Remove Sovereignty
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Train and deploy ML models in a multicloud environment using Amazon SageMaker

AWS Machine Learning

Or an organization may be operating in a Region where a primary cloud provider is not available, and in order to meet the data sovereignty or data residency requirements, they can use a secondary cloud provider. Prerequisites You should have the following prerequisites: An AWS account. Export the PyTorch model as an ONNX model.

Scripts 99
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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

AWS Machine Learning

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.