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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 #3441 · 12/19/2024, 10:24 AM

YouTube Issues and Economic Updates 🔧 Users in Russia report ongoing issues with YouTube, marking another decrease in platform traffic, as confirmed by Google. 📊 The Russian Communications Ministry (RKN) plans to acquire data on user attempts to access blocked sites, though it already collects some relevant data. ⚙️ The Ministry of Economic Development aims to increase processing limits to enhance labor market flexibility amid personnel shortages. 📈 Predictions suggest the information security market in 2024 could grow by 30% to reach 593 billion rubles, though other estimates are lower. 📺 Yandex is negotiating with Haier, TCL, and Huawei for the installation of its OS on all their TVs supplied to Russia. 💰 AI search engine Perplexity successfully raised $500 million at a valuation of $9 billion, a significant increase from its earlier valuation of $1 billion. 🇺🇸 In the US, an investigation has been initiated against TP-Link over national security concerns, as they hold 65% of the domestic router market. #YouTube#RKN#EconomicDevelopment#MarketGrowth#InformationSecurity#Yandex#Perplexity#Funding#TPLink#NationalSecurity#Russia#TechNews#AI#Router#Television#DataPrivacy#UserExperience#TrafficIssues