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Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

Favorite Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. It provides access to the most comprehensive set of tools for each step of ML development,

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Shared by AWS Machine Learning December 15, 2023

Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions

Favorite Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. ML operations, known as MLOps, focus on streamlining, automating, and monitoring ML models throughout their lifecycle. Building

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Shared by AWS Machine Learning December 14, 2023

2023 in review: many reasons to celebrate

Favorite The year of 2023 was a busy one for the Open Source Initiative (OSI), as we celebrated the 25th Anniversary of Open Source while looking towards present and future challenges and opportunities. Our work has revolved around 3 grand areas: licensing and legal, policy and standards, and advocacy and

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Shared by voicesofopensource December 13, 2023