#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
🐄🐄 𝘿𝙄𝙂𝙀𝙎𝙏𝙄𝙊𝙉 𝙄𝙉 🐄𝙍𝙐𝙈𝙄𝙉𝘼𝙉𝙏𝙎 🐄🐮
👉All herbivores (plant-eating mammals) are called ruminants.
👉They rechew the cud to break down plant matter and stimulate digestion.
👉The stomach is divided into four chambers- rumen, reticulum, omasum, and abomasum.
🐄🐮 𝙋𝙧𝙤𝙘𝙚𝙨𝙨 𝙊𝙛 𝘿𝙞𝙜𝙚𝙨𝙩𝙞𝙤𝙣 🐄🐮
👉Ruminants quickly swallow the food and store it in the rumen.
👉Once the rumen is filled, food is passed into the second chamber (reticulum).
👉In the reticulum, digestive juices partially digest the food.
👉Partially digested food is called cud.
👉Now when mammals are resting, bring the cud back into the mouth for rechewing.
👉After cud is chewed food is passed to the omasum and the abomasum.
👉Symbiotic bacteria in the caecum brought complete digestion of cellulose.
#digestion
https://t.me/starvetbooks