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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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🦾#КороткойСтрокой • Гендиректор #Nvidia предсказал появление игр, целиком сгенерированных ИИ, менее чем через 10 лет. • В MIT придумали способ в 30 раз ускорить генерацию изображений с помощью нейросетей. • Глава #StabilityAI Эмад Мостак ушел в отставку. Он заявил, что займется децентрализованным ИИ. • По данным WABetaInfo, мессенджер WhatsApp работает над размещением #Meta AI в строке поиска.

The Digi Doodles

@Digi_doodles · Post #624 · 08/05/2025, 09:05 AM

Stability AI: Fair Pay for Artists?💐 Prem Akkaraju, CEO of Stability AI, has announced a game-changing commitment: Artists whose work is used to train generative AI models may soon receive compensation — similar to royalties on Spotify. Key points: — Focus on licensed training data — Plans for revenue-sharing models with creators — A move toward ethical and transparent AI development ✉️As debates rage over AI and authorship, Stability AI takes a step toward making tech fairer — and more artist-friendly. #AIArt#StabilityAI#CreativeRights#EthicalAI#ArtAndTech