#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
#php
You can easily set up a WordPress development environment using GitHub Codespaces or locally with Docker. Codespaces lets you start coding in a ready-made cloud environment directly from your browser, saving setup time and letting you work anywhere. For local setup, you need Node.js, npm, and Docker installed. After cloning the WordPress development repository, you run simple commands to install dependencies, build the project, and start the environment. You can access your WordPress site at http8889, run tests, and manage the environment with commands. This setup helps you develop, test, and contribute to WordPress efficiently without complex manual configuration.
https://github.com/WordPress/wordpress-develop
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#php