{
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  "title": "AI News: AWS Machine Learning",
  "home_page_url": "https://ai-news.ypetit.net/sources/aws-ml-blog/",
  "feed_url": "https://ai-news.ypetit.net/feed/source/aws-ml-blog.json",
  "description": "Latest publications from AWS Machine Learning, aggregated by AI News from the official source.",
  "language": "en",
  "items": [
    {
      "id": "d4a0021627e124e1cbf32bd2a1426e1abfda6b33",
      "url": "https://aws.amazon.com/blogs/machine-learning/multi-turn-reinforcement-learning-on-amazon-sagemaker-ai-a-hands-on-guide/",
      "title": "AWS Machine Learning: Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide",
      "summary": "Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI trains models on the outcome of a whole multi-step task rather than labeled steps. This hands-on guide walks the full pipeline using Wordle: deploying the agent and reward on Amazon Bedrock AgentCore, preparing th…",
      "date_published": "2026-10-23T17:48:54.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
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      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "99e1f40843e42eddcc6ecfc9f758bee6b1d7c9a3",
      "url": "https://aws.amazon.com/blogs/machine-learning/orchestrating-sagemaker-ai-endpoint-auto-scaling-with-aws-cdk/",
      "title": "AWS Machine Learning: Orchestrating SageMaker AI endpoint auto scaling with AWS CDK",
      "summary": "Updating a SageMaker AI endpoint that has Application Auto Scaling registered makes AWS CloudFormation and AWS CDK deployments fail. This post shows how to build a reusable AWS CDK construct with CloudFormation custom resources that deregisters and re-registers auto scaling au…",
      "date_published": "2026-10-23T16:30:10.000Z",
      "tags": [
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      ],
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    },
    {
      "id": "b00ee9ac34cfc25b65e7db16ebf768122bad4a1b",
      "url": "https://aws.amazon.com/blogs/machine-learning/visualize-points-and-routes-with-geojson-in-amazon-quick-sight-layer-maps/",
      "title": "AWS Machine Learning: Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps",
      "summary": "Amazon Quick Sight layer maps now support Point and LineString geometry from the same GeoJSON workflow, so you can plot store locations and the routes between them. This post covers the dataset and GeoJSON structure layer maps require, when to choose points or lines, and techn…",
      "date_published": "2026-10-23T16:24:55.000Z",
      "tags": [
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        "AWS Machine Learning"
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    {
      "id": "b1f9be62942b6b77e09ee44eda01d25e5a58cfc4",
      "url": "https://aws.amazon.com/blogs/machine-learning/how-bayer-crop-science-built-an-agentic-decision-engine-on-amazon-bedrock-agentcore-with-aws-unified-operations/",
      "title": "AWS Machine Learning: How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations",
      "summary": "Bayer Crop Science built the Agentic Decision Engine (ADE), a multi-agent platform on Amazon Bedrock AgentCore that lets breeders, analysts, and researchers ask natural language questions about their analytics platform. This post covers the ADE architecture, five design decisi…",
      "date_published": "2026-10-23T16:21:36.000Z",
      "tags": [
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    {
      "id": "8dd8e6bc35ad32eff8fd57bbe04f9c56274f46ed",
      "url": "https://aws.amazon.com/blogs/machine-learning/amazon-polly-delivers-a-major-upgrade-to-its-generative-engine/",
      "title": "AWS Machine Learning: Amazon Polly delivers a major upgrade to its Generative engine",
      "summary": "The Amazon Polly Generative engine gets a major upgrade: more expressive, more accurate speech with low latency, plus 14 new voices across 9 locales and general availability of Hindi and Finnish. This drop-in upgrade requires no code changes and is now generally available in p…",
      "date_published": "2026-10-22T18:06:35.000Z",
      "tags": [
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        "AWS Machine Learning"
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      "id": "4c086dcfa95658eafa8d777d0aa2a5fcb4edc64f",
      "url": "https://aws.amazon.com/blogs/machine-learning/how-iskaypet-unified-corporate-knowledge-with-amazon-bedrock-managed-knowledge-bases/",
      "title": "AWS Machine Learning: How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases",
      "summary": "Learn how IskayPet, a leading pet care company in Iberia, built a multilingual corporate knowledge assistant on Amazon Bedrock Managed Knowledge Bases. The assistant answers employee questions across retail, veterinary, onboarding, and procurement in four languages and three c…",
      "date_published": "2026-10-22T18:01:53.000Z",
      "tags": [
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      "id": "123e9274ff10d780d0521efd9bdc03cfb23cff08",
      "url": "https://aws.amazon.com/blogs/machine-learning/announcing-new-ways-to-customize-models-with-sagemaker-ai-without-managing-gpus/",
