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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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TONlines – News

@tonlines · Post #6768 · 04/14/2025, 08:19 PM

The Daily TON: Tolk and Tact Language Evolution #TON#Tolk#Tact The Daily TON discusses the latest updates to the Tolk programming language for TON, highlighting its move towards faster and easier development by introducing auto-serialization, echoing similar advancements in Tact. These changes aim to attract more developers to TON by reducing development complexities and gas fees. Source: link @tonlines