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The LLM Land Grab: How AWS, Azure, and GCP Are Sparring Over AI

Towards AI

Last Updated on August 11, 2023 by Editorial Team Author(s): Tabrez Syed Originally published on Towards AI. Today, a similar dynamic is playing out in the world of large language models (LLMs) and cloud computing. But much like the Razr, access to the most advanced models is limited to specific cloud platforms.

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10 edge computing innovators to keep an eye on in 2023

Dataconomy

This is particularly true in the field of edge computing, where the need for innovative solutions has never been more pressing. Top 10 edge computing companies to watch in 2023 Let’s get to know the top 10 edge computing companies to watch in 2023!

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5 Data Engineering and Data Science Cloud Options for 2023

ODSC - Open Data Science

By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware. As such, here are a few data engineering and data science cloud options to make your life easier.

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Top NLP Skills, Frameworks, Platforms, and Languages for 2023

ODSC - Open Data Science

We looked at over 25,000 job descriptions for jobs related to NLP, and here are the most important skills, frameworks, programming languages, and cloud services that you should know for careers in NLP. NLP Skills for 2023 These skills are platform agnostic, meaning that employers are looking for specific skillsets, expertise, and workflows.

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8 steps to build a successful multicloud strategy

IBM Journey to AI blog

According to a recent forecast from Gartner (link resides outside ibm.com) worldwide end-user spending on public cloud services is expected to grow 20.4% billion in 2023. A multicloud is a cloud computing model that incorporates multiple cloud services from more than one of the major cloud service providers (CSPs)—e.g.,

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services.

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The advantages and disadvantages of private cloud 

IBM Journey to AI blog

Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. What is private cloud ?