#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
#AMP/USDT analysis :
#AMP is currently exhibiting an uptrend, consistently reaching new highs while trading above the 200 EMA. The price is now retracing toward the 200 EMA and a significant support level.
It is expected that the price will test this zone and subsequently rebound, which will allow the bullish momentum to persist and potentially lead to a retest of previous highs.
TF : 1D
Entry : $0.006750
Target : $0.011915
SL : $0.004950
#AMP/USDT analysis :
#AMP has broken above a previously tested resistance level and has bounced back after a retest. This suggests a continuation of its bullish momentum, with the price likely to test previous highs from the current level.
TF : 1D
Entry : $0.005420
Target : $0.013400
SL : $0.004180
#AMP has a trading range on 12H Time frame, we expect a good pump from bottom of this range,also after breakup will have another bullish movement again
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