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AI & ML on AWS

20 articles from official documentation

Practitioner20 articles
awsai mlPractitioner

Unlocking AWS Innovations: Polly's Generative Voices and TorchNeuron for Trainium

AWS continues to push boundaries with its latest updates, including Amazon Polly's generative engine featuring 57 voices across 11 languages. Dive into how TorchNeuron simplifies model deployment on Trainium with a simple command.

  • →Leverage Amazon Polly's generative engine for diverse voice synthesis across multiple languages.
  • →Use TorchNeuron to run PyTorch models on Trainium with a simple command: .to('neuron').
5 min read·AWS Blog
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awsai mlPractitioner

AWS Weekly Roundup: Key Innovations from Prime Day 2026

Dive into the latest AWS advancements that emerged from Prime Day 2026. Discover how Claude Haiku 5.5 delivers performance at a fraction of the cost compared to its predecessor, and learn about Amazon Nova 2.5 Sonic's capabilities for real-time voice agents.

  • →Leverage Claude Haiku 5.5 for cost-effective performance improvements in AI tasks.
  • →Utilize Amazon Nova 2.5 Sonic to build responsive real-time voice agents with lower latency.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking AWS Bedrock: Managed Agents and New AI Capabilities

AWS Bedrock introduces Managed Agents powered by OpenAI, streamlining your AI workflows. With the new AWS Well-Architected Agent, you can optimize your applications for cost and performance effortlessly.

  • →Leverage Amazon Bedrock Managed Agents for seamless integration with AWS resources.
  • →Utilize the Amazon Bedrock AgentCore Runtime for managed runtime sessions.
5 min read·AWS Blog
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Unlocking AWS Innovations: GPT-6, Claude Opus 5.5, and More

AWS is pushing the boundaries of AI and event-driven architecture with the latest updates. Discover how Amazon CloudWatch Omni and EventBridge can streamline your operations and enhance your AI applications.

  • →Utilize Amazon CloudWatch Omni for collaborative application monitoring without reconfiguration.
  • →Leverage Amazon EventBridge's enhanced custom event bus for scalable event-driven applications.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking AWS Innovations: Mobile Apps, AI Hiring, and Corretto 27

AWS continues to evolve with new tools that enhance productivity and streamline operations. The AWS Builder Center is now available on mobile, allowing developers to access resources on the go. Dive into the latest features like Amazon Connect Talent and Amazon Corretto 27 to see how they can transform your workflows.

  • →Explore the AWS Builder Center mobile app for on-the-go access to resources.
  • →Utilize Amazon Connect Talent for AI-driven recruitment at scale.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking the Power of OpenAI GPT-6 Astra on Amazon Bedrock

OpenAI's GPT-6 Astra is now available on Amazon Bedrock, boasting a staggering context window of up to 1 million input tokens. This capability can revolutionize how you build AI applications, but understanding its integration is key.

  • →Leverage OpenAI GPT-6 Astra for applications requiring extensive contextual understanding with up to 1 million tokens.
  • →Utilize Amazon Bedrock APIs to seamlessly integrate GPT-6 Astra into your existing workflows.
5 min read·AWS Blog
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awsai mlPractitioner

Harnessing Claude Fable 5.1 and Amazon Linux 2027 for Next-Gen Workloads

AWS just rolled out Claude Fable 5.1, designed to tackle ambitious coding and research tasks with unprecedented efficiency. Coupled with the preview of Amazon Linux 2027, this combination promises to elevate your cloud-native applications.

  • →Leverage Claude Fable 5.1 for ambitious coding and scientific research tasks.
  • →Utilize Amazon Linux 2027 for optimized cloud-native workloads.
5 min read·AWS Blog
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awsai mlPractitioner

AI-Driven Software Delivery: Harnessing Kiro, AWS DevOps Agent, and Bluebox

Unlock the potential of AI in your software delivery process. Discover how Kiro, AWS DevOps Agent, and Bluebox work together to create a seamless development cycle that adapts to real production conditions. This isn't just theory—it's a game-changer for operational efficiency.

  • →Utilize Kiro to generate code that aligns with real production conditions from the first commit.
  • →Leverage AWS DevOps Agent to autonomously run tests and review changes for production readiness.
5 min read·AWS DevOps Blog
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awsai mlPractitioner

Unlocking AI Potential: AWS Innovations from the Heroes Summit

AWS is pushing boundaries with new features that enhance AI capabilities and streamline development workflows. Notably, Amazon Bedrock now allows OpenAI models to access real-time web information, transforming how AI applications function. Dive in to explore these game-changing updates.

  • →Leverage Amazon Bedrock to enable OpenAI models to access real-time web data.
  • →Utilize dedicated runtime instances through Amazon Bedrock AgentCore for predictable performance.
5 min read·AWS Blog
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awsai mlPractitioner

Automate SageMaker HyperPod Incident Triage with AWS DevOps Agent

Streamline your incident response for SageMaker HyperPod with the AWS DevOps Agent. This tool autonomously triages incidents and performs root-cause analysis, allowing you to focus on what matters. Learn how to set it up and leverage its capabilities effectively.

