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## Address out-of-domain utterances
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Customers can use the new recipe version `2024-06-01-preview` if the model has poor AIQ on out-of-domain utterances. An example of this scenario with the default recipe can be like the following example where the model has three intents: `Sports`, `QueryWeather`, and `Alarm`. The test utterances are out-of-domain utterances and the model classifies them as `InDomain` with a relatively high confidence score.
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Customers can use the newly updated recipe version `2024-08-01-preview` (previously `2024-06-01-preview`) if the model has poor AIQ on out-of-domain utterances. An example of this scenario with the default recipe can be like the following example where the model has three intents: `Sports`, `QueryWeather`, and `Alarm`. The test utterances are out-of-domain utterances and the model classifies them as `InDomain` with a relatively high confidence score.
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| Text | