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Favorite This post builds enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS Cloud Development Kit (AWS CDK). To see why that’s worth building, it helps to start with where ordinary Retrieval Augmented Generation (RAG) breaks down. Most RAG systems start the same way: they embed
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Shared by AWS Machine Learning October 26, 2026
Favorite Every time you spin off your agent, it has to re-read its whole life story before performing an action. Here’s how to make it remember without having to feed it the same context again. In the movie Groundhog Day, Bill Murray’s character re-lives the same February 2 every day.
Read More Shared by AWS Machine Learning October 26, 2026
Favorite Fleet-wide computer vision model lifecycle management is a problem that shows up the moment a quality inspection proof of concept succeeds. One camera and one model work fine. Then the plant asks for the same result on 40 lines, each with several cameras, and every camera sees the world
Read More Shared by AWS Machine Learning October 26, 2026
Favorite Learn AI literacy via Google’s latest AI Quests lesson on neuroscience, “Polar Peaks.” View Original Source (blog.google/technology/ai/) Here.
Favorite Plant breeding decisions depend on data that spans genomics, field trials, imagery, environmental conditions, and model outputs. Bayer Crop Science runs hundreds of machine learning (ML) model configurations against this data across crops, regions, and teams, and each run needs to be repeatable and governed. To meet that requirement,
Read More Shared by AWS Machine Learning October 23, 2026
Favorite With Amazon Quick Sight layer maps, you can now plot points and routes, like store locations across a city or flights leaving an airport. Geospatial maps help businesses spot patterns that are tied to location, like how a region is performing or where customers are concentrated. Amazon Quick Sight
Read More Shared by AWS Machine Learning October 23, 2026
Favorite 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
Read More Shared by AWS Machine Learning October 23, 2026
Favorite Most fine-tuning teaches a model to produce a better answer to a single prompt. Agentic tasks are different. An agent that files an expense report or triages a support ticket takes a sequence of actions, and each step depends on what came before. There’s rarely one correct sequence to
Read More Shared by AWS Machine Learning October 23, 2026
Favorite Organizations building AI agents face a common challenge: Every request, whether a routine status check or complex analysis, typically gets routed to a single large, expensive model. This one-size-fits-all approach can drive up API costs, introduce unpredictable latency, and remove the possibility of offline operation. Even routine queries that
Read More Shared by AWS Machine Learning October 22, 2026
Favorite Building a multi-agent system is now pretty straightforward. Taking it to production is where the real challenges begin. Thanks to open source frameworks and cloud services, you can set up an agent in a matter of days. A few tool calls, a few lines of prompt, and you have
Read More Shared by AWS Machine Learning October 22, 2026