Okuzeka
Artificial Intelligence & Machine Learning vocabulary · Deployment and MLOps

Roll out

Meaning in artificial intelligence & machine learning, with examples

/ˌroʊl ˈaʊt/phrasal verbCommon term

In artificial intelligence & machine learning, roll out means: To make a new model, feature or version available to users, often in stages, starting with a small share of traffic and growing as long as the metrics look good.

In Turkish: kademeli olarak yayına almak, kullanıma sunmak, devreye almak

How it is used

The noun is written as one word: a rollout. Teams talk about a gradual or staged rollout, rolling out to 5% of users and pausing a rollout. The opposite action is roll back, which means returning to the previous version.

Example sentences

  1. We'll roll out the new recommendation model to 10% of users first.

  2. The model was rolled out in Turkey last week and in Germany this week.

Common collocations

  • roll out gradually
  • staged rollout
  • roll out to all users
  • roll back
  • deployTo put a trained model into a real system so that users or other software can send it requests and receive predictions.
  • MLOpsThe practices and tools for running machine learning reliably in production: versioning data and models, automating training and deployment, and monitoring models over time.
  • endpointA URL where a deployed model can be reached over a network: other software sends a request to it and receives the model's prediction or answer.
  • data driftA change over time in the data a deployed model receives, compared with the data it was trained on, which can slowly make its predictions worse.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Deployment and MLOps

Practise with graded reading

Reading at the right level is the fastest way to make new words stick. Pick free English books by level: