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GenerativeAIExamples
NVIDIA/GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
★4.1kstars
Jupyter Notebook
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Data & Infrastructure project leveraging gpu-acceleration and large-language-models, built with Jupyter Notebook, open-source
Who made it?Maintained by NVIDIA team, 4.1K⭐ on GitHub, #451 out of 3133 in Data & Infrastructure
Why does it exist?In the Data & Infrastructure space, gpu-acceleration workflows faced efficiency bottlenecks. GenerativeAIExamples was built by NVIDIA to address these large-language-models challenges.
What can it do?Key use cases: llm, llm-inference, microservice
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/NVIDIA/GenerativeAIExamples
🔗 github.com/NVIDIA/GenerativeAIExamples
Topics
gpu-accelerationlarge-language-modelsllmllm-inferencemicroservicenemoragretrieval-augmented-generationtensorrttriton-inference-server