#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
#CAKE/USDT analysis :
#CAKE has retraced and tapped the previous resistance zone, which is now support for the price. Bullish momentum is expected from the current level. Wait for the price to bounce back and break out of the $2.614 level to go long, with the previous swing high as the target level.
TF : 1D
Entry : $2.614
Target : $4.180
SL : $1.992
#CAKE/USDT analysis :
#CAKE is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs) above the 200 Exponential Moving Average (200EMA). The price is anticipated to undergo a retracement and test a support zone before resuming its bullish momentum. A new high is likely to be established soon.
TF : 15min
Entry : $2.033
Target : $2.091
SL : $2.004