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The `twitter/the-algorithm` repository hosts the open-source codebase for X's Recommendation Algorithm. Its primary purpose is to define the intricate set of services and jobs responsible for curating
We welcome contributions from the community to help improve X's Recommendation Algorithm. Your suggestions and expertise are invaluable in making X better.
The X Recommendation Algorithm, as detailed in the `twitter/the-algorithm` repository, is architected as a comprehensive system of interconnected services and jobs. It is designed to efficiently gener
Navi is a high-performance, machine learning model serving framework written in Rust. It serves as a critical component within X's recommendation algorithm, playing the role of a "Software framework"
The `trust-and-safety-models` component within the X Recommendation Algorithm is a critical suite of machine learning models designed to uphold platform integrity by identifying and mitigating harmful
`twml` (Twitter Machine Learning) is a legacy machine learning framework built on **TensorFlow v1**. It serves as a comprehensive Python wrapper designed to streamline common machine learning tasks an
This page details the crucial data transformation mechanisms within Navi, focusing on its `segdense` and `dr_transform` components. These components are essential for preparing incoming data for machi
Navi, X's high-performance machine learning model serving framework, is primarily written in Rust. This page outlines the process for building and testing its Rust-based components, namely `segdense`,