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Source channel @githubtrending · Post #15141 · Sep 13

#python#large_language_models#machine_learning_systems#natural_language_processing Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable. https://github.com/fla-org/flash-linear-attention

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Libreware

@libreware · Post #1232 · 02/22/2024, 11:58 AM

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Quiet Encrypted p2p team chat with no servers, just Tor. https://tryquiet.org/index.html https://github.com/TryQuiet/quiet Currently in developpement stage so be cautious of your data Quiet is an alternative to team chat apps like Slack, Discord, and Element that does not require trusting a central server or running one's own. In Quiet, all data syncs directly between a team's devices over Tor with no server required. No email or phone number required, Unlike #Slack, #Discord, #WhatsApp, #Telegram, and #Signal, no email or phone number is required to create or join a #community. End-to-end encryption, All data is #encrypted end-to-end between member devices, using Tor. Channels, Organize chats in Slack-like channels, so conversations don't get messy. Images, Send and receive images, with copy/paste, drag & drop, and image previews. Files, Send and receive files of unlimited size! Notifications, Invite links, Keyboard controls, Desktop apps Android, Quiet works on Android, and F-Droid support is on the way. #E2E#Chat#Quiet#Tor

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