Creating models

Creating models is the first step to taking advantage of Natural Language Understanding (NLU) in your instances. Create models for Virtual Agent and AI Search in the NLU Workbench.

You create NLU models for consumption by the ServiceNow applications Virtual Agent or AI Search.

Remarque :

For Issue Auto Resolution, a prebuilt model is provided for you to configure.

To start creating models, set your scope to the application scope you want for your new model. Then navigate to NLU Workbench > Models. The Virtual Agent tab opens by default. Select the appropriate tab for the model you want to create.

New model creation

When you select the Create new model button, a modal opens to display your model creation options. Start by selecting one of the icons:

• Create an NLU model using a pre-built model: Copy a prebuilt model and its contents as a starting point for your new model.
• Create an NLU model from a CSV file: Upload a CSV file containing a list of intents and corresponding utterances.
• Create an NLU model from blank: Build a model from scratch and add intents and utterances as you go.

After creating, add content to your model. The intents, utterances, entities, and vocabulary you add helps improve the model's ability to interpret natural language. See Build and train your model.

Duplicating, exporting, and updating

After creating a model, you have options to use that model across other models and instances. With the NLU Workbench, you can perform the following actions with your models:

• Duplicate an NLU model: Copy a model to create a model with the same content.
• Export an NLU model: Export a model as a CSV file containing the associated utterances and intents. Share the model or use it to create one.
• Add an NLU model to an update set: Add a model and its artifacts to an update set to transfer the model across instances.

• Create an NLU model from blank
  Create a Natural Language Understanding (NLU) model from scratch. Start with an empty model to have full control over the model's content.
• Create an NLU model from a CSV file
  Upload a CSV or XLSX (Excel Workbook) file containing utterances and their intents to create a Natural Language Understanding (NLU) model. Use this method to quickly create models from your data or other exported models.
• Create an NLU model using a pre-built model
  Use the prebuilt Natural Language Understanding (NLU) models in the NLU Workbench to create a new one.
• Duplicate an NLU model
  Duplicate an existing Natural Language Understanding (NLU) model to create a new one. Duplicating a model copies the settings and contents of the original model, including its default test set.
• Export an NLU model
  Export a Natural Language Understanding (NLU) model to create a CSV file of the intents and utterances. You can then use the CSV file to edit, share, and import.
• Add an NLU model to an update set
  Use update sets to move your Natural Language Understanding (NLU) models from one instance to another. Update sets include all records needed for your model to function on the target instance.
• Delete an NLU model
  Delete a Natural Language Understanding (NLU) model permanently.