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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 #64885 · 04/10/2026, 06:54 AM

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🚀 Tria Integrates Aptos Network for Enhanced Global Transactions Tria, a non-custodial financial operating system, has announced the integration of its global trading engine with the Aptos network. According to ChainCatcher, this integration allows over 500,000 users across more than 150 countries to directly access and trade Aptos assets. Users can now perform cross-chain exchanges and asset interactions within a single application without the need for cross-chain bridges. The collaboration aims to leverage Aptos's sub-second confirmation and parallel execution technology to provide users with a seamless transaction experience. Additionally, it seeks to further connect traditional finance, Web2, and on-chain infrastructure. #Tria#AptosNetwork#GlobalTransactions#NonCustodial#FinancialOperatingSystem#CrossChainExchanges#AssetInteractions#Blockchain#Web2#OnChainInfrastructure#Aptos#Crypto#DecentralizedFinance#Fintech#APT

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