#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
LinkWarden
Self-hosted, open-source #bookmark + archive manager to collect, and save websites for offline use.
The objective is to have a self-hosted place to keep useful links in one place, and since useful links can go away (see the inevitability of Link Rot), LinkWarden also saves a copy of the link as screenshot and PDF.
https://github.com/Daniel31x13/link-warden
📖 Inside the First Art Gallery for Blind Artists and Audiences #bookmark#raindrop
https://www.thrillist.com/travel/nation/envision-arts-gallery-wichita-kansas