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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning

Standard development best practices and effective cloud operating models, like AWS Well-Architected and the AWS Cloud Adoption Framework for Artificial Intelligence, Machine Learning, and Generative AI , are key to enabling teams to spend most of their time on tasks with high business value, rather than on recurrent, manual operations.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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

AWS Machine Learning

Many AWS customers align to industry standard frameworks, such as the NIST Cybersecurity Framework. Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies. Ram Vittal is a Principal ML Solutions Architect at AWS.

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NeMo Retriever Llama 3.2 text embedding and reranking NVIDIA NIM microservices now available in Amazon SageMaker JumpStart

AWS Machine Learning

NIM microservices provide straightforward integration into generative AI applications using industry-standard APIs and can be deployed with just a few lines of code, or with a few clicks on the SageMaker JumpStart console. In the following section, we use a sample text to do an inference request.

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