      "title": "AWS Machine Learning: Announcing new ways to customize models with SageMaker AI, without managing GPUs",
      "summary": "Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles GPU alloc…",
      "date_published": "2026-10-22T18:00:04.000Z",
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      "id": "85d3ed31b82ab8523ac7effc5500095e66ae8521",
      "url": "https://aws.amazon.com/blogs/machine-learning/write-your-own-training-loop-without-managing-gpus-with-amazon-sagemaker-training-sessions/",
      "title": "AWS Machine Learning: Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs",
      "summary": "Amazon SageMaker AI training session APIs let you write your own LLM training loop (SFT, RL, or custom objectives) in a Python script while the service runs the GPUs. This post introduces the programming model and three SDK clients, then walks through a GRPO loop on GSM8K and …",
      "date_published": "2026-10-22T18:00:01.000Z",
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      "id": "9bd193b4e42ef70bdb7e98ad7ab3c3f9df6f367e",
      "url": "https://aws.amazon.com/blogs/machine-learning/deploy-ai-in-a-hipaa-eligible-environment-with-amazon-quick/",
      "title": "AWS Machine Learning: Deploy AI in a HIPAA-eligible environment with Amazon Quick",
      "summary": "Amazon Quick is a HIPAA-eligible service, but eligibility is not the same as compliance. This post explains who HIPAA applies to, how PHI flows through Amazon Quick, what the platform provides for regulated environments, and a step-by-step guide to deploying compliant AI agent…",
      "date_published": "2026-10-22T17:48:22.000Z",
      "tags": [
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      "id": "351e07d8236b8a05fa15e510dcb5b937d7a9dec8",
      "url": "https://aws.amazon.com/blogs/machine-learning/stream-low-latency-speech-from-ai-agents-using-kokoro-tts-on-amazon-sagemaker-ai/",
      "title": "AWS Machine Learning: Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI",
      "summary": "Voice agents often wait for an agent's full response before starting speech synthesis, adding latency users feel directly. This post shows how to stream each sentence to a Kokoro-82M text-to-speech model on Amazon SageMaker AI as the agent produces it, and how to get that audi…",
      "date_published": "2026-10-22T17:45:58.000Z",
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    {
      "id": "bc1e8aba2e409ec4403d397afa02816caf7e4b6e",
      "url": "https://aws.amazon.com/blogs/machine-learning/stop-guessing-auto-scaling-targets-for-tts-on-amazon-sagemaker-ai/",
      "title": "AWS Machine Learning: Stop guessing auto scaling targets for TTS on Amazon SageMaker AI",
      "summary": "Teams deploying custom text-to-speech models on Amazon SageMaker AI often guess at autoscaling thresholds, and a wrong guess either wastes GPU spend or breaches a latency SLO. This post deploys Kokoro-82M as a custom container and derives a measured autoscaling policy from two…",
      "date_published": "2026-10-22T16:30:06.000Z",
      "tags": [
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    {
      "id": "7b42b92d3553785669b6b7f2bc67061098c8e566",
      "url": "https://aws.amazon.com/blogs/machine-learning/how-rescale-built-an-ai-triage-agent-with-strands-agents-and-ai-dlc/",
      "title": "AWS Machine Learning: How Rescale built an AI triage agent with Strands Agents and AI-DLC",
      "summary": "Rescale used the AI-Driven Development Lifecycle (AI-DLC) framework on AWS, with Strands Agents and Amazon Bedrock, to build an intelligent test-triage agent in weeks. Learn how AI-DLC structures AI-assisted development and how Rescale is scaling the practice across its engine…",
      "date_published": "2026-10-22T16:25:57.000Z",
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      "url": "https://aws.amazon.com/blogs/machine-learning/securing-quick-access-from-corporate-networks-with-aws-privatelink/",
      "title": "AWS Machine Learning: Securing Quick access from corporate networks with AWS PrivateLink",
      "summary": "Learn how to connect on-premises data sources to Amazon Quick privately with AWS PrivateLink, keeping analytics traffic off the public internet. This walkthrough covers VPC endpoints for user and API access, VPC connections for data sources, DNS and endpoint policies, identity…",
      "date_published": "2026-10-21T23:38:38.000Z",
      "tags": [
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        {
          "name": "AWS Machine Learning"
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    {
      "id": "592e790776f1a784bac6fdbee94e1681b38d082b",
      "url": "https://aws.amazon.com/blogs/machine-learning/5-production-challenges-in-multi-agent-systems-and-how-deep-insight-solved-them/",
      "title": "AWS Machine Learning: 5 production challenges in multi-agent systems and how Deep Insight solved them",
      "summary": "Many teams build a multi-agent AI prototype in days but hit a wall in production. This post defines five production challenges (orchestration, per-agent model selection, reliable operation, secure code execution, and monitoring) and shows how Deep Insight, an open source multi…",
