#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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Сколько времени вы проводите в соцсетях?🧐
Кажется, скоро будем проводить еще больше, ведь в июле появилась новая сеть #Threads, которую все называют аналогом #Twitter.
💼Некоторые бренды уже начали использовать новый инструмент в работе. Оставляйте комментарии, мы соберем подборку ваших мнений в наш канал в Дзене.
Как вы оцениваете запуск новой социальной сети Threads? Будете ли использовать в работе? И как?
Meta 旗下社交媒体 Threads 移动端日活超越 X 平台,网页端差距悬殊揭示社媒格局新变化
Similarweb报告显示,Threads移动端日活达1.415亿,已超越X平台。Threads的增长得益于Meta的交叉推广与功能完善;而X平台受AI争议及监管调查影响,美国日活大幅下滑。尽管X在网页端仍具绝对优势,但其领先地位正被削弱,Threads正逐渐成为主流社交工具。
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