#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
Qalblar yanada taskin topdi, ahir oshiqlar o'lmas!
Fotih Dumanning kitoblari yaxshi chiqdi, "Sir" kitobini 2 kunda o'qib tugatdim, bundan avval "Men" kitobini mutolaa qilgan edik.
🤫 Ushbu kitobga o'lim haqida Sir berkitilgan ekan, men uni anglab yetdim, Sizga ham o'qishni tavsiya etaman, zero, ancha sirlardan xabar topasiz.
#Sir
@isakovxusniddin
#SIR#Facts@ssbclear
🗳Massive Drop in 'Zero Ineligible Voter' Polling Stations in Bengal
- The number of polling stations in West Bengal with zero ineligible voters plummeted from 2,208 to just 7 after Election Commission scrutiny.
- Districts like South 24 Parganas, Purulia, and Malda, which previously had hundreds of such booths, now report only one or two each.
- Over 50 lakh electors have been flagged as dead, duplicate, shifted, or untraceable.
- Around 98.84% of enumeration forms have been digitised from 7.6 crore registered voters.
- A new software, Demographic Similar Entries, helped detect 1.22 lakh ineligible names so far.
- Legal action is promised against Booth Level Officers if deliberate errors are found.
- These reforms come ahead of West Bengal’s upcoming elections next year.