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@besnow_cloud · Post #3204 · 06/02/2025, 08:40 AM
🔥 Elon Musk 宣布新产品 #XChat：Rust 架构 + “比特币风格”端到端加密⚡️ 支持自毁消息、任意文件传输、音视频通话——向「超应用」再迈一步。 #互联网自由#加密#RustLang
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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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@githubtrending · Post #14986 · 07/22/2025, 12:00 PM
#rust#cli#command_line_interface#command_line_tool#dns#icmp#linux#macos#mtr#netbsd#network#networking#ping#ratatui#rust#rustlang#tool#traceroute#tui#tui_rs#windows Trippy is a powerful tool that combines traceroute and ping functions to help you analyze network problems easily. It works on Linux, BSD, macOS, and Windows, and you can install it through many package managers or directly with commands like `cargo install trippy`. Running a simple trace is as easy as typing `sudo trip example.com`. Trippy offers detailed network tracing with features like multipath strategies and unprivileged modes, making it flexible for different needs. Using Trippy helps you quickly find where network issues occur, saving time and improving troubleshooting efficiency. Full guides and documentation are available online to get you started smoothly. https://github.com/fujiapple852/trippy