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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 #65053 · 04/10/2026, 04:41 PM

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🚀 Binance Wallet Enhances Access to Pre-IPO Assets Binance Wallet announced on X that it has made Pre-IPO assets more accessible within its platform. Users can now find the first batch of five Pre-IPO assets under the 'Markets' section in the 'Wallet' view on the Binance App. This update aims to streamline the process for users interested in exploring related on-chain Pre-IPO assets. The introduction of these assets marks a significant enhancement in the Binance Wallet's offerings, providing users with a more straightforward way to discover and engage with Pre-IPO opportunities. By integrating these assets into the app's wallet view, Binance Wallet seeks to simplify the user experience and broaden the scope of available investment options. This development is part of Binance's ongoing efforts to expand its digital asset ecosystem and offer diverse investment opportunities to its users. #BinanceWallet#PreIPO#DigitalAssets#Investment#Crypto#Blockchain#CryptoInvesting#WalletUpdate#Fintech#AssetManagement

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