#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
#RAD/USDT analysis :
#RAD is currently experiencing a bearish trend, trading below the 200 EMA. The price is forming lower lows (LLs) and lower highs (LHs).
At present, it is testing the resistance zone along with the 200 EMA. A reversal is anticipated from this level, allowing the price to resume its bearish momentum and potentially test lower levels.
TF : 1H
Entry : $0.840
Target : $0.779
SL : $0.875
#RAD/USDT analysis :
#RAD has broken out and retested the previous support levels. It is expected to reject from the current level and test lower levels.
TF : 1h
Entry : $1.209
Target : $1.127
SL : $1.268