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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. This time efficiency translates to significant cost savings and optimized resource allocation in the review process.

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

AWS Machine Learning - AI

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. The Lambda function processes the OpenSearch Service results and formats them for the Amazon Bedrock agent. Python 3.9 or later Node.js

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Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning - AI

In this post, we provide a step-by-step guide with the building blocks needed for creating a Streamlit application to process and review invoices from multiple vendors. The results are shown in a Streamlit app, with the invoices and extracted information displayed side-by-side for quick review.

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Y Combinator widens its bet in edtech in latest batch

TechCrunch

In its latest batch, the famed accelerator had its highest number of edtech startups yet: 14 companies from around the world, working on everything from teacher monetization to homework apps to ways to train software engineers in an affordable fashion. Codingal: An afterschool program for Indian kids to learn coding.

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Accelerate IaC troubleshooting with Amazon Bedrock Agents

AWS Machine Learning - AI

Troubleshooting infrastructure as code (IaC) errors often consumes valuable time and resources. This post demonstrates how you can use Amazon Bedrock Agents to create an intelligent solution to streamline the resolution of Terraform and AWS CloudFormation code issues through context-aware troubleshooting.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning - AI

Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. The pre-annotation Lambda function can process the input manifest file before data is presented to annotators, enabling any necessary formatting or modifications. On the SageMaker console, choose Create labeling job.

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning - AI

Some of the challenges in capturing and accessing event knowledge include: Knowledge from events and workshops is often lost due to inadequate capture methods, with traditional note-taking being incomplete and subjective. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

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