1. Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3 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 10/27 01:56 ♡
2. Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock 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 ag 10/27 01:27 ♡
3. Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK 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 10/27 01:15 ♡
4. Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide 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 10/24 01:48 ♡
5. Orchestrating SageMaker AI endpoint auto scaling with AWS CDK Updating the Amazon Sagemaker AI real-time endpoint configuration (changing the instance type, instance count, or environment variables) causes deployments through AWS CloudFormati 10/24 00:30 ♡
6. Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps 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 patte 10/24 00:24 ♡
7. How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations Plant breeding decisions depend on data that spans genomics, field trials, imagery, environmental conditions, and model outputs. Bayer Crop Science runs hundreds of machine learnin 10/24 00:21 ♡
8. Amazon Polly delivers a major upgrade to its Generative engine Amazon Polly Generative engine now offers more natural and accurate speech output. We’re introducing an upgrade to the Amazon Polly Generative engine that delivers more expressive, 10/23 02:06 ♡
9. How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases IskayPet’s office teams had a knowledge challenge. Answers to everyday operational questions, such as a return policy, a veterinary protocol, or an onboarding step, lived in hundre 10/23 02:01 ♡
10. Announcing new ways to customize models with SageMaker AI, without managing GPUs Companies getting real results from AI aren’t only using foundation models (FMs) off the shelf. They’re customizing open-weight models using post-training techniques such as reinfo 10/23 02:00 ♡
