#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
DataBackup
An easy-to-use backup Libre application for Android, however your phone needs to be rooted , unless a ROM were to include it as a system app
Support for #multi-user/double backup: same backup/restore on multiple partitions!
Cloud: fully supports #Rclone, which can perform local mounting of network drives from various service providers.
100% data integrity: all data will be retained and there is no need to reconnect or download additional packages.
Complete: Split Apk, Arm32, Arm64, x86, x86_64, Android9+.
Fast: Support: tar lz4 zstd (default).
GitHub - XayahSuSu/Android-DataBackup: 数据备份 DataBackup for Android - https://github.com/XayahSuSuSu/Android-DataBackup
Reminder : to install it via F-Droid first add the Izzy repository to F-Droid ( settings - repositories/sources)
IzzyOnDroid F-Droid Repository -
https://apt.izzysoft.de/fdroid/
#Backup #Android
https://pypi.python.org/pypi/numpy
#NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.
Данные от Santiment: 10 крупнейших кошельков удерживают значительные доли в крупнейших альткоинах, что подчеркивает проблему централизации в крипте:
#Polygon (MATIC): 69.4%
#Shiba Inu (SHIB): 61.2%
#Uniswap (UNI): 50.8%
#Pepe (PEPE): 46.1%
#Ethereum (ETH): 44.0%
#Tether (USDT): 33.1%
#Chainlink (LINK): 31.1%
#Toncoin (TON): 27.5%
#Multi Collateral Dai (DAI): 24.5%
#USD Coin (USDC): 19.0%
💬Мнение : Такая концентрация может повлиять на рынок, так как несколько крупных игроков могут существенно влиять на цену и ликвидность этих активов.
#КриптоНовости#обзоррынка