Robuta

04/21/19 - The sparse optimization problems arise in many areas of science and engineering, such as compressed sensing, image processing, sta...

Obtaining versions of deep neural networks that are both highly-accurate and highly-sparse % is one of the main challenges in the area of model compression,...

Bibliographic details on Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization.

Large-scale nonlinear least-squares optimization library for both sparse and dense problems - dkogan/libdogleg

Transform your AI capabilities with ROLV's AI Optimization: efficient AI computation, the ROLV Library, and expert handling of sparse datasets.

Recent advances in long-context large language models (LLMs) make them commercially viable, but their standard attention mechanisms' quadratic complexity...