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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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Crypto M - Crypto News

@CryptoM · Post #64492 · 04/09/2026, 03:04 AM

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🚀 Mitsui OSK Lines to Review US-Iran Ceasefire Before Navigating Strait of Hormuz Japan’s Mitsui OSK Lines, a leading global shipping company, plans to closely examine the specifics of a ceasefire agreement between the United States and Iran before permitting its vessels to traverse the Strait of Hormuz. Bloomberg posted on X, highlighting the strategic importance of this waterway, which is a critical passage for global oil shipments. The company aims to ensure the safety and security of its operations in the region, given the historical tensions and potential risks associated with navigating this vital maritime route. Mitsui OSK Lines' decision underscores the cautious approach taken by major shipping firms in response to geopolitical developments that could impact international trade and shipping lanes. #MitsuiOSKLines#USIranCeasefire#StraitOfHormuz#globalshipping#internationaltrade#geopolitics#shippingsecurity#oilshipments#maritimeroute#Bloomberg

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