Artificial Intelligence

Safely Releasing Frontier Models to Customers

Safely Releasing Frontier Models to Customers

It’s our goal for AWS to be the most secure place to run any workload, and in support of that we’ve been deeply investing in security across our services since AWS’s inception more than two decades ago. Our AI services like Amazon Bedrock are built on this foundation and with the same focus. 

Build efficient agents with knowledge distillation on Amazon SageMaker AI

Build efficient agents with knowledge distillation on Amazon SageMaker AI

Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale. This post shows how to use sequence-level knowledge distillation (SeqKD) to transfer a frontier teacher’s agentic behavior into a small, lower-cost student on Amazon SageMaker AI.

Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore

Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore

Learn how to build a multi-agent engineering assistant that compresses aerospace component substitution evaluation from days to minutes, using Amazon Nova Multimodal Embeddings, Amazon Bedrock AgentCore, and the Strands Agents SDK to assemble substitution evidence while keeping the engineer as the decision-maker.

How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock

How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock

Circle K’s DevOps team cut incident triage from 45-60 minutes to under 15 by building an agentic triage system on Amazon Bedrock. This post walks through the architecture, the initial Amazon Bedrock Flows implementation, the migration to Amazon Bedrock AgentCore, and the lessons learned from scaling it.

Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

This post presents a five-stage operating model for managing Amazon Bedrock cost: attribute every dollar to an owner, make every request observable, enforce budgets, optimize platform defaults, and operate a review cadence. Written for FinOps and platform engineering teams.

Preview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime

Preview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime

Amazon Bedrock AgentCore Session endpoints give each runtime session an authenticated URL that forwards any HTTP method, path, and WebSocket connection to the ports you allow. In this post, you deploy a coding agent that keeps a Vite website running in its session, then watch the live site update in your browser as the agent edits files.

Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US)

Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US)

The ChatGPT desktop app is now available on Amazon Bedrock in AWS GovCloud (US). This post walks through a controlled local deployment that routes model inference to Amazon Bedrock in AWS GovCloud (US-West) using API-mode sign-in, a managed device policy, a named AWS profile, and network restrictions, so a security team can validate it before broader use.

Building intent-driven UI testing with Amazon Nova Act

Building intent-driven UI testing with Amazon Nova Act

Epsilon’s Agentic Platform team delivers UI testing as a managed, multi-tenant service built on Amazon Nova Act and Amazon Bedrock AgentCore Browser Tool. Tests are written in plain English and run on browsers managed by AWS, giving every product team resilient, intent-driven testing with zero per-team infrastructure overhead.