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What is AWS Config?

Analytics Vidhya

Introduction to AWS Config It can be easy to forget alerts in your AWS account’s health dashboard, even though you might want to check one particular alert. In particular, if you use AWS Config, the upcoming September 15, 2021, changes may stop supporting your […]. The post What is AWS Config?

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Build a Serverless News Data Pipeline using ML on AWS Cloud

KDnuggets

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

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The Best Ways for Data Professionals to Market AWS Skills in 2022

KDnuggets

Knowing your way around Amazon Web Services (AWS) is increasingly useful. Here are five ways to market your AWS skills in today’s job market.

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

AWS Machine Learning Blog

Looking back to 2021, when Anthropic first started building on AWS, no one could have envisioned how transformative the Claude family of models would be. In addition, proprietary data is never exposed to the public internet, never leaves the AWS network, is securely transferred through VPC, and is encrypted in transit and at rest.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. AWS Step Functions automatically initiate and monitor these workflows by simplifying error handling.

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Build a Serverless News Data Pipeline using ML on AWS Cloud

KDnuggets

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

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Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium

AWS Machine Learning Blog

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia. 2048 256 10.4

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