#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
#ALPHA/USDT analysis :
#ALPHA is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs). The price has retraced to a support zone, and a bounce back is anticipated, with expectations to test previous highs.
TF : 1D
Entry : $0.0870
Target : $0.1340
SL : $0.0674
#ALPHA/USDT analysis :
#ALPHA is presently in a downtrend, trading below the 200 EMA. The price is establishing a pattern of lower lows and lower highs. Currently, it encounters resistance near the 200 EMA, indicating a possible continuation of its bearish trend and a retest of previous lows.
TF : 4h
Entry : $0.0558
Target : $0.0520
SL : $0.0584
Custom Signal: Combination of
👉 Double Bottom
👉 Bollinger Breakout
👉 Trend Line Breakout
We expect the price goes up after double bottom but we can’t trade by using only double bottom pattern. We look for another bullish moves like bollinger or trend line breakout.
What if double bottom, Trend Line Breakout and Bollinger Breakout occur for any asset and it’s price hasn’t risen yet
Bingo !!
#ALPHA did 15% in just 3 hours 👌
Just check the chart, let’s create custom signal