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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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UXLINK

@uxlink_community · Post #371 · 03/28/2025, 03:19 AM

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🚀 Exciting updates: UXLINK One account growth has exploded from 160K to 500,000+ in under 10 days! 💥 💰 Over 6,000,000 $UXLINK deposited as OAOG protocol’s universal gas 📈 Daily transactions: 10,000+ | Total transactions: ~1,000,000 This is what global community power looks like! 🌍✨ Thank you for trusting us to redefine #Web3. Chain & account abstraction are revolutionizing user experiences—smoother, safer, and simpler for everyone. As the world’s largest #Web3 social platform & infrastructure, we’re building the SOCIAL FOUNDATION for mass adoption. 💪The future is here—let’s shape it together! 🎉#UXLINK#MassAdoption#Web3Infrastructure#AccountAbstraction

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EdgeMarket.AI 📣

@edgemarketai · Post #8002 · 02/23/2026, 02:09 PM

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By February 23, the story will already be written. EdgeMarket explores how decentralised oracles, collective intelligence, and AI signals converge to forecast global outcomes — transparently, without manipulation. Prediction is infrastructure. Truth is a system. #EdgeMarket#DecentralisedOracles#CollectiveIntelligence#AIInference#OlympicData#FutureOfPrediction#Web3Infrastructure

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