Build Strands Agents with SageMaker AI models and MLflow | Amazon Web Services
Enterprises building AI agents often require more than what managed foundation model (FM) services can provide. They need precise control…
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Enterprises building AI agents often require more than what managed foundation model (FM) services can provide. They need precise control…
Organizations increasingly deploy custom large language models (LLMs) on Amazon SageMaker AI real-time endpoints using their preferred serving frameworks—such as…
This past week, I’ve been deep in the trenches helping customers transform their businesses through AI-DLC (AI-Driven Lifecycle) workshops. Throughout…
We’re introducing Strands Labs, a new Strands GitHub organization designed to give developers the ability to get hands-on with experimental,…
Amazon Web Services signage at the company’s 2025 developer conference in Las Vegas, Nevada. Credit: Ken Yeung Last summer, Amazon…
At Amazon.ae, we serve approximately 10 million customers monthly across five countries in the Middle East and North Africa region—United…
This post is co-written with Ranjit Rajan, Abdullahi Olaoye, and Abhishek Sawarkar from NVIDIA. AI’s next frontier isn’t merely smarter…
Agentic AI systems are rapidly expanding beyond the digital world and into the physical, where AI agents perceive, reason, and…
AWS Strands: Weaving a More Collaborative Future for AI Agents in the Industrial Stack ARC Advisory Article Source https://www.arcweb.com/blog/aws-strands-weaving-more-collaborative-future-ai-agents-industrial-stack
Many events are taking place in this period! Last week I was at the AI Week in Italy…. Article Source…