---
sourceDocument: Xanadu Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/xanadu/intelligent-experiences

 Release :

    - xanadu

ft:locale :

    - en-US

ft:publication_title :

    - Xanadu Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Creating models

# Creating models {#ariaid-title1}

* Release version: Xanadu
* 
* Updated August 1, 2024
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

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.  
Note:  
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 WorkbenchModels. The Virtual Agent tab opens by default. Select the appropriate tab for the model you want to create.

## New model creation {#creating-models__section_crx_jhy_prb}

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](https://servicenow-prod.fluidtopics.net/a6ZK3spWrvocJVl0az8G1A "Use the prebuilt Natural Language Understanding (NLU) models in the NLU Workbench to create a new one."): Copy a prebuilt model and its contents as a starting point for your new model.
* [Create an NLU model from a CSV file](https://servicenow-prod.fluidtopics.net/1Ve79HRIhe0kr5CVc1t4CA "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."): Upload a CSV file containing a list of intents and corresponding utterances.
* [Create an NLU model from blank](https://servicenow-prod.fluidtopics.net/4etldWZxv_F~Yz9X_c075w "Create a Natural Language Understanding (NLU) model from scratch. Start with an empty model to have full control over the model's content."): Build a model from scratch and add intents and utterances as you go.
{#creating-models__ul_vjk_mhy_prb}

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](https://servicenow-prod.fluidtopics.net/JsS8ENhBUq~PRpyhSM2UIg "After creating a model, build the model's content by adding intents, entities, vocabulary, and test set utterances. Your NLU model content determines how the model responds to user inputs.").

## Duplicating, exporting, and updating {#creating-models__section_wfr_mhy_prb}

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](https://servicenow-prod.fluidtopics.net/f8OK2m1BNTFwV6zBkDKg0w "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."): Copy a model to create a model with the same content.
* [Export an NLU model](https://servicenow-prod.fluidtopics.net/WMHbxAiMV180koR8qopazQ "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."): 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](https://servicenow-prod.fluidtopics.net/~ry9LGqhA0g0s9KzSjqjpg "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."): Add a model and its artifacts to an update set to transfer the model across instances.
{#creating-models__ul_r25_fjm_qrb}
* **[Create an NLU model from blank](https://servicenow-prod.fluidtopics.net/4etldWZxv_F~Yz9X_c075w)**   
  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](https://servicenow-prod.fluidtopics.net/1Ve79HRIhe0kr5CVc1t4CA)**   
  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](https://servicenow-prod.fluidtopics.net/a6ZK3spWrvocJVl0az8G1A)**   
  Use the prebuilt Natural Language Understanding (NLU) models in the NLU Workbench to create a new one.
* **[Duplicate an NLU model](https://servicenow-prod.fluidtopics.net/f8OK2m1BNTFwV6zBkDKg0w)**   
  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](https://servicenow-prod.fluidtopics.net/WMHbxAiMV180koR8qopazQ)**   
  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](https://servicenow-prod.fluidtopics.net/~ry9LGqhA0g0s9KzSjqjpg)**   
  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](https://servicenow-prod.fluidtopics.net/fz4Clgg0~WmWR4xI7rFXag)**   
  Delete a Natural Language Understanding (NLU) model permanently.

*[\>]: and then