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Category: Machine learning

January 28, 2025Machine learning

Optimizing AI responsiveness: A practical guide to Amazon Bedrock latency-optimized inference

In production generative AI applications, responsiveness is just as important as the […]

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January 28, 2025Machine learning

Develop a RAG-based application using Amazon Aurora with Amazon Kendra

Generative AI and large language models (LLMs) are revolutionizing organizations across diverse […]

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January 27, 2025Machine learning

Create a SageMaker inference endpoint with custom model & extended container

Amazon SageMaker provides a seamless experience for building, training, and deploying machine […]

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January 27, 2025Machine learning

Image and video prompt engineering for Amazon Nova Canvas and Amazon Nova Reel

Amazon has introduced two new creative content generation models on Amazon Bedrock: […]

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January 24, 2025Machine learning

Security best practices to consider while fine-tuning models in Amazon Bedrock

Amazon Bedrock has emerged as the preferred choice for tens of thousands […]

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January 24, 2025Machine learning

Secure a generative AI assistant with OWASP Top 10 mitigation

A common use case with generative AI that we usually see customers […]

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January 23, 2025Machine learning

Streamline custom environment provisioning for Amazon SageMaker Studio: An automated CI/CD pipeline approach

Attaching a custom Docker image to an Amazon SageMaker Studio domain involves […]

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January 23, 2025Machine learning

Enhance your customer’s omnichannel experience with Amazon Bedrock and Amazon Lex

The rise of AI has opened new avenues for enhancing customer experiences […]

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January 22, 2025Machine learning

Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

Amazon Bedrock Flows offers an intuitive visual builder and a set of […]

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January 22, 2025Machine learning

Video security analysis for privileged access management using generative AI and Amazon Bedrock

Security teams in highly regulated industries like financial services often employ Privileged […]

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