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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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Biznes va tadbirkorlik oliy maktabi

@gsbe_uz · Post #1869 · 12/16/2024, 12:58 PM

🇺🇿RANXiGS hamkorligidagi qo‘shma magistrlik dasturini tantanali ochilishi o‘tkazildi 🏆 Biznes va tadbirkorlik oliy maktabida Rossiya Federatsiyasi Prezidenti huzuridagi Rossiya xalq xo‘jaligi va davlat xizmati akademiyasi (RANXiGS) bilan qo‘shma magistratura dasturiga start berildi. 🇷🇺В Высшей школе состоялась торжественная церемония открытия совместной магистерской программы с РАНХиГС 📑 В Высшей школе бизнеса и предпринимательства состоялась торжественнаяцеремония открытия совместной магистерской программы с Российской академией народного хозяйства и государственной службы при Президенте Российской Федерации (РАНХиГС). 🇬🇧Solemn Ceremony of Launching a Joint Master’s Program with the Russian Academy of National Economy and Public Administration (RANEPA) 💼 The Graduate School of Business and Entrepreneurship held theopening ceremonyof the joint master’s program with the Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA). #GraduateSchool#Opening#Ceremony#Joint 🔝Web-site |🔝Facebook | 🔝Instagram | 🔝Youtube

Samuel Seminara: Storia, Politica, Attualità

@samseminara · Post #904 · 03/25/2021, 10:46 PM

#Elezioni#Israele 100% scrutinato: #Likud|ECR: 30 seggi (-6) #YeshAtid|Centro: 17 (+4) #Shas|Charedì: 9 #BaW|Centro: 8 (-7) #Yamina|Destra: 7 (+4) #Labor|S&D: 7 (+4) #UTJ|Destra charedì: 7 #Beiteinu|Destra secolare: 7 #NewHope|Centro-destra: 6 (+6) #RZ-#OtzmaYehudit-#Noam|Estrema destra ebraica: 6 (+4) #Meretz|S&D: 6 (+3) #Joint (#Hadash-#TA-#Balad-#MA)|Sinistra araba: 6 (-5) #RA|Sinistra islamica: 4 #NEP|Economisti: 0 (0,79%) #Rafa|No-vax: 0 (0,39%) Totale seggi: 120 Maggioranza: 61 Attuale Governo (Likud-BaW-Shas-UTJ-JewHome): 54 @UltimoraPolitics