amazon Nova model evaluation features in Amazon SageMaker AI. This release adds custom metrics support, LLM-based preference testing, log probability capture, metadata analysis, and multi-node scaling for large evaluations. Link to article: …


    Read More
  • Beyond the technology: Workforce changes for AI

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    Beyond the technology: Workforce changes for AI

    In this post, we explore three essential strategies for successfully integrating AI into your organization: addressing organizational debt before it compounds, embracing distributed decision-making through the "octopus organization" model, and redefining management roles to align with AI-powered workflows. …


    Read More
  • Enhanced performance for Amazon Bedrock Custom Model Import

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    Enhanced performance for Amazon Bedrock Custom Model Import

    You can now achieve significant performance improvements when using Amazon Bedrock Custom Model Import, with reduced end-to-end latency, faster time-to-first-token, and improved throughput through advanced PyTorch compilation and CUDA graph optimizations. With Amazon Bedrock Custom Model Import you can to bring your …


    Read More
  • Amazon SageMaker AI introduces EAGLE based adaptive speculative decoding to accelerate generative AI inference

    calendar Nov 26, 2025 · aws.amazon.com/blogs/machine-learning
    Amazon SageMaker AI introduces EAGLE based adaptive speculative decoding to accelerate generative AI inference

    Amazon SageMaker AI now supports EAGLE-based adaptive speculative decoding, a technique that accelerates large language model inference by up to 2.5x while maintaining output quality. In this post, we explain how to use EAGLE 2 and EAGLE 3 speculative decoding in Amazon SageMaker AI, covering the solution architecture, …


    Read More
  • Train custom computer vision defect detection model using Amazon SageMaker

    calendar Nov 25, 2025 · aws.amazon.com/blogs/machine-learning
    Train custom computer vision defect detection model using Amazon SageMaker

    In this post, we demonstrate how to migrate computer vision workloads from Amazon Lookout for Vision to Amazon SageMaker AI by training custom defect detection models using pre-trained models available on AWS Marketplace. We provide step-by-step guidance on labeling datasets with SageMaker Ground Truth, training models …


    Read More
  • Practical implementation considerations to close the AI value gap

    calendar Nov 25, 2025 · aws.amazon.com/blogs/machine-learning
    Practical implementation considerations to close the AI value gap

    The AWS Customer Success Center of Excellence (CS COE) helps customers get tangible value from their AWS investments. We've seen a pattern: customers who build AI strategies that address people, process, and technology together succeed more often. In this post, we share practical considerations that can help close the …


    Read More
  • Introducing bidirectional streaming for real-time inference on Amazon SageMaker AI

    calendar Nov 25, 2025 · aws.amazon.com/blogs/machine-learning
    Introducing bidirectional streaming for real-time inference on Amazon SageMaker AI

    We're introducing bidirectional streaming for Amazon SageMaker AI Inference, which transforms inference from a transactional exchange into a continuous conversation. This post shows you how to build and deploy a container with bidirectional streaming capability to a SageMaker AI endpoint. We also demonstrate how you …


    Read More
  • Warner Bros. Discovery achieves 60% cost savings and faster ML inference with AWS Graviton

    calendar Nov 25, 2025 · aws.amazon.com/blogs/machine-learning
    Warner Bros. Discovery achieves 60% cost savings and faster ML inference with AWS Graviton

    Warner Bros. Discovery (WBD) is a leading global media and entertainment company that creates and distributes the world’s most differentiated and complete portfolio of content and brands across television, film and streaming. In this post, we describe the scale of our offerings, artificial intelligence (AI)/machine …


    Read More
  • Physical AI in practice: Technical foundations that fuel human-machine interactions

    calendar Nov 25, 2025 · aws.amazon.com/blogs/machine-learning
    Physical AI in practice: Technical foundations that fuel human-machine interactions

    In this post, we explore the complete development lifecycle of physical AI—from data collection and model training to edge deployment—and examine how these intelligent systems learn to understand, reason, and interact with the physical world through continuous feedback loops. We illustrate this workflow through …


    Read More
  • HyperPod now supports Multi-Instance GPU to maximize GPU utilization for generative AI tasks

    calendar Nov 25, 2025 · aws.amazon.com/blogs/machine-learning
    HyperPod now supports Multi-Instance GPU to maximize GPU utilization for generative AI tasks

    In this post, we explore how Amazon SageMaker HyperPod now supports NVIDIA Multi-Instance GPU (MIG) technology, enabling you to partition powerful GPUs into multiple isolated instances for running concurrent workloads like inference, research, and interactive development. By maximizing GPU utilization and reducing …


    Read More
  • Power up your ML workflows with interactive IDEs on SageMaker HyperPod

    calendar Nov 24, 2025 · aws.amazon.com/blogs/machine-learning
    Power up your ML workflows with interactive IDEs on SageMaker HyperPod

    Amazon SageMaker HyperPod clusters with Amazon Elastic Kubernetes Service (EKS) orchestration now support creating and managing interactive development environments such as JupyterLab and open source Visual Studio Code, streamlining the ML development lifecycle by providing managed environments for familiar tools to …


    Read More
  • Claude Opus 4.5 now in Amazon Bedrock

    calendar Nov 24, 2025 · aws.amazon.com/blogs/machine-learning
    Claude Opus 4.5 now in Amazon Bedrock

    Anthropic's newest foundation model, Claude Opus 4.5, is now available in Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models from leading AI companies. In this post, I'll show you what makes this model different, walk through key business applications, and demonstrate how …


    Read More
    • ««
    • «
    • 1
    • 2
    • »
    • »»

.NET Ramblings

Copyright  .NET RAMBLINGS. All Rights Reserved

to-top