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

AWS Machine Learning Blog

What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS? What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs?

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

AWS Machine Learning Blog

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. Organizations can also use AWS Trainium and AWS Inferentia for better price-performance for running ML training jobs or inference.

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The AI rules that US policymakers are considering, explained

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And the federal government is finally getting serious about AI. Italy even briefly banned the service over privacy concerns about the training data. The Food and Drug Administration generally does not allow drugs on the market that have not been tested for safety and effectiveness. AI is getting seriously good.

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