Foundation models made catalog-wide demand forecasting easy; the hard part is now acting on the forecast. This post builds a closed detect-decide-act loop…
Tag: Artificial Intelligence
Optimizing cost and latency with Amazon Bedrock prompt caching
Prompt caching in Amazon Bedrock can cut input token costs by up to 90% when you repeatedly send the same context to foundation models. This post walks…
Build an AI-powered product tagging system with Amazon SageMaker serverless model customization
Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning…
Announcing instance preference lists for Amazon SageMaker AI training jobs
Amazon SageMaker AI now offers instance preference lists for training and processing jobs. Specify an ordered list of up to five instance types, and…
Abnormal AI: Amazon Bedrock AgentCore for agentic email security at scale
Learn how Abnormal AI deployed Amazon Bedrock AgentCore Code Interpreter as an ephemeral compute scratch pad for the agents behind its real-time email…
Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore
Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post…
How Ninth Wave built AI-powered open finance onboarding on Amazon Bedrock
Learn how Ninth Wave built Compass, a multi-agent AI onboarding assistant on Amazon Bedrock AgentCore that validates bank APIs against Financial Data…
The generative AI customization spectrum: From prompt engineering to custom models on AWS
Pick the right generative AI customization approach on AWS with an 8-step decision framework, from prompt engineering and RAG to fine-tuning, continued…
Automate replenishment with MMF, Databricks Genie, and Amazon Quick
Foundation models made catalog-wide demand forecasting easy; the hard part is now acting on the forecast. This post builds a closed detect-decide-act loop…
Reduce inference cold starts on Amazon SageMaker HyperPod with model caching
Amazon SageMaker HyperPod now supports model caching for inference, which pre-loads model weights and container images onto cluster nodes so pods read…