#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
Live: Get your virtual panda cuddles from Chongqing Zoo!
It's Saturday! Time for some super cute pandas. Yu Ai, Yu Ke, Mang Cancan, Qi Sanmei and Liang Yue in Chongqing Zoo get ready for clumsy rolls, silly play and fluffy cuteness. Join us to have a look! #panda
via CGTN
🩸🅰️🩸🩸🅰️
A Chinese zoo is under fire again for passing off dogs as pandas. This is the third time that people have been tricked by painting ordinary chow chows as pandas.
Visitors began to suspect that they weren't pandas when the spotted furry creatures started barking and panting like dogs.
The plan was perfect. What could go wrong?
#Panda#China
MARKHEMIST