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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 #4239 · 02/25/2025, 01:00 PM

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AI Startup Hits $10K Monthly Revenue AI project ReelFarm generates viral TikTok videos using templates. Recent success: over $10k MRR within the first month. Case study: an online store achieved 100k+ views without high production costs. Industry trend: growth in accessible, low-cost video creation tools. For aspiring project creators, checklist available. #AI#Video#Marketing#TikTok#Startup#Viral#MRR#ContentCreation#SocialMedia#Innovation#TechTrends#Entrepreneurship#ReelFarm#DigitalMarketing#BusinessGrowth#MicroSAAS#Entrepreneurs#VideoMarketing#DIY#Creators

Libertà è ragione

@libertaeragione · Post #4303 · 11/25/2024, 02:34 PM

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#Elezioni#Romania#Presidenziali Risultati definitivi: Affluenza: 52,55% Călin #Georgescu: 22,94% Elena #Lasconi (#USR|RE): 19,18% Marcel #Ciolacu (#PSD|S&D): 19,15% George #Simion (#AUR|ECR): 13,86% Nicolae #Ciucă (#PNL|EPP) 8,79% Mircea #Geoană (supp. #MRR)|Centristi nazionalisti|G/EFA: 6,32% Hunor #Kelemen (#UDMR|EPP): 4,51% Cristian #Diaconescu: 3,1% Cristian #Terheș (#PNCR|ECR): 1,04% Ana #Birchall: 0,46% Ludovic #Orban (#FD|Centro-destra populista): 0,22% Sebastian #Popescu (#PNR|Populisti): 0,16% Alexandra #Păcuraru (#ADN|Centro-sinistra): 0,16% Silviu #Predoiu (#PLAN|Centro): 0,12% In foto, la mappa del voto, by @tuttoelezioni. Necessario un secondo turno tra Georgescu e Lasconi. @OsservatorioEsteri