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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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@venturevillagewall · Post #3598 · 12/20/2024, 03:24 PM

CrossCurve Boosts TON Liquidity CrossCurve by EYWA aims to create a unified marketplace for cross-chain liquidity on the Curve protocol, attracting investment from Curve founder Misha Egorov. Soon, TON integration will allow asset exchanges with tokens from Torch and Crouton. Additionally, CrossCurve offers a $300k incentive program following their upcoming TON integration. A podcast episode discussing their unique solution is available here. #CrossCurve#TON#Curve#EYWA#Liquidity#EVM#Stablecoins#DeFi#Podcast#Crypto#Blockchain#Incentives#Investment#Token#Torch#Crouton#Farming#Staking#Yield#Grants