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The Thresholds feature provides configurable score boundaries that determine how the NLU model interprets and classifies user inputs based on their Intent. This feature enables precise control over Intent recognition, ensuring the NLU can confidently identify Intents, prompt for reconfirmation when needed, or reject unclear inputs.

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Key Benefits

  • Improved Accuracy. Adjustable thresholds enhance the reliability of Intent mapping by setting clear confidence levels.
  • Flexible Control. You can fine-tune the system’s sensitivity to match specific use cases or performance needs.

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Prerequisites

Before using thresholds, ensure the following:
  • An active Flow is set up within the Project.
  • Intents are defined to allow the NLU to classify user inputs.

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How to Use

Explore threshold types, then set them up.

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Explore Threshold Types

TypeDescription
Confidence ThresholdIntents with a score higher than this threshold are considered as confirmed.
Reconfirmation ThresholdIntents with a score higher than the reconfirmation threshold but lower than the confidence threshold require reconfirmation.
Not Found ThresholdIntents with a score lower than the reconfirmation threshold aren’t considered.

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Reconfirmation Threshold Specifics

The reconfirmation threshold behaves differently depending on whether a confirmation sentence exists in your Intent:
  • With a confirmation sentence, the reconfirmation threshold triggers the reconfirmation sentence.
  • Without a confirmation sentence, the reconfirmation threshold confirms the user input.

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Set up Thresholds

Thresholds can be configured at either the Flow or Project level. To set them up:
  • Flow level
  • Project level
  1. In the Flow editor, go to Settings > Configuration.
  2. Activate the Thresholds option. As soon as activated, this option overrides the Thresholds values set up at the Project level.
  3. Adjust the threshold sliders:
    • Reconfirmation Threshold (default: 0.2):
      • Move the slider left to increase reconfirmation prompts.
      • Move the slider right to reduce reconfirmation prompts.
    • Confidence Threshold (default: 0.4):
      • Move the slider left to allow lower-confidence matches.
      • Move the slider right to require higher confidence for matches.

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Example

Imagine a user asks Can you book a flight? in the chat with the AI Agent. The NLU model assigns a score to the BookFlight Intent:
ScoreThreshold RangeOutcomeAI Agent Response
0.5Above confidence threshold (0.4)The Intent is confirmed and the conversation proceeds.—
0.3Between reconfirmation threshold (0.2) and confidence threshold (0.4)AI Agent seeks confirmation.Did you mean to book a flight?
0.1Below reconfirmation threshold (0.2)The Intent not recognized.I'm not sure what you mean.

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