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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Before migrating any of the provided solutions to production, we recommend following the AWS Well-Architected Framework. For detailed deployment instructions for each routing solution, refer to the GitHub repo.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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AWS App Studio introduces a prebuilt solutions catalog and cross-instance Import and Export

AWS Machine Learning - AI

AWS App Studio is a generative AI-powered service that uses natural language to build business applications, empowering a new set of builders to create applications in minutes. Cross-instance Import and Export Enabling straightforward and self-service migration of App Studio applications across AWS Regions and AWS accounts.

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Rocket Mortgage lays foundation for generative AI success

CIO

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The rest are on premises.

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Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning - AI

The computer use agent demo powered by Amazon Bedrock Agents provides the following benefits: Secure execution environment Execution of computer use tools in a sandbox environment with limited access to the AWS ecosystem and the web. The environment container has limited access to the rest of the ecosystem and the internet.

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Revolutionize trip planning with Amazon Bedrock and Amazon Location Service

AWS Machine Learning - AI

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface.