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How NVIDIA Uses Shell

11 engineering articles about Shell from NVIDIA's engineering team

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This article explores how to train an AI agent to operate a new Command Line Interface (CLI) using synthetic data generation and reinforcement learning.
Chris Alexiuk
11 min read
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The article discusses how integrating large language models (LLMs) with knowledge graphs enhances the extraction of structured insights from unstructured data, addressing challenges faced by tradit...
Rohan Rao
15 min read
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Shell, in collaboration with NVIDIA, has developed a machine learning model using Fourier neural operators to enhance the efficiency of carbon capture and storage (CCS) site screening.
Anirban Chandra
6 min read
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The article discusses NVIDIA cuOpt, an accelerated optimization engine designed to enhance operational efficiency in logistics and supply chain management.
Moon Chung
6 min read
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The article discusses how retailers can enhance their data analytics capabilities using GPU-accelerated Apache Spark workloads on Google Cloud Dataproc.
Saurav Agarwal
12 min read
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The article provides a weekly roundup of the latest software updates, learning resources, events, and notable news from NVIDIA, focusing on advancements in game development and autonomous vehicles.
Michelle Horton
3 min read
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The article discusses the significance of edge computing, IoT, and AI in modern infrastructure, highlighting NVIDIA's role in these domains at the upcoming GTC event.
Amanda Saunders
4 min read
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The article discusses the development of a Question and Answering (QA) service utilizing Natural Language Processing (NLP) with NVIDIA NGC and Google Cloud.
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The article discusses the complexities of setting up High-Performance Computing (HPC) applications and introduces the NVIDIA HPC SDK as a solution.
Wayne Gaudin
16 min read
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This article provides a comprehensive guide on deploying a Natural Language Processing service, specifically a BERT Question-Answering model, on a Kubernetes cluster using Helm charts from NVIDIA N...
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Researchers in Japan have developed a deep learning system to identify and track individual coconut crabs, which are endangered and declining in population.
Nefi Alarcon
2 min read
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