  • →Integrate AWS DevOps Agent with your HyperPod cluster for autonomous incident response.
  • →Configure parameters like HyperPodClusterName and EmailRecipients for effective monitoring.
5 min read·AWS DevOps Blog
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awsai mlPractitioner

Runtime Instances: Persistent Compute for AI Agents on Amazon Bedrock

Unlock the power of persistent compute with Runtime instances in Amazon Bedrock AgentCore. These managed microVMs support stateful workflows and can handle complex tasks for up to 8 hours, making them ideal for production AI agents.

  • →Leverage Runtime instances for persistent compute in AI workflows.
  • →Utilize microVMs for stateful workflows with managed session storage.
5 min read·AWS Blog
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awsai mlPractitioner

AWS Price Cuts and New Monitoring Tools: What You Need to Know

AWS has slashed prices for GPT models in Bedrock, making advanced AI more accessible. With an 80% reduction in on-demand inference prices for GPT-5.6 Luna, it's a game changer for developers. Plus, CloudWatch now offers managed collectors for Prometheus metrics, simplifying your monitoring strategy.

  • →Leverage the 80% price reduction for GPT-5.6 Luna to enhance AI capabilities in your applications.
  • →Utilize CloudWatch's managed collectors for Prometheus metrics to simplify your monitoring setup.
5 min read·AWS Blog
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Unlocking AWS Innovations: Claude Sonnet 5 and Enhanced WorkSpaces for AI

AWS is rolling out powerful updates that can transform your cloud strategy. With Claude Sonnet 5 now available and Amazon WorkSpaces enabling AI agents to operate seamlessly, you’ll want to dive into these features. Discover how these tools can enhance your productivity and efficiency.

  • →Leverage Claude Sonnet 5 for advanced coding and AI tasks at scale.
  • →Utilize Amazon WorkSpaces to enable AI agents to access desktop applications securely.
5 min read·AWS Blog
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Designing AI-Powered Customer Experiences with Amazon Connect

Amazon Connect now allows business teams to create AI-driven customer experiences without writing a single line of code. The new Agentic CX designer offers a no-code canvas that transforms how customer interactions are built and managed.

  • →Leverage the Agentic CX designer to create AI-powered experiences without coding.
  • →Utilize Live Sync for real-time customer interaction updates.
3 min read·AWS Blog
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awsai mlPractitioner

AWS Innovations: Local Zones, Grok 4.3, and AI Security Unveiled

AWS continues to evolve with significant updates that impact how you manage data and build applications. The introduction of the Local Zone in Hanoi allows for local data residency, while Grok 4.3 enhances generative AI capabilities. Dive into the details that can streamline your operations.

  • →Enable the Hanoi Local Zone (ap-southeast-1-han-1a) for local data residency.
  • →Utilize the ModifyAvailabilityZoneGroup API to manage availability zones effectively.
5 min read·AWS Blog
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awsai mlPractitioner

AWS Summit 2026: Game-Changing Announcements You Can't Ignore

The AWS Summit in New York unveiled groundbreaking tools that will redefine how you manage AI and security in production. Notably, Amazon Bedrock AgentCore allows you to build production-grade AI agents in minutes without complex coding. Dive in to discover how these innovations can streamline your workflows.

  • →Leverage Amazon Bedrock AgentCore to build AI agents quickly without coding orchestration loops.
  • →Utilize AWS Continuum to prioritize and manage code vulnerabilities effectively.
5 min read·AWS Blog
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Streamline AI Development with Amazon Bedrock Managed Knowledge Base

Amazon Bedrock Managed Knowledge Base is a game-changer for enterprise AI applications. It simplifies the integration of proprietary data with six native data connectors, enabling faster and more accurate outcomes. Discover how this service can transform your AI strategy.

  • →Utilize six native data connectors for seamless data ingestion.
  • →Leverage Smart Parsing for optimal accuracy in data handling.
5 min read·AWS Blog
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awsai mlPractitioner

Harnessing Real-Time Knowledge with Web Search on Amazon Bedrock AgentCore

Unlock the potential of your AI agents with Web Search on Amazon Bedrock AgentCore. This tool grounds responses in current, cited web knowledge, ensuring accuracy without data egress from your AWS environment. Dive into how the Model Context Protocol (MCP) facilitates this seamless integration.

  • →Utilize Web Search to ground AI responses in real-time, cited web knowledge.
  • →Implement the Model Context Protocol (MCP) for effective query handling.
5 min read·AWS Blog
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awsai mlPractitioner

Monetizing AI Traffic: AWS WAF's New Edge Capability

AWS WAF now enables content owners to charge AI bots for access to their data. By leveraging the Monetize rule, you can return an HTTP 402 Payment Required response with a machine-readable price manifest. This is a game changer for content monetization strategies.

  • →Enable AWS WAF Bot Control at Common or Targeted level on your CloudFront distribution.
  • →Configure the Monetize rule to return an HTTP 402 Payment Required response for AI bot requests.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking Mythos-Class Capabilities with Anthropic Claude Fable 5 on AWS

Anthropic Claude Fable 5 brings advanced AI capabilities to AWS, designed for complex tasks that previous models struggled with. With built-in safeguards and a requirement for data sharing, this model is a game-changer for developers looking to leverage AI in production environments.

  • →Opt into data sharing using the Data Retention API to access Claude Fable 5.
  • →Leverage the model's ability to handle complex tasks without constant intervention.
5 min read·AWS Blog
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