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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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@libreware · Post #980 · 09/24/2021, 03:11 PM
Briar 1.3.8 release today https://briarproject.org/news/2021-briar-1.3-released/ Official Briar fdroid repository: https://briarproject.org/fdroid/repo/?fingerprint=1FB874BEE7276D28ECB2C9B06E8A122EC4BCB4008161436CE474C257CBF49BD6 #briar#im#p2p
@libreware · Post #1143 · 05/26/2023, 01:59 PM
6 Best Secure Messaging Alternatives to WhatsApp | Avoid the Hack – https://avoidthehack.com/best-secure-messengers The content of your messages and the metadata associated with them should be secure and private. Unfortunately many messengers out there fail to do this. Telegram operates in the cloud, and while this does have good portability across multiple devices and device types, the service provider (or anyone with access to the cloud server) could theoretically read them at any time with relative ease; Telegram stores messages on the third-party cloud provider's server. According to Telegram’s privacy policy, the service itself logs IP addresses and phone numbers. #Infosec#Session#SimpleXchat#Briar#Threema #Element#Telegram#privacy