Artificial Intelligence

Category: Intermediate (200)

Optimizing agent system prompts with Amazon Bedrock AgentCore

Optimizing agent system prompts with Amazon Bedrock AgentCore

AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt optimizer’s reflector engine works and shares benchmark results for the Single Agent and Sub-Agent Reflectors.

Announcing automatic fallback via instance preference lists for Amazon SageMaker AI training jobs

Announcing instance preference lists for Amazon SageMaker AI training jobs

Amazon SageMaker AI now offers instance preference lists for training and processing jobs. Specify an ordered list of up to five instance types, and SageMaker AI automatically launches on the first type with available capacity, eliminating manual retry loops and capacity-watching scripts.

Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore

Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore

Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring GitHub and Slack authorization code grant targets, and the end-user consent flow, and shows how to review activity in AWS CloudTrail.

Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0

Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0

TwelveLabs Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, bringing fully managed natural language search to video, image, and audio content. This walkthrough shows how to build a knowledge base powered by Marengo 3.0 and run semantic queries against your media.

Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers

Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers

TorchServe is no longer maintained, leaving teams to own the entire GPU inference stack. The AWS Ray Serve Deep Learning Container is a supported, pre-tested container with the framework, GPU drivers, and serving layer already assembled. This post walks through deploying a vision-language model on Amazon EKS using the Ray Serve DLC on a single GPU node.

Automate user-level custom permissions for Amazon Quick

Automate user-level custom permissions for Amazon Quick

Amazon Quick custom permissions let you enforce least-privilege access by toggling features per user. This post walks through four patterns to automate custom permissions across the user lifecycle: a RegisterUser API parameter, account and role defaults, event-driven Amazon EventBridge and AWS Lambda automation, and a retroactive batch update script.

Pathway’s brain-inspired architecture development on Amazon SageMaker HyperPod

Pathway’s brain-inspired architecture development on Amazon SageMaker HyperPod

Pathway’s Baby Dragon Hatchling (BDH) is a brain-inspired, post-transformer architecture that reasons in latent space instead of emitting chain-of-thought tokens. See how Pathway develops and scales BDH on Amazon SageMaker HyperPod, and how BDH-CQ set a new cost-efficiency mark on the ARC-AGI-1 benchmark.