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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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Venture Village Wall 🦄

@venturevillagewall · Post #3950 · 01/22/2025, 01:00 PM

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Circle Acquires Hashnote; $5.6M for Wingbits 🔍 Institutional investment management platform Hashnote acquired by Circle. 💰 Wingbits, a token-incentivized flight tracking network, raises $5.6M in a strategic funding round led by Borderless Capital and Bullish, with participation from various investors. 🔄 Significant crypto movement detected: 2,410 #BTC (worth $253M) transferred to Coinbase Institutional. ⚡ Mantle announces a financial blockchain center with a treasury of $4.3B, planning expansion of mETH and FBTC Protocols in 2025. 🌐 Mistral AI aims for IPO and opens Singapore office as part of regional expansion. 🏛️ Major U.S. Bitcoin miner MARA advocates for Bitcoin reserves in 50 states with state-level bills under consideration. 🚀 Stargate Project initiated by tech giants for AI infrastructure in the U.S., with $500 billion investment planned by 2029. 🔗Read more about Mantle's blockchain center. #Hashnote#Circle#Wingbits#Crypto#BTC#Mantle#mETH#FBTC#MistralAI#IPO#MARA#Bitcoin#StargateProject#AI#VC

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