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MasterCard DNS Error Went Unnoticed for Years

Hacker News

MasterCard.com relies on five shared Domain Name System (DNS) servers at the Internet infrastructure provider Akamai [DNS acts as a kind of Internet phone book, by translating website names to numeric Internet addresses that are easier for computers to manage]. Caturegli said the domains all resolve to Internet addresses at Microsoft.

Azure 182
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Complete Guide of Quantum Computing Resources

Data Science 101

Here is a large listing of resources for learning about quantum computing.

Azure 111
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Llama 3: A new milestone for Meta in the world of NLP and LLMs

Data Science Dojo

The model will be available on multiple platforms, including AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake. It can include different forms of textual information, like books, articles, and code repositories.

AI 417
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More in store with IBM Storage Virtualize

IBM Journey to AI blog

So, if storage is replicated on AWS, an instance of IBM Storage Virtualize created on AWS as a Virtual Machine creates an instance of visualization into the storage with all the management of that data becoming consistent across the board. Deployments can use replication for native IP into Azure, AWS and IBM Cloud.

Azure 90
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Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

Flipboard

Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. With this new feature, you can use your own identity provider (IdP) such as Okta , Azure AD , or Ping Federate to connect to Snowflake via Data Wrangler.

AWS 123
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ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for…

ODSC - Open Data Science

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. Here’s how. Check them out here.

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Emily Webber of AWS on Pretraining Large Language Models

ODSC - Open Data Science

Recently, we spoke with Emily Webber, Principal Machine Learning Specialist Solutions Architect at AWS. She’s the author of “Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS.” What gave you the idea to start writing about this book before the rise of LLMs?

AWS 52