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Source channel @githubtrending · Post #15428 · Jan 22

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#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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📰 Info_Dota2

@Info_Dota2 · Post #36386 · 01/28/2025, 12:00 AM

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Yuma “Yuma” Langlet, hard carry de HEROIC, habló sobre el desempeño de su equipo tras avanzar a los playoffs del campeonato FISSURE PLAYGROUND #1. ¿Esperabas este resultado? “La verdad, no. No deberíamos haber jugado este torneo en primer lugar, ya que ni siquiera participamos en las clasificatorias. Tampoco nos preparamos específicamente, así que llegamos sin muchas expectativas. Solo estamos tratando de mostrar nuestro mejor nivel de juego y ver qué podemos lograr con eso.” Si así lo lograron sin preparación, ¿qué hubiera sido con entrenamiento previo? 🔥 #ESB#Esports#Dota2#Heroic#Yuma @Info_Dota2

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