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Building Resilient Public Networking on AWS: Part 2

Xebia

Deploy Secure Public Web Endpoints Welcome to Building Resilient Public Networking on AWS—our comprehensive blog series on advanced networking strategies tailored for regional evacuation, failover, and robust disaster recovery. We’ll study the advantages and limitations associated with this technique.

AWS 147
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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning - AI

For example, the training data used for BloombergGPT is 51% domain-specific documents, including financial news, filings, and other financial materials. For example, certain data sources can contain a fair number of noisy tokens; deduplication is considered a useful step to improve data quality and reduce training cost.

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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? What is Amazon AWS used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52
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A Guide to Installing John Snow Labs NLP Libraries in Air-Gapped Databricks Workspaces

John Snow Labs

In this article, we introduce a solution to set up John Snow Labs NLP Libraries in air-gapped Databricks workspaces with no internet connection and download & load the pretrained models from John Snow Labs Models Hub. Apache Spark, coupled with the Spark NLP library, offers a powerful framework for performing advanced NLP tasks at scale.

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How to prepare for the AZ- 204 Exam: An Articulated Case Study

Cloud That

Infrastructure as a Code using ARM Templates. Virtualization of Apps through Containers. Creating HTML Website using Azure App Service. Securing Cloud Solutions using Key Vault and App Configuration. Management of APIs through Azure Portal. Improving Performance using Redis Cache and CDN. TABLE OF CONTENT.

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What Is cloud security?

Lacework

Then, in the 1990s, telecommunications companies began experimenting with how they could use bandwidth more effectively through server management, optimizing infrastructure, and designing efficient applications that benefit end users. The 2000s and 2010s saw several major releases in the field of cloud computing.

Cloud 98
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5 Technical Reasons for a Cloud Analytics Migration

Datavail

In this article, we’ll explore 5 very good motivations for your company to do a technical refresh by moving to cloud analytics. As a result, you may need to purchase more on-premises resources than you use on a daily basis for these “just-in-case” scenarios. Agility and scalability. Cost of ownership.