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Update best-practices.md
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articles/ai-services/language-service/conversational-language-understanding/concepts/best-practices.md

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@@ -33,7 +33,7 @@ The preceding schema design makes it easy for you to extend existing capabilitie
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Another approach is to model the _information_ as intents and the _actions_ as entities. Let's take the same example of allowing your customers to cancel subscriptions through your chatbot.
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You can create an intent for each subscription available, such as _Contoso_, with utterances like "Cancel Contoso," "Stop charging me for Contoso services", and "Cancel the Contoso subscription." You then create an entity to capture the _cancel_ action. You can define different entities for each action or consolidate actions as one entity with a list component to differentiate between actions with different keys.
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You can create an intent for each subscription available, such as _Contoso_, with utterances like "Cancel Contoso," "Stop charging me for Contoso services," and "Cancel the Contoso subscription." You then create an entity to capture the _cancel_ action. You can define different entities for each action or consolidate actions as one entity with a list component to differentiate between actions with different keys.
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This schema design makes it easy for you to extend new actions to existing targets by adding new action entities or entity components.
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After the request is sent, you can track the progress of the training job in Language Studio as usual.
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> [!NOTE]
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> You have to retrain your model after you update the `confidenceThreshold` project setting. Afterwards, you need to republish the app for the new threshold to take effect.
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> You have to retrain your model after you update the `confidenceThreshold` project setting. Afterward, you need to republish the app for the new threshold to take effect.
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### Normalization in model version 2023-04-15
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