#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
#TIL – MILLAT KO‘RKI
21-oktyabr – o‘zbek tili bayrami kuni barchamizga muborak bo‘lsin!
O‘zlikni anglash, milliy ong va tafakkurning ifodasi, avlodlar o‘rtasidagi ruhiy-ma’naviy bog‘liqlik til orqali namoyon bo‘ladi. Jamiki ezgu fazilatlar inson qalbiga, avvalo, ona allasi, ona tilining betakror jozibasi bilan singadi.
Ona tili – bu millatning ruhidir.
Sizlarni yurtimiz tarixidagi muhim sanalardan biri – O‘zbek tili bayrami kuni bilan chin qalbdan muborakbod etamiz!
Ushbu ulug‘ bayram barchamizga quvonch, faxr va g‘urur ulashsin! Ona tilimiz abadiy yashasin, doimo barhayot bo‘lsin!
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#TIL there are laws mandate the use of a specific font.
[... A]ny text that is displayed on a primary package or secondary package, or on any overwrap covering the package, must [...] be printed in a regular weight and width Lucida Sans Serif font style, without italics, and in gray.
https://gazette.gc.ca/rp-pr/p2/2019/2019-05-01/html/sor-dors107-eng.html🐟