#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
#DEXE/USDT analysis :
#DEXE is currently in an uptrend on the higher time frame (HTF). The price is in an accumulation phase, consolidating sideways. A breakout from this consolidation is anticipated soon, which would likely continue the bullish rally and test the swing high. We should look for potential pullbacks to establish long entries.
TF : 1W
Entry : $8.260
Target : $18.100
SL : $6.340
#DEXE/USDT analysis :
#DEXE is currently facing resistance from the 200 EMA on the daily time frame. On the 4-hour time frame, it has broken and retested the support zone. The price is now likely to continue its bearish momentum and test new lows.
TF : 4H
Entry : $8.461
Target : $7.953
SL : $8.783