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Source channel @githubtrending · Post #15428 · Jan 22

#cplusplus FlashMLA is DeepSeek's optimized attention library that makes AI models run faster and use less memory. It works with advanced NVIDIA GPUs to speed up how language models process information, achieving up to 660 trillion floating-point operations per second. The library supports both dense and sparse attention modes, meaning it can focus on important tokens while skipping less relevant ones, reducing computational waste. For you, this means faster AI responses, lower costs for running large language models, and better performance on tasks like chatbots and code generation. The technology is open-source and integrates with popular AI frameworks like PyTorch and Hugging Face, making it accessible for developers building next-generation AI applications. https://github.com/deepseek-ai/FlashMLA

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@moeshiro · Post #174 · 10/30/2025, 04:30 PM

试着接收了这次《三体》联动哈工大从阿斯图一号卫星上发送的 SSDV信号,只能说发送的图片真的好难看(),不过搭建解码环境的过程还是比较有趣的,也学会了 sdr 精准跟随卫星频率的操作。 #业余无线电#HAM#卫星#SSDV#ASRTU-1