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How NVIDIA Uses Copilot

8 engineering articles about Copilot from NVIDIA's engineering team

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Intermediate
The article discusses the dual role of AI-enabled developer tools, highlighting both their potential to accelerate coding and the security vulnerabilities they introduce.
Becca Lynch
9 min read
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Advanced
The article discusses the integration of AI coding assistants like Cursor with NVIDIA CUDA-Q to enhance the development of scalable quantum applications.
Jin-Sung Kim
8 min read
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The article discusses the integration of advanced AI and Retrieval-Augmented Generation (RAG) techniques in high-performance computing (HPC) code development.
Harry Petty
8 min read
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Advanced
The article discusses how NVIDIA NeMo Retriever enables enterprises to transform vast amounts of unstructured data into actionable insights using generative AI.
Tanay Varshney
8 min read
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Advanced
This article provides a detailed guide on building an LLM-powered data agent for data analysis, focusing on the types of agents, their components, and a practical example of querying an SQL databas...
Tanay Varshney
11 min read
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Intermediate
NVIDIA has introduced a suite of cloud-native microservices and AI workflows aimed at enhancing retail theft prevention solutions.
Cynthia Countouris
5 min read
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Intermediate
The article discusses the challenges of cybersecurity in the context of increasing network traffic and data generation, highlighting how NVIDIA's Morpheus AI framework can enhance threat detection ...
Nicola Sessions
11 min read
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Intermediate
The article discusses the escalating costs of cybercrime and introduces NVIDIA Morpheus, a framework designed to enhance AI-accelerated cybersecurity threat detection.
Nicola Sessions
6 min read
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