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Home/News

News & Analysis

Editorial coverage, in-depth analysis, and developer guides — 4 articles.

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  • NewsNewsAmazon (AWS)

    Migrating a text agent to a voice assistant with Amazon Nova 2 Sonic

    In this post, we explore what it takes to migrate a traditional text agent into a conversational voice assistant using Amazon Nova 2 Sonic. We compare text and voice agent requirements, highlight design priorities for different use cases, break down agent architecture, and address common concerns like tools and sub-agents for reuse and system prompt adaptation. This post helps you navigate the migration process and avoid common pitfalls.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 28, 2026Lana Zhang
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  • NewsNews

Tags

#AWS Lambda#Advanced (300)#Amazon Nova#Amazon SageMaker HyperPod#Artificial Intelligence#Best Practices#Financial Services#Generative AI#Healthcare#Intermediate (200)#Technical How-to
Amazon (AWS)

Navigating the generative AI journey: The Path-to-Value framework from AWS

In this post, we introduce the Generative AI Path-to-Value (P2V) framework, a structured approach to help you move generative AI initiatives from concept to production and sustained value creation.

Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
Apr 14, 2026Nitin Eusebius
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  • NewsNewsAmazon (AWS)

    Best practices to run inference on Amazon SageMaker HyperPod

    This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling, simplified deployment, and intelligent resource management. By the end of this post, you’ll understand how to use the HyperPod automated infrastructure, cost optimization features, and performance enhancements to reduce your total cost of ownership by up to 40% while accelerating your generative AI deployments from concept to production.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 14, 2026Vinay Arora
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  • NewsNewsAmazon (AWS)

    How to build effective reward functions with AWS Lambda for Amazon Nova model customization

    This post demonstrates how Lambda enables scalable, cost-effective reward functions for Amazon Nova customization. You'll learn to choose between Reinforcement Learning via Verifiable Rewards (RLVR) for objectively verifiable tasks and Reinforcement Learning via AI Feedback (RLAIF) for subjective evaluation, design multi-dimensional reward systems that help you prevent reward hacking, optimize Lambda functions for training scale, and monitor reward distributions with Amazon CloudWatch. Working code examples and deployment guidance are included to help you start experimenting.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 13, 2026Manoj Gupta
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