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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 #3590 · 12/20/2024, 12:23 PM

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Google's Growth Dilemma Revealed Google faces a challenge with 5.5 billion users searching three times daily, leading to a near 98% penetration of its services. The company's pressure to show growth for investors may have led to risky strategies, including diversifying user journeys to boost commercial queries. A leaked document outlines these changes aimed at enhancing growth beyond organic metrics. Find out more in our podcast: Кухня. 📈 Listen here: Кухня Podcast For the full leaked document: Leaked Document #Google#Search#Users#Growth#Investment#Penetration#CommercialQueries#Tech#Strategy#Marketing#DocumentLeak#Podcast#DigitalMarketing#UserJourney#Innovation#Business#Alphabet#TechCulture#Earnings#MarketTrends