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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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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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Mosaic raises $44M to automate the construction planning process

TechCrunch

Mosaic Building Group , a Phoenix, Arizona-based construction tech startup, has raised $44 million in a Series B funding round led by Peak State Ventures. To make residential construction more scalable. The startup says it is able to do that because its technology actually automates the construction planning process.

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Formwork Labs aims to build ‘the YC of construction tech’

TechCrunch

Construction tech is one of those sectors that has not historically been considered “sexy” in a startup world that often favors glitzier technology. But construction fuels the commercial and real estate industries, which in turn impacts all of us in one way or another. Construction tech startups are poised to shake up a $1.3-trillion-dollar

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

Developer tools The solution also uses the following developer tools: AWS Powertools for Lambda – This is a suite of utilities for Lambda functions that generates OpenAPI schemas from your Lambda function code. It provides constructs to help developers build generative AI applications using pattern-based definitions for your infrastructure.

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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning - AI

In some use cases, particularly those involving complex user queries or a large number of metadata attributes, manually constructing metadata filters can become challenging and potentially error-prone. The extracted metadata is used to construct an appropriate metadata filter. model in Amazon Bedrock.

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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.