#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
#POLYX/USDT analysis :
#POLYX has rebounded from the previously respected support zone and is currently trading above a minor support level. The price is expected to move upward from this level and test the swing high resistance.
TF : 2h
Entry : $0.1790
Target : $0.2036
SL : $0.1688
#POLYX/USDT analysis :
#POLYX has broken out and retested the support zone above the 200 EMA. The price is expected to continue its bullish momentum and test previous highs.
TF : 15min
Entry : $0.2353
Target : $0.2593
SL : $0.2232
#POLYX/USDT analysis :
#POLYX is presently establishing a bullish channel. The price has recently rebounded from the support zone and is now progressing to test the previous swing high.
TF : 4H
Entry : $0.2231
Target : $0.2538
SL : $0.2029