In this tutorial, we implement an end-to-end workflow for Salesforce CodeGen. We load a CodeGen model from Hugging Face, prepare it for code generation, and use it to generate Python functions from ...
Tutorials are short examples that serve as an introduction to the KTT framework. Each tutorial covers a specific part of the API. All tutorials are available for both OpenCL and CUDA backends. Most of ...
In this tutorial, we delve into CuPy as a powerful GPU-accelerated alternative to NumPy for high-performance numerical computing in Python. We start by inspecting the available CUDA device, checking ...
It also includes automatic tuning, caching, and a Pythonic interface for ease of use. Tilus is pronounced as tie-lus, /ˈtaɪləs/. Tilus depends on cuda-python. If your GPU driver is older than ...
You moved your model to the GPU. You watched nvidia-smi climb toward 100%. You assumed you were done. You probably aren’t. GPU utilization is a coarse, 100ms-sampled metric. A GPU can report 80% ...
Final Project: self-selected project on the parallel platform of your choosing. Assignment 1 must be performed individually. Assignments 2-4, as well as the final project, may be completed and handed ...
This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...
Explore NVIDIA's free AI courses available in 2025, all completable in under eight hours. Learn to build RAG Agents for large language models, enhancing productivity through informed user interactions ...
Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...
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