Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK

TutoSartup excerpt from this article:
This post builds enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS Cloud Development Kit (AWS CDK)... Enterprise agentic retrieval answers all three by putting a reasoning agent in the loop... The agent decides whether to retrieve, which knowledge base to consult, and whether to go back for more before it composes an answer... It has become an agentic capability...

AWS Weekly Roundup: Amazon Polly Generative engine, TorchNeuron for Trainium, and more (October 26, 2026)

TutoSartup excerpt from this article:
The Amazon Polly Generative engine upgrade added 14 new voices, two of them in Brazilian Portuguese... Amazon Threat Intelligence found a PHP2Shell exploitation attempt in MadPot telemetry dated October 17, four days before CVE-2026-109618 and CVE-2026-109619 were publicly disclosed, and on disclosure day proof-of-concept exploits were circulating around 02:00 UTC, roughly twelve hours before the...

Market Winners Stall as Oil Prices Revive Inflation Fears

TutoSartup excerpt from this article:
As AI-related capital expenditures continue to surge, skepticism is growing over the timing and scale of future returns, raising concerns that expectations for the sector may have become overly optimistic...Commodities and stocks continue to drive solid gains in global asset allocation strategies in 2026, based on a set of ETFs tracking the major asset classes through Friday’s close... The impl...

Book Bits: 24 October 2026

TutoSartup excerpt from this article:
● Hyperscale: The Ambition and Excess of Big Tech’s Data Empires Paris Marx Review via CNET There is no stronger metaphor for the manifestation of Big Tech’s power than the increasing sprawl of data centers... Amazon, Microsoft and Google alone control 59% of hyperscale data center capacity... In his new book available now, Hyperscale: The Ambition and Excess of Big Tech’s Data Empires, Ma...

Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

TutoSartup excerpt from this article:
Most fine-tuning teaches a model to produce a better answer to a single prompt... Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI trains models on exactly that signal... The agent calls the policy model being trained, acts in your environment over as many turns as the task needs, and reports one reward when the episode ends... Wordle is a teaching example, and frontier models alre...

Orchestrating SageMaker AI endpoint auto scaling with AWS CDK

TutoSartup excerpt from this article:
Updating the Amazon Sagemaker AI real-time endpoint configuration (changing the instance type, instance count, or environment variables) causes deployments through AWS CloudFormation or the AWS Cloud Development Kit (AWS CDK) to fail... SageMaker AI requires you to deregister the scalable target before updating the endpoint, but when you deregister it, CloudFormation can’t track the AWS Applicat...

Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps

TutoSartup excerpt from this article:
With Amazon Quick Sight layer maps, you can now plot points and routes, like store locations across a city or flights leaving an airport... Amazon Quick Sight supports this with multiple map types, including point maps, filled maps, and layer maps... When layer maps first launched, you could upload a GeoJSON file to draw custom shape layers, such as sales territories or districts, and join those s...