Deploy Fine-Tuned Model publishes a trained model so it can be used in automations, completing the model-customization lifecycle that begins with Schedule Fine-Tuning Job.

Overview

Deploy Fine-Tuned Model is the second half of the model-customization lifecycle in the Unify AI toolkit. After a fine-tuning job has produced a trained model, this operation makes it available for use. It does not accept training settings and does not run training — it acts only on a model that has already been prepared and trained.

Use it after each successful training run to update the live model. Together with Schedule Fine-Tuning Job, it supports a repeatable retraining-and-deployment cycle: schedule retraining as your data grows, then deploy each result to keep the live model current.

Input

Output

Returns confirmation that the model has been deployed and is available for use in automations. Automations that reference this model will use the newly deployed version.

Notes

• Deploy Fine-Tuned Model does not run or configure training — it only publishes a model that is already trained.

• The model must be the output of a completed fine-tuning job before it can be deployed.

• Use Schedule Fine-Tuning Job to set up the training step that precedes this operation.

• Completing a fine-tuning run does not automatically publish the result — this operation must be called explicitly after each training cycle.

• Test automations that depend on the model after each deploy to confirm behavior with the new version.