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Source channel @githubtrending · Post #14985 · Jul 22

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#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

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ChatGPT AI Technology News

@chatgpt_officialnews · Post #186 · 07/10/2025, 01:30 PM

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🖼Big Update: Smarter, Sharper AI Images! Hey NeuralHub fam! We just rolled out a major upgrade to our image generation system — and it's 🔥 ✨What’s new? 1️⃣More accurate prompts 2️⃣Sharper, cleaner visuals 3️⃣Fewer weird hands 🐸 4️⃣Better understanding of faces, scenes, and details. Whether you're creating a logo, a character, or just having fun — the results are now way more realistic and on-point.🎯 Go try it now and see the difference for yourself! ➖➖➖➖🔻 🧠 BOT: @Chatgpt_OfficialBOT 💎@Chatgpt_OfficialNews #️⃣#AIImages#NeuralHubAI#ImageGeneration#AIPower ➖➖➖➖🔺

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