This high-level diagram explains the feedback loop for Horizon. First, we preprocess some data that the existing system has logged. Then, we train a model and analyze the counterfactual policy results in an offline setting. Finally, we deploy the model to a group of people and measure the true policy. The data from the new model feeds back into the next iteration, and most teams deploy a new model daily.
Meta believes in building community through open source technology. Explore our latest projects in Artificial Intelligence, Data Infrastructure, Development Tools, Front End, Languages, Platforms, Security, Virtual Reality, and more.