Create an NLU model from blank

  • リリースバージョン: Australia
  • 更新日 2026年03月12日
  • 所要時間:2分
  • Create a Natural Language Understanding (NLU) model from scratch. Start with an empty model to have full control over the model's content.

    始める前に

    • Make sure that the NLU Workbench plugin, NLU Workbench - Core plugin, and Predictive Intelligence plugin are all installed and activated on your instance.
    • You can create NLU models for Virtual Agent and AI Search.
    • Role required: nlu_admin or admin

    このタスクについて

    In this example procedure, you're building an NLU model to help Virtual Agent understand human-expressed intent regarding Human Resources.

    手順

    1. Set your scope to the application scope you want for your model.
    2. Navigate to All > NLU Workbench > Models.
      The Virtual Agent tab opens by default.
    3. Select the tab for the type of model you want to create, such as AI Search.
    4. Select the Create new model button.
    5. In the Add some details window, select the Start from blank button.
    6. In the define details page, enter a unique Name and Short description.
      Window for creating an NLU model from blank. Fill in the model details such as the language and purpose.
      In this example scenario, you enter HR Model for Virtual Agent for the name and Natural language for Human Resources user requests for the description.
    7. Select the language and purpose from the drop-down lists.
      In this example scenario, select English and Virtual Agent.
    8. オプション: Select a business area for your model.
    9. Select Next.
      Your model starts building. When complete, select View model to open the Model details page for your new model.

    次のタスク

    図 : 1. Model details page
    Model details page after creating a model from blank.

    Your new model contains no content. Select Add content to begin adding intents, entities, and vocabulary. For more information, see Build and train your model.

    Add test utterances and intents to build the model's default test set. For more information, see Test set creation and management.