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Source channel @githubtrending · Post #15141 · Sep 13

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#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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Media maps 🌏

@mediamaps · Post #255 · 11/02/2025, 02:02 PM

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Тема второго дня — линии. Визуальная лаконичность и ёмкость способа линейных знаков делают его одним из самых выразительных в картографии. С линейными объектами на картах мы встречаемся почти каждый день. Это маршруты, ограничения движения, марафоны, парады и шествия. Работа с линиями всегда требует много усилий: необходимо внимательно их согласовывать, подбирать цвета и толщины. Сегодня мы выбрали карту новых автобусных маршрутов, сделанную в собственном ПО Overmap. #30DayMapChallenge#Day2#Lines#Cartography#GIS

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