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Source channel @githubtrending · Post #15141 · Sep 13

#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

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@signal_bitcoins · Post #1883 · 12/17/2023, 07:38 AM

💰#WAVES is trying to break up the triangle pattern on Weekly Time frame,in the case of breakout we will have another good pump💎 ❄️@signals_bitcoin_crypto❄️ ❄️@Shadow_support0o❄️

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Crypto

@signal_bitcoins · Post #1468 · 09/09/2023, 09:00 PM

💰#WAVES is moving in a descending triangle. It bounced from the horizontal support with a decent volume. Currently, it is facing the MA 50 resistance. MACD crossover is losing bearish momentum and seems like it is going to turn bullish. A solid breakout of the descending triangle would be the bullish confirmation.💎 ❄️@signals_bitcoin_crypto❄️ ❄️@Shadow_support0o❄️

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