Artificial Intelligence

Category: Technical How-to

Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge

In multi-turn reinforcement learning, your custom reward function decides what the model actually learns. This post shows how to design a composite multi-turn reward for Amazon Nova Forge, execute model-generated code safely inside it, and instrument each component to catch the pitfalls that quietly collapse a reward.

Building agentic workflows with SageMaker AI and Bedrock AgentCore

Building agentic workflows with SageMaker AI and Bedrock AgentCore

Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the model best suited to its job. This post also shows how to get token-level observability from SageMaker endpoints that Strands Agents does not instrument by default.

Monitor on-premises and multi-cloud AI agents with AgentCore Observability

Monitor on-premises and multi-cloud AI agents with AgentCore Observability

Set up Amazon Bedrock AgentCore Observability for AI agents running outside AWS: on-premises, on GCP, on Azure, or on developer machines. This walkthrough uses the AWS Distro for OpenTelemetry (ADOT) and IAM credentials to route session traces, span metrics, and token usage to the same AgentCore Observability dashboard.

Automate legacy web applications with Amazon Bedrock AgentCore Browser Tool

Automate legacy web applications with Amazon Bedrock AgentCore Browser Tool

Learn how to automate legacy web applications that need human-like interaction using Amazon Bedrock AgentCore Browser Tool and Strands Agents. This walkthrough covers a reference architecture for an AI-powered digital worker that drives legacy interfaces through secure, isolated browser sessions while preserving human oversight and full audit trails.

Part 2: Amazon Bedrock cost attribution with Amazon Athena and CUDOS

Part 2: Amazon Bedrock cost attribution with Amazon Athena and CUDOS

Learn how to visualize and analyze Amazon Bedrock cost attribution using Amazon Athena and CUDOS dashboards. This post shows how to set up CUR 2.0 with IAM principal data, query Bedrock spend by principal, project, and team, and build dashboards to track AI costs across your organization.

Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

The Amazon SageMaker AI Spaces add-on for Amazon EKS runs managed JupyterLab and Code Editor environments on the cluster your ML team already operates. This post shows how to install and configure the add-on, connect from the browser and from VS Code over SSH-over-SSM, and move your team to OpenID Connect sign-in with Amazon Cognito.

Determining playoff clinching scenarios in the NHL using constraint programming

Determining playoff clinching scenarios in the NHL using constraint programming

The AWS Generative AI Innovation Center built an automated system that uses constraint programming and custom tree search to determine, with mathematical certainty, when and how an NHL team clinches a playoff spot. The approach was validated against four full NHL seasons of officially published results.

Securing AI agents with temporal policies in Amazon Bedrock AgentCore

Securing AI agents with temporal policies in Amazon Bedrock AgentCore

Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent’s session history. Learn how to enforce workflow sequencing, prevent data fabrication, cap financial exposure, and require human approval for high-value actions.

Build visibility for Codex on Amazon Bedrock with OpenTelemetry and Amazon CloudWatch

Build visibility for Codex on Amazon Bedrock with OpenTelemetry and Amazon CloudWatch

As engineering teams adopt coding agents like Codex, leaders need visibility into adoption, consumption, and reliability. This post shows how to route Codex OpenTelemetry metrics through a local collector to Amazon CloudWatch for an AWS native view of usage by user, team, and cost center.