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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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Venture Village Wall 🦄

@venturevillagewall · Post #3839 · 01/10/2025, 04:00 PM

Crypto Industry Echoes Dotcom Boom 🔍 A new report from BloFin indicates that the crypto market mirrors the dotcom boom's phase in the US. Increased liquidity is observed, with monetary conditions easing, hinting at a potential altcoin season. Experts believe Bitcoin and Ethereum may lead market movements based on liquidity trends and general economic conditions. For an in-depth analysis, click here. Furthermore, recent volatility shows cryptocurrency's risks due to inflation concerns tied to potential political changes in the US. Two scenarios are examined: bullish expectations from liquidity influx versus bearish forecasts stemming from inflationary risks and market overexcitement. A detailed breakdown is available in the full analysis. Also, CryptoQuant signals a 'buy on dip' for Bitcoin as large investors increase purchases. Learn more about the latest developments here. #Crypto#Bitcoin#Altcoins#Liquidity#MarketTrends#DotcomBoom#Investments#EconomicGrowth#Inflation#PoliticalRisk#QuantAnalysis#InvestmentStrategies#USMarkets#DigitalAssets#Volatility#AI#VC