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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 #4277 · 03/01/2025, 10:00 AM

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$30M Funding in AI and Tech Startups Recent funding highlights: - Unique FinanceGPT: $30M round, focuses on generative AI for finance. Learn more - Skylo: $30M for NTN services, satellite connectivity for devices. Explore here - Camber: $30M for healthcare financial software. Details here - Doroni Aerospace: $25M for consumer eVTOL flying cars. Read more - VerAI Discoveries: $24M, AI platform for mineral exploration. More info - Universal Diagnostics: $20.96M to develop early-stage cancer detection blood tests. See here - Norlase: $20.96M for advanced ophthalmic lasers. Find out more - ZeroNorth: $20M for solutions in global shipping, reducing carbon emissions. Explore - Enveda Biosciences: $20M for plant-powered drug discovery. Learn more - Open Meta City: $20M for real estate ownership in major cities. Discover more #AI#Tech#Finance#Healthcare#Aerospace#eVTOL#MineralExploration#Diagnostics#Ophthalmic#Shipping#DrugDiscovery#RealEstate#Startup#VC#Innovation#Funding#Investment#GenerativeAI#SmartDevices#PlantPowered