#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
#Sondaggi#Lituania
Sondaggio di Baltijos tyrimai:
#DVSL|Verdi conservatori: 22% (+3)
#LSDP|S&D: 19% (+1)
#TS/#LKD|EPP: 15% (+2)
#LT|Centro-destra: 11% (+1)
#LRLS|RE: 9,5% (-1,5)
#LVŽS|G/EFA: 7% (-0,5)
#DP|NI: 6% (-2)
#LLRA|ECR: 4% (-1)
#LP|RE: 3% (-1)
#TTS|Destra: 1,5%
#LRP|Centro-sinistra: 1% (-1)
#LCP|Centro ruralista: 1%
#LŽP|Verdi di centro: 1%
Data rilevazione: 13-28 aprile
+/-: 10-24 marzo
Intervistati: 1009
DVSL, il partito dell'ex Primo Ministro Saulius #Skvernelis, raggiunge un nuovo record di percentuale (22%).
@UltimoraPolitics