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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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@finsignal · Post #3486 · 08/23/2024, 02:06 PM

😎The wrapped #BTC market has attracted close attention. Currently, #WBTC contributes a huge share to the #Ethereum#DeFi ecosystem. There are other options on the market. For example, #Coinbase and #Mantle announced the launch of #cbbc and #BBC. #BTCB, launched by #Binance, and #mBTC, launched by #Merlin, also have market sizes of $3.9 billion and $1.3 billion.