Customizing text content moderation with Amazon Nova

Favorite Consider a growing social media platform that processes millions of user posts daily. Their content moderation team faces a familiar challenge: their rule-based system flags a cooking video discussing “knife techniques” as violent content, frustrating users, while simultaneously missing a veiled threat disguised as a restaurant review. When they

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Shared by AWS Machine Learning October 10, 2025

Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing

Favorite This post was written with Dominic Catalano from Anyscale. Organizations building and deploying large-scale AI models often face critical infrastructure challenges that can directly impact their bottom line: unstable training clusters that fail mid-job, inefficient resource utilization driving up costs, and complex distributed computing frameworks requiring specialized expertise. These

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Shared by AWS Machine Learning October 10, 2025

Implement a secure MLOps platform based on Terraform and GitHub

Favorite Machine learning operations (MLOps) is the combination of people, processes, and technology to productionize ML use cases efficiently. To achieve this, enterprise customers must develop MLOps platforms to support reproducibility, robustness, and end-to-end observability of the ML use case’s lifecycle. Those platforms are based on a multi-account setup by

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Shared by AWS Machine Learning October 9, 2025