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How to Access Phi-4 Using Hugging Face?

Analytics Vidhya

In this article, well walk you through the steps to access and use Phi-4, from creating a Hugging Face account to generating outputs with the model. Well also explore key features, including its optimized performance […] The post How to Access Phi-4 Using Hugging Face? appeared first on Analytics Vidhya.

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How to Access OpenAI o1?

Analytics Vidhya

This […] The post How to Access OpenAI o1? We have been waiting for GPT-5 for so long, and now OpenAI has released its fact-checking and high reasoning model—OpenAI o1, with a code name of Strawberry. appeared first on Analytics Vidhya.

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OpenAI’s Audio Models: How to Access, Features, Applications, and More

Analytics Vidhya

These advanced voice models, released on API, enable developers worldwide to build flexible and reliable voice agents much more easily. […] The post OpenAIs Audio Models: How to Access, Features, Applications, and More appeared first on Analytics Vidhya.

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How to Access Stable Diffusion 3.5?

Analytics Vidhya

Let’s explore these models, learn how to access them, and use them for inference to see what Stable Diffusion brings to the table this time around. Overview Stable […] The post How to Access Stable Diffusion 3.5? These models are customizable and can run on consumer hardware. appeared first on Analytics Vidhya.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

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OpenAI Provides Access For GPT-4

Analytics Vidhya

Through its API, the business is providing developers with access to this ground-breaking technology. Access to GPT-4 will be opened up to new developers by the end of the month, but existing OpenAI API developers with a […] The post OpenAI Provides Access For GPT-4 appeared first on Analytics Vidhya.

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How BMW streamlined data access using AWS Lake Formation fine-grained access control

AWS Big Data

However, the initial version of CDH supported only coarse-grained access control to entire data assets, and hence it was not possible to scope access to data asset subsets. This led to inefficiencies in data governance and access control.

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How ZoomInfo Helps Overcome the Top Pain Points of Inside Sales

With more access to user reviews, analyst opinion, and industry research, decision-makers are more informed than ever while navigating what is now known as the “buyer’s journey.”. Recent digital transformation has shifted the B2B landscape by ushering in the era of buyer empowerment.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data.

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Build Your Open Data Lakehouse on Apache Iceberg

Speaker: Veena Vasudevan and Jason Hughes

By moving analytic workloads to the data lakehouse you can save money, make more of your data accessible to consumers faster, and provide users a better experience. With data stored in vendor-agnostic files and table formats like Apache Iceberg, the open lakehouse is the best architecture to enable data democratization.

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Ultimate Guide to the Cloud Data Lake Engine

This guide describes how to evaluate cloud data lake engine offerings based on their ability to deliver on their promise of improving performance, data accessibility, and operational efficiency as compared with earlier methods of querying the data lake. Key takeaways from the guide include: Why you should use a cloud data lake engine.

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The Definitive Guide to Embedded Analytics

Access the Definitive Guide for a one-stop-shop for planning your application’s future in data.

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Building Best-in-Class Enterprise Analytics

Speaker: Anthony Roach, Director of Product Management at Tableau Software, and Jeremiah Morrow, Partner Solution Marketing Director at Dremio

A self-service platform for data exploration and visualization that broadens access to analytic insights. As a result, these two solutions come together to deliver: Lightning-fast BI and interactive analytics directly on data wherever it is stored. A seamless and efficient customer experience.

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5 Things a Data Scientist Can Do to Stay Current

Collecting and accessing data from outside sources. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value. Read the ebook to get more information about staying up to speed with the latest technologies in a rapidly evolving AI environment.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

The value a semantic layer brings to make data more accessible to data scientists and BI users in their tools of choice. Extending analysis-ready data to all of your business stakeholders at scale. Leveraging metadata (labels, annotations) for deep dimensional analysis.