#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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Attorney Shield Raises $451.96K
Attorney Shield has successfully raised $451.96K on December 17, 2024. The company focuses on enhancing interactions with law enforcement through its innovative mobile app and technology-driven legal services. For more information, visit their website here.
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SociAbility Raises $1.57M
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🚀 AI TRENDS | YouTube Introduces AI Avatar Tool for Shorts Creators
YouTube has launched a new AI avatar tool designed for Shorts creators, allowing them to generate videos of themselves using prompts. According to NS3.AI, this feature enables creators to produce clips lasting up to eight seconds. The rollout began on Wednesday and is accessible through the YouTube app and YouTube Create. Initially, the tool is available to mobile users worldwide, excluding Europe.
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Gripp Secures $1.73M Funding
Gripp has successfully raised $1.73 million as of December 16, 2024. Their innovative QR + Mobile App system streamlines equipment maintenance, provides operational knowledge, and offers essential insights into operations.
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