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

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.

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Using Amazon Q Business with AWS HealthScribe to gain insights from patient consultations

AWS Machine Learning - AI

During re:Invent 2023, we launched AWS HealthScribe , a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech recognition and generative AI to automatically create preliminary clinician documentation.

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Meet the newest crypto builders from web3 accelerator Alliance DAO’s demo day

TechCrunch

It seems like every time a demo day ends , there’s a new one waiting around the corner — and as you know, TechCrunch is no stranger to covering them. But today we’re highlighting the demo day for a new wave of crypto projects and teams who participated in the latest cohort for Alliance DAO, a web3 accelerator and builder community.

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Ducklake: A journey to integrate DuckDB with Unity Catalog

Xebia

Unity Catalog Authentication : At the time of initial development we used Unity Catalog 0.1.0. Jaffle Shop Demo To demonstrate our setup, we’ll use the jaffle_shop example. Jaffle shop is a fictional e-commerce store often used for dbt demos. In the next post, we’ll look into setting up Ducklake in AWS. What’s Next?

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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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Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning - AI

In this post, we create a computer use agent demo that provides the critical orchestration layer that transforms computer use from a perception capability into actionable automation. You can recreate this example in the us-west-2 AWS Region with the AWS Cloud Development Kit (AWS CDK) by following the instructions in the GitHub repository.

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