You develop a Conversational Azure AI Language Understanding model by using Language Studio. During testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the

Question

Options

• AEnable active learning.
• BAdd examples to the custom intents.
• CAdd examples to the None intent
• DAdd entities.

• A
  3% (1)
• B
  15% (5)
• C
  74% (25)
• D
  9% (3)

Explanation

https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/conversational-langu age-understanding/concepts/none-intent#adding-examples-to-the-none-intent The None intent is also treated like any other intent in your project. If there are utterances that you want predicted as None, consider adding similar examples to them in your training data. For example, if you would like to categorize utterances that are not important to your project as None, such as greetings, yes and no answers, responses to questions such as providing a number, then add those utterances to your intent. You should also consider adding false positive examples to the None intent. For example, in a flight booking project it is likely that the utterance "I want to buy a book" could be confused with a Book Flight intent. Adding "I want to buy a book" or "I love reading books" as None training utterances helps alter the predictions of those types of utterances towards the None intent instead of Book Flight.

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