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A secure approach to generative AI with AWS

AWS Machine Learning - AI

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. The biggest concern we hear from customers as they explore the advantages of generative AI is how to protect their highly sensitive data and investments.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning - AI

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS Machine Learning - AI

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

Years ago, Mixbook undertook a strategic initiative to transition their operational workloads to Amazon Web Services (AWS) , a move that has continually yielded significant advantages. The data intake process involves three macro components: Amazon Aurora MySQL-Compatible Edition , Amazon S3, and AWS Fargate for Amazon ECS.

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning - AI

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation , enabling organizations to quickly and effortlessly set up a powerful RAG system. On the AWS CloudFormation console, create a new stack. txt,md,html,doc/docx,csv,xls/.xlsx,pdf).

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning - AI

Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format.

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Effectively manage foundation models for generative AI applications with Amazon SageMaker Model Registry

AWS Machine Learning - AI

Amazon SageMaker , a fully managed service to build, train, and deploy machine learning (ML) models, has seen increased adoption to customize and deploy FMs that power generative AI applications. Deploy the models as SageMaker Inference endpoints that can be consumed by generative AI applications.