#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
новый автор на сайте статья про монтаж в #aftereffectshttps://news.fidller.com/2026/01/12/montazh-v-after-effects-novaya-norma-dlya-kinematografistov-i-sozdateley-kontenta/ а почему бы и нет?)
мега статья о всех новых фишка новой версии #aftereffects очень много видосов https://news.fidller.com/2022/12/10/obzor-after-effects-za-noyabr-2022/#newsfidllercom#bighousecinema
🥹 Друзья, у нас новый урок!
Анимация готового постера в Adobe After Effects
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#aftereffects#анимация#полезное
Animación y Motion Graphics con After Effects
#aftereffects#animación#Domestika
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