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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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Crypto M - Crypto News

@CryptoM · Post #65104 · 04/11/2026, 01:47 AM

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🚀 AI TRENDS | OpenAI Addresses Security Issue Involving Axios Developer Library OpenAI has identified a security issue related to the third-party developer library Axios, which is part of a broader industry event. According to Jin10, the company stated that there is no evidence of OpenAI user data being accessed, system breaches, or software tampering. As a precautionary measure, OpenAI is taking steps to secure the authentication process for its macOS application to ensure it is recognized as a legitimate OpenAI app. The company is updating its security certification, requiring all macOS users to update their OpenAI applications to the latest version. OpenAI believes this will help mitigate any risks, however small, of distributing counterfeit applications posing as OpenAI. #AI#OpenAI#SecurityIssue#Axios#DeveloperLibrary#macOS#Authentication#SecurityCertification#UserData#CounterfeitApplications

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