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GenerativeAIExamples
Jupyter Notebook

GenerativeAIExamples

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

by NVIDIA · GitHub
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gpu-accelerationlarge-language-modelsllmApache-2.0Jupyter Notebook
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Speed up your AI projects by integrating with NVIDIA tools and following example workflows.

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2026-07-072026-08-31
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📄 About

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

GenerativeAIExamples has 4.2k stars on GitHub. It has been forked 1.1k times. GenerativeAIExamples is written mainly in Jupyter Notebook. It has been in active development since 2023. GenerativeAIExamples is available under the Apache-2.0 license. Its main topics are gpu-acceleration, large-language-models, llm, llm-inference.

Frequently asked questions

What is GenerativeAIExamples?

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Is GenerativeAIExamples open source?

GenerativeAIExamples is an open-source project. It is released under the Apache-2.0 license.

Is GenerativeAIExamples free?

Yes. GenerativeAIExamples is free and open source — you can use, modify and self-host it.

What license does GenerativeAIExamples use?

GenerativeAIExamples is available under the Apache-2.0 license.

What language is GenerativeAIExamples written in?

GenerativeAIExamples is written mainly in Jupyter Notebook.

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