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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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NEWS 鏈新聞-ABMedia

@abmedia_news · Post #24115 · 04/24/2026, 04:17 PM

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Venture Village Wall 🦄

@venturevillagewall · Post #4190 · 02/19/2025, 01:00 PM

OKX Legalizes Operations in Europe OKX has obtained MiCA licensing and passported its services across the European Economic Area (EEA). Over 400 million users in 28 countries can now access fully regulated crypto services via its Malta base. Licensed entities can expand services within the EU under a unified regulatory framework. The platform offers access to over 240 crypto assets and more than 300 trading pairs, including 60+ with Euro. More details: OKX Announcement #OKX#Crypto#EU#MiCA#CryptoRegulation#Malta#Blockchain#Trading#DigitalAssets#CryptoServices#Cryptocurrency#ECC#Fintech#RegulatedCrypto#CryptoGrowth#Investing#Finance#TradingPairs#Economie#CryptoMarket#MarketTrends