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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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Marwa Osman/MidEaStream

@Marwa_OsmanLB · Post #4170 · 03/17/2025, 12:02 PM

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Yemeni Media reported that approximately 40 U.S. airstrikes targeting the capital, #Sanaa, as well as Saada and Al-Bayda, have resulted in an initial toll of 32 dead and over 100 wounded, the majority of whom are women and children. The strikes are expected to continue for weeks. Four airstrikes hit the Al-Jeraf neighborhood in northern Sanaa, killing ten people and injuring 13 others. Additional strikes targeted the Attan and Jarban areas in the Sanhan district of Sanaa province. In #Saada, reports indicate that airstrikes on two homes in the Qahza area, north of the city, led to a rising casualty count of ten dead and 13 wounded. Meanwhile, the U.S. Central Command (#CENTCOM) confirmed that it had carried out a series of airstrikes against "Ansarullah" targets across #Yemen. CENTCOM stated that the operations involved precision strikes, justifying them as measures to defend U.S. interests, deter adversaries, and restore freedom of maritime navigation. #RedSea#DonaldTrump

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