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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 #3713 · 12/25/2024, 01:00 PM

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Funding Rounds Completed Recent funding updates highlight several companies securing significant investments: - HuLoop Automation, Inc.: Raised *$6M* for its AI-driven no-code automation platform. - Arborea: Completed a round of *$5.22M*, focusing on industrializing photosynthesis. - nQ Zebraworks: Secured *$4.50M*, enhancing law firm billing and workflow. - Shexu Technology: Received *$4.12M*, details in Chinese. - Crop Diagnostix: Raised *$3.50M* for agricultural diagnostics solutions. - Rainier Welding: Achieved *$3.30M* for steel and aluminum fabrication services. - Jiaoyi Digital Technology: Secured *$2.75M*, offering a dashboard system template for web development. - Sirui Additive: Raised *$2.74M*, involved in additive manufacturing. #Funding#AI#Automation#Photosynthesis#LawTech#Welding#Agriculture#DigitalTech#WebDevelopment#Investments#Startups#Technology#Innovation#Sustainability#Manufacturing#Healthcare#Cosmetics#CostSaving#Productivity#Transformations