AWS outlines prompt-caching patterns for OpenAI agents on Amazon Bedrock
An AWS machine-learning blog post describes how prompt caching can reuse repeated agent context when OpenAI models are accessed through Amazon Bedrock.
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An AWS machine-learning blog post describes how prompt caching can reuse repeated agent context when OpenAI models are accessed through Amazon Bedrock.
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AWS describes a reusable AWS CDK construct that coordinates Application Auto Scaling changes before and after Amazon SageMaker AI endpoint updates.
1Password says its new 1Password for Agents platform lets users authorize AI agents to access personal accounts while keeping credentials inside the password manager.
An AWS technical post describes sending each completed sentence from an AI agent to a Kokoro-82M text-to-speech model on Amazon SageMaker AI, allowing audio playback to begin before the full response is generated.
Amazon Web Services says new Amazon SageMaker AI training session APIs let developers write custom supervised fine-tuning and reinforcement learning loops while the service manages GPU-backed execution.
An AWS post explains how healthcare organizations can use Amazon Quick in environments handling protected health information, while emphasizing that service eligibility alone does not make a deployment HIPAA compliant.
AWS says SageMaker AI training sessions are now generally available, allowing developers to write custom post-training loops while the service manages GPU allocation, distributed execution, fault recovery, and checkpoint storage.
Rescale says it built and deployed an AI-powered agent that classifies nightly end-to-end test failures and prepares remediation reports for engineer review. The company developed the system using AWS services, Strands Agents and the AI-Driven Development Lifecycle framework.
An AWS machine learning blog post describes a method for setting autoscaling thresholds for custom text-to-speech deployments on Amazon SageMaker AI using live endpoint measurements rather than preset targets.
Microsoft Research says Flint-interactive lets AI agents and developers create charts that support actions such as filtering, zooming, highlighting and cross-chart updates.
An AWS machine learning blog post describes the Adaptive Agentic Intelligence Framework, which uses small language models locally for routine tasks and Amazon Bedrock for more complex analysis.
AWS has published a walkthrough showing how torchtitan can train or fine-tune Qwen3 on a single trn2.48xlarge using three configurations: Hugging Face Transformers v5, torchtitan’s native Qwen3 implementation, and Neuron Kernel Interface mixture-of-experts kernels.
AWS says new Amazon SageMaker AI customers can create an account with an existing identity and enter a configured SageMaker Studio environment in a few steps.
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