#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
TON — LIVE: Telegram Rises in Popularity Rankings
#Telegram#apps
The channel TON — LIVE reports that Telegram has moved up one rank in the list of the most popular apps for 2025.
Source: link
@tonlines
⚡️Trending Apps: New Voting System in Telegram Apps Center
#Telegram#Apps
Trending Apps announces that users can now influence the ranking of Mini Apps through a new voting system in the Telegram Apps Center. Active participants will be rewarded with exclusive SBTs and Telegram Gifts.
Source: link
@tonlines
⚡️Trending Apps: Upcoming Feature in Apps Center
#Telegram#Apps
Trending Apps announced a new feature in the Apps Center, aiming to enhance user engagement by allowing users to influence developments directly. This innovative approach is set to launch within the next 30 days, with more details to be revealed gradually.
Source: link
@tonlines
A partir de hoy amigos, estaré entregando #apps, recursos, plataformas y tips para usar la tecnología a su favor y mejorar las condiciones de #empleo📄📈