Class Manager

Teneo offers a wide range of Match requirements to add to your trigger. One of them is the Machine Learning-based Class. We know from the previous page, Your First Flow, how to generate a Class while working on a flow. This chapter will be about maintaining these classes.

Located in the Solution Dashboard is the 'Classes' tile. Clicking it will open the Class Manager, which looks like this:

Here you can see a list of the classes inside the solution. The filter can be used to quickly locate specific classes. Selecting one will let the user see and edit the training examples used in that class.

It's important to acknowledge that the training data is inside the Class Manager; changing it will fully affect the flow using the class.

Add a training example

If we select the 'TELL_ME_ABOUT_YOUR_COFFEE' class, we can see that the solution doesn't have training data for the coffee type 'Cortado', even though it is a popular coffee type.

If we want to add this coffee type inside the Class we'll need to do the following.

1. Open the 'Class Manager' and select 'TELL_ME_ABOUT_YOUR_COFFEE' class.
2. Click on 'Add Training Example' and add Do you serve Cortado?
   .
3. Hit 'Save'.

Now you'll see the before and after we added training data for the coffee type 'Cortado'.

When you go back to the Tryout window you'll see a small text saying, 'Model training in progress', this indicates that the changes you've made are saved and the platform is currently re-training the classes in the machine learning model. This will change to 'Model update completed' when it's done.

Add a test example

It is important to note that training examples can only be added from the Class Manager page once the Class has been created. It is not possible to add training examples from the flow editor page. This will only add 'Test Data' that will be used when testing your bot and not 'Training Data'.

Teneo 7.5 introduces a new Flow User Interface in Teneo Studio Web. Images and videos will be updated gradually. Please refer to the Release Notes for a preview of the new look-and-feel.

Test data can also be viewed and added in the Class Manager itself. Let's try that now.

1. Open the 'Class Manager' and select 'TELL_ME_ABOUT_YOUR_COFFEE' class.
2. Click on 'Add Test Example'.
3. Add the test data Do you serve espresso?
   and hit Enter.
4. Hit 'Save'.

Generate examples

Teneo's copilot features allow you to quickly generate new training and test examples with the help of Generative AI. These can be generated based on existing examples or based on the class description.

In order to enable copilot features, make sure to first define settings to use Generative AI.

Training examples

Let's generate some training examples based on existing examples.

1. Open the Class Manager and select the 'TELL_ME_ABOUT_YOUR_COFFEE' class.
2. Click on 'Generate Training Examples'.
3. Select whether you want to generate examples based on existing examples or based on the description, and how many examples you'd like to generate.
4. Click on 'Generate'.

The new examples are displayed in a preview window where you can review them first. If you are happy with the examples, you add them by clicking 'Apply'. Then they are added to the list of examples with a yellow highlighting line to distinguish them from previously existing examples.

Test examples

Just like training examples, test examples can be generated either based on existing examples or a description. Let's try the latter approach this time.

1. While still in Edit mode, switch to the Test examples tab.
2. Click on 'Generate Test Examples' and select the option to generate based on a description.
3. Enter a description, such as The user asks questions about which types of coffee you serve
   .
4. Click on 'Generate'.

Just as before, the newly generated examples are displayed in the preview window where you can review them first. Click 'Apply' to add them to the list of examples. The new examples will be marked with a yellow highlighting.