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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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Universe Mysteries 🪐

@cosmomyst · Post #110 · 08/10/2025, 01:11 PM

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🪐 The star HD 110432, found in the constellation Centaurus, is known for its intense X-ray flares and rapid spinning. This strange star belongs to the "gamma Cassiopeiae variables"—a class of hot, blue stars that shed material from their equators and produce mysterious, unpredictable bursts of X-rays unlike most other stars in our galaxy. ✨ #stars⚡#mysteries⚡#variables⚡#nasa⚡#galaxy⚡#astronomy⚡#universe⚡#cosmos⚡#space 👉subscribe Universe Mysteries

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MDC Uzbekistan

@mdcuzbekistan · Post #11 · 05/16/2021, 04:46 PM

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O'zgaruvchilar Barcha dasturlash tillarida eng ahamiyatli o’rinlardan birida turadigan, hamda ko’pchilikka ilk dasturlashni boshlash chog’larida muammo bo’lishga ulgurgan, ushbu mavzu to’g’risida yaqin daqiqalar ichida tushunmovchiliklarga barham beramiz. 👉Batafsil 👨‍🏫 Mentor: Xondamir Abduxoshimov #csharp#variables#starter#dotnet .NET Uzbekistan Community __________ Telegram | Instagram | Youtube

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Suxrob Xurramov | Blog

@suxrobblog · Post #1168 · 10/10/2025, 05:03 AM

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Dizayn tizimingdagi tokenlar ish jarayonini qanday o‘zgartirib yuborishini bilasanmi? Komponentlar va auto layoutlar bu «zo‘r narsa», lekin tokenlarsiz sen vaqtni tejash va dizayndagi bir xillik (consistency)ning eng muhim qismini boy berasan. Tokenlar — bu ranglar (colors), shriftlar (typography), bo‘shliqlar (spacing) va boshqa uslubiy (style) parametrlar uchun o‘zgaruvchilar (variables) hisoblanadi. Tasavvur qil, bitta token qiymatini o‘zgartirasan va butun mahsulot avtomatik yangilanadi. 💎 50 ta ekran dizaynini qo‘lda tahrirlashni xohlaysanmi? 🤯 — Albatta yo‘q. Tokenlar bu ishni atigi ikki bosishda hal qiladi, xatolar sonini kamaytiradi va relizlarni (releases) tezlashtiradi. P.S. Tokenlar bilan ishlashdagi samarali tajribalarni izohda yozib qoldiramiz) @suxrobblog » #designsystem#token#variables

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