Agentic AI with multi-model framework using Hugging Face smolagents on AWS

Favorite This post is cowritten by Jeff Boudier, Simon Pagezy, and Florent Gbelidji from Hugging Face. Agentic AI systems represent an evolution from conversational AI to autonomous agents capable of complex reasoning, tool usage, and code execution. Enterprise applications benefit from strategic deployment approaches tailored to specific needs. These needs include managed

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Shared by AWS Machine Learning February 24, 2026

Accelerating AI model production at Hexagon with Amazon SageMaker HyperPod

Favorite This blog post was co-authored with Johannes Maunz, Tobias Bösch Borgards, Aleksander Cisłak, and Bartłomiej Gralewicz from Hexagon. Hexagon is the global leader in measurement technologies and provides the confidence that vital industries rely on to build, navigate, and innovate. From microns to Mars, Hexagon’s solutions drive productivity, quality,

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Shared by AWS Machine Learning February 24, 2026

How Sonrai uses Amazon SageMaker AI to accelerate precision medicine trials

Favorite In precision medicine, researchers developing diagnostic tests for early disease detection face a critical challenge: datasets containing thousands of potential biomarkers but only hundreds of patient samples. This curse of dimensionality can determine the success or failure of breakthrough discoveries. Modern bioinformatics use multiple omic modalities—genomics, lipidomics, proteomics, and

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Shared by AWS Machine Learning February 24, 2026

Scaling data annotation using vision-language models to power physical AI systems

Favorite Critical labor shortages are constraining growth across manufacturing, logistics, construction, and agriculture. The problem is particularly acute in construction: nearly 500,000 positions remain unfilled in the United States, with 40% of the current workforce approaching retirement within the decade. These workforce limitations result in delayed projects, escalating costs, and

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Shared by AWS Machine Learning February 24, 2026

Amazon SageMaker AI in 2025, a year in review part 2: Improved observability and enhanced features for SageMaker AI model customization and hosting

Favorite In 2025, Amazon SageMaker AI made several improvements designed to help you train, tune, and host generative AI workloads. In Part 1 of this series, we discussed Flexible Training Plans and price performance improvements made to inference components. In this post, we discuss enhancements made to observability, model customization,

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Shared by AWS Machine Learning February 21, 2026

Amazon SageMaker AI in 2025, a year in review part 1: Flexible Training Plans and improvements to price performance for inference workloads

Favorite In 2025, Amazon SageMaker AI saw dramatic improvements to core infrastructure offerings along four dimensions: capacity, price performance, observability, and usability. In this series of posts, we discuss these various improvements and their benefits. In Part 1, we discuss capacity improvements with the launch of Flexible Training Plans. We

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Shared by AWS Machine Learning February 21, 2026

Amazon Quick now supports key pair authentication to Snowflake data source

Favorite Modern enterprises face significant challenges connecting business intelligence platforms to cloud data warehouses while maintaining automation. Password-based authentication introduces security vulnerabilities, operational friction, and compliance gaps—especially critical as Snowflake is deprecating username password. Amazon Quick Sight (a capability of Amazon Quick Suite) now supports key pair authentication for Snowflake

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Shared by AWS Machine Learning February 20, 2026

Build AI workflows on Amazon EKS with Union.ai and Flyte

Favorite As artificial intelligence and machine learning (AI/ML) workflows grow in scale and complexity, it becomes harder for practitioners to organize and deploy their models. AI projects often struggle to move from pilot to production. AI projects often fail not because models are bad, but because infrastructure and processes are

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Shared by AWS Machine Learning February 20, 2026