Search Results for "net-responsibility"

linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks.

...The project is written in Rust and emphasizes modularity, allowing developers to compose different “Autos” depending on the workflow they want to build. Its architecture separates responsibility between a dynamic agent that reasons about what to do next and a static agent that plans and executes tool chains in a defined order. The repository describes this approach as a way to improve flexibility and consistency compared with simpler agent loops, while still acknowledging that the project is highly experimental and not focused on backward compatibility.