Cyrus Wong

🌍 Making Learning Fun and Accessible: How Gemini 3.0 Transforms Presentations for Global Education“
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Transform DevOps practice with Kiro AI-powered agents | Amazon Web Services In this post, we introduce you to Kiro, an agentic AI development service, and show you how it can save you hours on your daily automation tasks. Learn how the Kiro command line interface (CLI)…

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Streamline AI agent tool interactions: Connect API Gateway to AgentCore Gateway with MCP | Amazon Web Services AgentCore Gateway now supports API GatewayAs organizations explore the possibilities of agentic applications, they continue to navigate challenges of using enterprise data as context in invocation…

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Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models | Amazon Web Services Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.

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New serverless customization in Amazon SageMaker AI accelerates model fine-tuning | Amazon Web Services Accelerate AI model development with new training features that enable rapid recovery from failures and automatic scaling based on resource availability.

New serverless customization in Amazon SageMaker AI accelerates model fine-tuning | AWS News Blog aws.amazon.com/blogs/aws/ne...

Introducing checkpointless and elastic training on Amazon SageMaker HyperPod | Amazon Web Services Accelerate AI model development with new training features that enable instant recovery from failures and automatic scaling based on resource availability.

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Build multi-step applications and AI workflows with AWS Lambda durable functions | Amazon Web Services New Lambda capability lets you build applications that coordinate multiple steps reliably over extended periods—from seconds to up to one year—without paying for idle compute time when waiting for…

Build multi-step applications and AI workflows with AWS Lambda durable functions | AWS News Blog aws.amazon.com/blogs/aws/bu...

Introducing Amazon Nova 2 Lite, a fast, cost-effective reasoning model | Amazon Web Services New fast, cost-effective model supports extended thinking with adjustable reasoning depth, letting you control the balance between speed, intelligence, and cost while building AI applications for…

Introducing Amazon Nova 2 Lite, a fast, cost-effective reasoning model | AWS News Blog aws.amazon.com/blogs/aws/in...

Introducing Amazon Nova Forge: Build your own frontier models using Nova | Amazon Web Services New program gives organizations unprecedented access to Nova model training, enabling them to build custom frontier models that deeply embed domain expertise without the traditional barriers of cost,…

Introducing Amazon Nova Forge: Build your own frontier models using Nova | AWS News Blog aws.amazon.com/blogs/aws/in...

Introducing Amazon Nova 2 Sonic: Our new speech-to-speech model for conversational AI | Amazon Web Services Build more natural voice interactions with enhanced speech-to-speech AI—now featuring multilingual conversations, dynamic speech control, crossmodal inputs, and improved telephony integration while...

Introducing Amazon Nova 2 Sonic: Our new speech-to-speech model for conversational AI | AWS News Blog aws.amazon.com/blogs/aws/in...

Multi-Agent collaboration patterns with Strands Agents and Amazon Nova | Amazon Web Services In this post, we explore four key collaboration patterns for multi-agent, multimodal AI systems – Agents as Tools, Swarms Agents, Agent Graphs, and Agent Workflows – and discuss when and how to apply…

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Build more accurate AI applications with Amazon Nova Web Grounding | Amazon Web Services AWS announced Amazon Nova Web Grounding, a new built-in tool for Nova models on Amazon Bedrock that automatically retrieves current, cited information to reduce AI hallucinations and improve accuracy…

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How to build reliable AI workflows with agentic primitives and context engineering See how this three-part framework will turn AI into a repeatable and reliable engineering practice.

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Make agents a reality with Amazon Bedrock AgentCore: Now generally available | Amazon Web Services Learn why customers choose AgentCore to build secure, reliable AI solutions using their choice of frameworks and models for production workloads.

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Accelerate your data and AI workflows by connecting to Amazon SageMaker Unified Studio from Visual Studio Code | Amazon Web Services In this post, we demonstrate how to connect your local VS Code to SageMaker Unified Studio so you can build complete end-to-end data and AI workflows while working in your preferred development…

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Accelerate your data and AI workflows by connecting to Amazon SageMaker Unified Studio from Visual Studio Code | Amazon Web Services In this post, we demonstrate how to connect your local VS Code to SageMaker Unified Studio so you can build complete end-to-end data and AI workflows while working in your preferred development…

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Introducing an Interactive Code Review Experience with Amazon Q Developer in GitHub | Amazon Web Services Code reviews are one of the most valuable rituals in software development. They help ensure quality, maintain consistency, and foster growth as engineers. But they’re also one of the most time…

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Introducing an Interactive Code Review Experience with Amazon Q Developer in GitHub | Amazon Web Services Code reviews are one of the most valuable rituals in software development. They help ensure quality, maintain consistency, and foster growth as engineers. But they’re also one of the most time…

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#AWS TechFest – Generative #AI #HongKong #雲端系統及數據中心管理高級文憑 #hkiit live show

Join the coming #awscommunity day #HongKong or #awsreinvent to learn #aws #genai with #robotics
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Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes | Amazon Web Services This post is the second part of the GPT-OSS series focusing on model customization with Amazon SageMaker AI. In Part 1, we demonstrated fine-tuning GPT-OSS models using open source Hugging Face…

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Introducing Amazon Bedrock AgentCore Identity: Securing agentic AI at scale | Amazon Web Services In this post, we explore Amazon Bedrock AgentCore Identity, a comprehensive identity and access management service purpose-built for AI agents that enables secure access to AWS resources and…

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Introducing Amazon Bedrock AgentCore Identity: Securing agentic AI at scale | Amazon Web Services In this post, we explore Amazon Bedrock AgentCore Identity, a comprehensive identity and access management service purpose-built for AI agents that enables secure access to AWS resources and…

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Introducing Amazon Bedrock AgentCore Gateway: Transforming enterprise AI agent tool development | Amazon Web Services In this post, we discuss Amazon Bedrock AgentCore Gateway, a fully managed service that revolutionizes how enterprises connect AI agents with tools and services by providing a centralized tool server…

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Effectively building AI agents on AWS Serverless | Amazon Web Services Imagine an AI assistant that doesn’t just respond to prompts – it reasons through goals, acts, and integrates with real-time systems. This is the promise of agentic AI. According to Gartner, by 2028…

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Amazon Bedrock AgentCore Memory: Building context-aware agents | Amazon Web Services In this post, we explore Amazon Bedrock AgentCore Memory, a fully managed service that enables AI agents to maintain both immediate and long-term knowledge, transforming one-off conversations into…

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Introducing AWS Cloud Control API MCP Server: Natural Language Infrastructure Management on AWS | Amazon Web Services Today, we’re officially announcing the AWS Cloud Control API (CCAPI) MCP Server. This MCP server transforms AWS infrastructure management by allowing developers to create, read, update, delete, and…

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Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries | Amazon Web Services Released on August 5, 2025, OpenAI’s GPT-OSS models, gpt-oss-20b and gpt-oss-120b, are now available on AWS through Amazon SageMaker AI and Amazon Bedrock. In this post, we walk through the process…

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