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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 #3507 · 12/19/2024, 03:57 PM

Monad Ecosystem's Rising Interest The Monad blockchain ecosystem is gaining attention ahead of its launch, focusing on community engagement and innovative projects. Key highlights include: - Event: Demo day showcased 20 projects, co-hosted by Paradigm with a $750k prize pool. - Projects: Noteworthy initiatives included: - Kizzy: A mobile betting platform based on Twitter events. - Sparkball: A team strategy game soon on Steam. - LootGO: A Walk2Earn project, previously overlooked. - Pulse: A health-monitoring bracelet securing $1.8M funding. - Community and Hype: Founders cite strong community support as a major attractor to Monad. - Future Vision: Excitement surrounds Monad’s upcoming testnet and potential partnerships with platforms like TON. #Blockchain#Monad#Crypto#Web3#Gaming#Social#Fundraising#EVMcompatible#Paradigm#DemoDay#Kizzy#Sparkball#LootGO#Pulse#NEOWIZ#Ethereum#Funding#TokenLaunch#Community#Hype