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Update docs/docs/start-here.mdx
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Co-authored-by: Maxime Vdb <[email protected]>
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amn41 and m-vdb authored Jul 25, 2023
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Expand Up @@ -172,7 +172,7 @@ As an example, let's look at using a yes/no question to fill a slot called `late
</Chat>


When a user answers "yes" or "no", an NLU model predicts an intent like `affirm` or `deny`.
When a user answers "yes" or "no", a traditional NLU model predicts an intent like `affirm` or `deny`.
A second step (usually handled by the dialogue manager) then maps the intents to
the `True/False` values of the `late_delivery` slot.

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