Paintings Place
@paintingsplace · Post #3881 · 04/04/2023, 03:18 PM
An Italianate landscape, c. 1800 by John White #Abbott🇬🇧 Oil on canvas, 42.2cm x 61cm Yale Center for British Art, Connecticut, USA Original file 🆔@paintingsplace
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Source channel @githubtrending · Post #15141 · Sep 13
#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
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America 🇺🇸 News & Politics
@America · Post #10322 · 03/03/2026, 03:52 AM
🚧🇺🇸 TEXAS WINS COURT BATTLE TO KEEP RIO GRANDE BUOY BARRIER 🔹 5th Circuit Court rules Texas can KEEP its controversial floating border barrier ⚖️ 🔹 Governor Abbott and AG Ken Paxton celebrate "major victory" against Biden admin 🎉 🔹 50k barrier stretches 1,000 feet near Eagle Pass to block illegal crossings 🛑 The legal war continues, but for now, the buoys stay in the water. Is this effective border security or a humanitarian hazard? 🌊🤔 #USNews#immigration#Texas#border#Abbott @america
Ultimora.net - POLITICS
@ultimoraPOLITICS · Post #39553 · 05/16/2022, 06:00 PM
#Sondaggi#USA#Governative#Texas Sondaggio di UTT: Greg #Abbott (#R|ECR): 46% (+1) Beto #ORourke (#D|Centro-sinistra): 39% (+1) Delilah #Barrios (#GPUS|Verdi): 3% (+3) Mark Jay #Tippetts (#LP|Libertari): 3% (+3) Qualcun altro: 8% (-8) Non lo so: 2% (+1) Data rilevazione: 2-10 maggio +/-: 8-15 febbraio Intervistati: 1232 @UltimoraPolitics