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HPE Launches New Purpose-built Solutions – Powered by AMD – to Accelerate Training for Large, Complex AI Models

insideBIGDATA

Hewlett Packard Enterprise (NYSE: HPE) announced the HPE ProLiant Compute XD685 for complex AI model training tasks, powered by 5th Gen AMD EPYC™ processors and AMD Instinct™ MI325X accelerators.

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Was ist eine Vektor-Datenbank? Und warum spielt sie für AI eine so große Rolle?

Data Science Blog

Vektor-Datenbanken sind ein weiterer Typ von Datenbank, die unter Einsatz von AI (Deep Learning, n-grams, …) Wissen in Vektoren übersetzen und damit vergleichbarer und wieder auffindbarer machen. der k-Nächste-Nachbarn -Prädiktionsalgorithmus (Regression/Klassifikation) oder K-Means-Clustering. von OpenAI genutzt.

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Top 17 trending interview questions for AI Scientists

Data Science Dojo

The demand for AI scientist is projected to grow significantly in the coming years, with the U.S. AI researcher role is consistently ranked among the highest-paying jobs, attracting top talent and driving significant compensation packages. This is used for tasks like clustering, dimensionality reduction, and anomaly detection.

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Monitoring of Jobskills with Data Engineering & AI

Data Science Blog

On own account, we from DATANOMIQ have created a web application that monitors data about job postings related to Data & AI from multiple sources (Indeed.com, Google Jobs, Stepstone.de The post Monitoring of Jobskills with Data Engineering & AI appeared first on Data Science Blog.

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A RoCE network for distributed AI training at scale

Hacker News

AI networks play an important role in interconnecting tens of thousands of GPUs together, forming the foundational infrastructure for training, enabling large models with hundreds of billions of parameters such as LLAMA 3.1 The growing prevalence of AI has introduced a new era of communication demands.

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Techniques for Data Scientists to Upskill with Large Language Models

Data Science Dojo

Data scientists are continuously advancing with AI tools and technologies to enhance their capabilities and drive innovation in 2024. The integration of AI into data science has revolutionized the way data is analyzed, interpreted, and utilized. Data scientists are using NLP to make these assistants smarter and more helpful.

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An Introduction to Natural Language Processing (NLP)

Pickl AI

Well, it’s Natural Language Processing which equips the machines to work like a human. But there is much more to NLP, and in this blog, we are going to dig deeper into the key aspects of NLP, the benefits of NLP and Natural Language Processing examples. What is NLP? However, the road is not so smooth.