#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
🌍 In 2023, explorers finished mapping over 75% of the world’s seafloor in high detail, uncovering thousands of undersea mountains and canyons hidden beneath the oceans. ✨
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🌍 Over 80% of Earth’s ocean remains unmapped and unexplored by humans. Modern sonar and robotic submersibles are revealing new mountains, trenches, and species with every deep-sea journey. ✨
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🌍 The first map to show the Americas as a separate continent was made by German cartographer Martin Waldseemüller in 1507. It’s where the name “America” first appeared on a world map. ✨
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🌍 In 2022, explorers used sonar to map a hidden undersea volcano off Madagascar’s coast, revealing a peak 800 meters tall that was completely unknown before their expedition. ✨
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🌎 While mapping the ocean floor in 1947, researchers aboard HMS Challenger discovered the Mid-Atlantic Ridge, revealing Earth's largest mountain range hidden underwater. This seismic finding triggered the theory of plate tectonics—explaining how continents drift. The ridge stretches for over 16,000 kilometers beneath the Atlantic Ocean. ✨
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