Amazon confirmed an investment of up to $25 billion in Anthropic, in addition to $8 billion already invested, for an expanded partnership centered on AI infrastructure, with Anthropic committing to use AWS technologies for a decade. This deal reveals the direction of AI, the infrastructure arms race, and Anthropic's commercial rise.
Stratoclave is an open-source gateway designed to manage and track the usage of AI models on Amazon Bedrock, including Claude Code and OpenAI's codex. It provides per-user credit management without needing complex backend services, operating as a FastAPI service on AWS ECS Fargate.
This post provides a practical guide combining learnings from LangChain and Anthropic to evaluate deep AI agents. It details how to apply evaluation patterns, build offline evaluations with pytest and LangSmith, and configure online monitoring using a text-to-SQL agent with Amazon Bedrock.
This post details the collaboration between AWS Generative AI Innovation Center and Works Human Intelligence to develop two AI agents using Amazon Bedrock AgentCore. The project successfully addressed challenges, reducing costs by up to 97% and enhancing operational efficiency.
This post demonstrates building an AI-powered recruitment assistant using Amazon Bedrock to enhance candidate evaluation and generate personalized interview questions. It provides data-driven insights for hiring decisions and a reference architecture for learning purposes.
This content differentiates between basic AI model training and production-grade AI infrastructure, emphasizing the need for a robust pipeline. It details the four essential layers for a production AI platform and outlines a full deployment workflow on AWS.
The author achieved a perfect score on the AWS Certified AI Practitioner (AIF-C01) exam by employing a four-layer study method involving video lectures, reading, hands-on labs, and practice exams. This content lists all free and paid resources used, emphasizing the increasing necessity of AI skills in cloud, DevOps, and engineering roles.
U.S. Bank is strategically migrating its critical applications to Amazon Web Services (AWS) to bolster its AI-enabled banking infrastructure. This move reflects a broader industry transformation, allowing the bank to meet the computational demands of modern AI applications and gain competitive differentiation.
Amazon SageMaker AI now supports OpenAI-compatible API for real-time inference endpoints. This allows users of OpenAI SDK, LangChain, or Strands Agents to invoke SageMaker models by only changing their endpoint URL, eliminating the need for custom clients or code rewrites.
The content discusses the essential building blocks for training and inference of foundation models on the AWS platform. It explores the necessary components for implementing and operating these models.
This case study details how a production-ready customer support chatbot was built in just 6 hours using the AYW workflow, significantly faster than traditional estimates. It highlights AYW's guided decision-making process for architecture and technology choices, covering aspects like concurrency, integrations, multilingual support, and compliance.
Strands Agents has released version 1.0 of its TypeScript SDK, eliminating the need for language bridges in TypeScript codebases for AI agent development. This full framework supports running agents in the browser and features Zod-validated tools.
The author developed a Telegram bot that enables users to set up an AI agent on AWS entirely from their phone in about 30 minutes. This bot simplifies the complex cloud server and AI agent deployment process, which traditionally causes many users to give up.
This content details TP-Link's journey in building its global infrastructure at scale, leveraging AWS's edge computing and data security solutions. It explores how the company implemented these technologies to optimize its operations and protect its data.
The next generation of Amazon OpenSearch Serverless has been announced, emphasizing its design for enhancing Agentic AI applications. This AWS update promises to optimize AI utilization.
Jabil is undergoing an AI-driven transformation, evolving from pilot projects to a complete paradigm shift. This AI initiative is powered by Amazon Web Services.
Salesforce and AWS are collaborating to build the foundation of Agentic AI. This partnership aims to develop the underlying infrastructure for autonomous artificial intelligence.
Today, we are excited to announce the general availability of Claude Platform on AWS. This new service provides customers direct access to Anthropic's native Claude Platform experience through their AWS account, requiring no separate credentials, contracts, or billing relationships.
This post details how NarrateAI, an AI-powered conversational assistant, was built using Amazon Bedrock AgentCore to deliver business intelligence at scale for AWS SMGS. It covers the two-layer architecture, specialized AI agents for routing and validation, and key engineering patterns for production deployment.
The Cisco and AWS partnership aims to address security, visibility, and compliance challenges when scaling AI agents. This post explores overcoming these AI security challenges through automated scanning and unified governance.