      "date_published": "2026-10-21T23:36:47.000Z",
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    {
      "id": "bc3c26fa1b9f32217f78b6ea7dade55d7572f14d",
      "url": "https://aws.amazon.com/blogs/machine-learning/adaptive-agentic-intelligence-framework-using-strands-agents/",
      "title": "AWS Machine Learning: Adaptive agentic intelligence framework using Strands Agents",
      "summary": "The Adaptive Agentic Intelligence Framework (AAIF), built with Strands Agents, handles routine tasks locally with small language models and routes complex requests to cloud models through Amazon Bedrock. This post walks through building AAIF with local SLMs through Ollama and …",
      "date_published": "2026-10-21T21:23:26.000Z",
      "tags": [
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    {
      "id": "54e8299bd0c441c1532fc17ed8f18dacc33ccc0d",
      "url": "https://aws.amazon.com/blogs/machine-learning/train-qwen3-on-aws-trainium-with-torchtitan/",
      "title": "AWS Machine Learning: Train Qwen3 on AWS Trainium with torchtitan",
      "summary": "Train Qwen3 on AWS Trainium with torchtitan three ways on a single trn2.48xlarge: the Hugging Face Transformers v5 modeling backend, torchtitan's native Qwen3, and NKI mixture-of-experts kernels. The same torchrun launcher and config structure work unchanged across all three p…",
      "date_published": "2026-10-21T20:00:22.000Z",
      "tags": [
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      "authors": [
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          "name": "AWS Machine Learning"
        }
      ]
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      "id": "3041691fe51fb842c8451055f54e6f1d4b96e4bf",
      "url": "https://aws.amazon.com/blogs/machine-learning/how-u-s-hunger-connects-leaders-and-data-using-amazon-quick/",
      "title": "AWS Machine Learning: How U.S. Hunger connects leaders and data using Amazon Quick",
      "summary": "U.S. Hunger, a nonprofit addressing food insecurity, uses Amazon Quick to connect organizational data with leadership decisions. Leaders explore applicant data directly, share KPI definitions and financial context in Quick Spaces, and investigate policy questions with Quick Re…",
      "date_published": "2026-10-21T19:19:50.000Z",
      "tags": [
        "blog",
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      "authors": [
        {
          "name": "AWS Machine Learning"
        }
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      "id": "733fa955e4db373fd2ec88938f4d9a6aa8ad0a49",
      "url": "https://aws.amazon.com/blogs/machine-learning/beyond-the-kv-cache-training-and-serving-i14s-laplace-3b-linear-attention-model-on-aws-trainium2-with-native-pytorch/",
      "title": "AWS Machine Learning: Beyond the KV cache: Training and serving i14’s Laplace 3B linear attention model on AWS Trainium2 with native PyTorch",
      "summary": "Learn how i14 trained and served Laplace 3B, a linear attention model, on AWS Trainium2 using native PyTorch. Its recurrent state stays fixed at 29.5 MB per sequence regardless of context length, avoiding the growing key-value cache of transformer models and keeping serving me…",
      "date_published": "2026-10-20T21:14:10.000Z",
      "tags": [
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        "AWS Machine Learning"
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      "authors": [
        {
          "name": "AWS Machine Learning"
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      "id": "47fdf366d1959d8569ea858c6045c42e45b756f5",
      "url": "https://aws.amazon.com/blogs/machine-learning/workflow-context-for-ai-agents-with-smartsheet-mcp-on-aws/",
      "title": "AWS Machine Learning: Workflow context for AI agents with Smartsheet MCP on AWS",
      "summary": "The Smartsheet Model Context Protocol (MCP) Server lets AI agents read, update, and act on live data. This post shows two ways to connect it on AWS: Amazon Quick for business teams and Kiro for developers, so your agents can work with Smartsheet without switching tools.",
      "date_published": "2026-10-20T17:59:07.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    },
    {
      "id": "4732e547b3ba87197c5a5faf5d2f273ac726daf1",
      "url": "https://aws.amazon.com/blogs/machine-learning/from-data-to-decisions-conversational-supply-chain-intelligence-with-amazon-quick-and-amazon-bedrock-agentcore/",
      "title": "AWS Machine Learning: From data to decisions: Conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore",
      "summary": "Enterprise supply chains are data-rich but insight-poor, with the data to decide scattered across ERP, monitoring, procurement, and email. This post shows how Amazon Bedrock AgentCore exposes those systems as a governed tool layer, and how Amazon Quick turns them into one conv…",
      "date_published": "2026-10-20T17:52:50.000Z",
      "tags": [
        "blog",
        "AWS Machine Learning"
      ],
      "authors": [
        {
          "name": "AWS Machine Learning"
        }
      ]
    }
  ]
}