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The Microsoft Mistral deal brings Mistral Large to Azure

Dataconomy

This collaboration underscores Microsoft’s ambition to broaden its influence within the rapidly advancing artificial intelligence sector. The introduction of Mistral AI’s flagship model, Mistral Large, exclusively on Azure AI and Mistral AI platforms, signifies a strategic expansion in our offerings.

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Amazon AWS’s barrage of Gen AI announcements aim to outdo Microsoft

Flipboard

Cloud computing giant Amazon Web Services (AWS), has until recently has been perceived as playing catch-up with its rivals Microsoft Azure and Google Cloud in the emerging field of generative AI. But over the past two days at its AWS Re:Invent conference, Amazon has taken off the gloves against its …

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Top 10 AI and Data Science Trends in 2022

Analytics Vidhya

In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Deep learning, natural language processing, and computer vision are examples […]. This article was published as a part of the Data Science Blogathon.

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Discovering the Role of Data Science in a Cloud World

Pickl AI

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. In Data Science in a Cloud World, we explore how cloud computing has revolutionised Data Science.

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How to Become a Generative AI Engineer in 2025?

Towards AI

Photo by Andrea De Santis on Unsplash Artificial Intelligence (AI) has revolutionized the way we interact with technology, and Generative AI is at the forefront of this transformation. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. What is Generative AI?

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Essential Cloud Computing Notes for Beginners

Pickl AI

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

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Boost your MLOps efficiency with these 6 must-have tools and platforms

Data Science Dojo

It is used by businesses across industries for a wide range of applications, including fraud prevention, marketing automation, customer service, artificial intelligence (AI), chatbots, virtual assistants, and recommendations. Google Cloud Platform is designed for building large-scale, mission-critical applications.