sia

SIA is a self-improving AI framework designed to autonomously enhance the performance of any AI system (model/agent) on benchmark tasks. It continuously improves task performance by orchestrating three main types of AI agents: meta-agents, task-specific agents, and feedback/improvement agents. SIA can be applied to various scientific tasks such as machine learning competitions, legal text classification, GPU kernel optimization, and single-cell RNA denoising. Users can install and configure SIA to run built-in tasks and initiate the self-improvement loop via a command-line interface.