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Reduce Amazon SageMaker inference cost with AWS Graviton

Favorite Amazon SageMaker provides a broad selection of machine learning (ML) infrastructure and model deployment options to help meet your ML inference needs. It’s a fully-managed service and integrates with MLOps tools so you can work to scale your model deployment, reduce inference costs, manage models more effectively in production,

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Shared by AWS Machine Learning May 10, 2023

Operationalize ML models built in Amazon SageMaker Canvas to production using the Amazon SageMaker Model Registry

Favorite You can now register machine learning (ML) models built in Amazon SageMaker Canvas with a single click to the Amazon SageMaker Model Registry, enabling you to operationalize ML models in production. Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own—without requiring

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Shared by AWS Machine Learning May 10, 2023

Play I/O FLIP, our AI-designed card game

Favorite Just in time for Google I/O 2023, try out I/O FLIP, an online card game built with generative AI. View Original Source (blog.google/technology/ai/) Here.

Introducing PaLM 2

Favorite Today at I/O 2023, Google introduced PaLM 2, a new language model with improved multilingual, reasoning, and coding capabilities. View Original Source (blog.google/technology/ai/) Here.

Supercharging Search with generative AI

Favorite We’re starting with an experiment in Search Labs called SGE, Search Generative Experience, which uses generative AI. View Original Source (blog.google/technology/ai/) Here.