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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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💃🌍У танцевальной группы «Цветы Урала» (школа № 10, Екатеринбург) в репертуаре есть «Танец рудокопов Южно-Африканской Республики» — см. видео! 🎥✨ #Культура#Танцы#Екатеринбург#ЮАР#ЦветыУрала _________________________ 💃🌍 The Urals Flowers dance group (School No. 10, Yekaterinburg) performs the Dance of South African Miners — see the video! 🎥✨ #Culture#Dancing#Yekaterinburg#SouthAfrica

ART IN SPORT

@BarykinaLiubov · Post #1217 · 08/20/2024, 07:07 PM

𝙈𝙖𝙨𝙩𝙚𝙧 𝘾𝙡𝙖𝙨𝙨 𝙤𝙛 𝙖𝙣 𝙞𝙣𝙩𝙚𝙧𝙣𝙖𝙩𝙞𝙤𝙣𝙖𝙡 𝙋𝙧o𝙟𝙚𝙘𝙩 🖤 #ArtInSport 𝘕𝘰𝘷𝘰𝘬𝘶𝘻𝘯𝘦𝘵𝘴𝘬 𝘙𝘶𝘴𝘴𝘪𝘢 16.8.24 #LiubovBarykina #InternationalProject #RhythmicGymnastics #dancing #painting

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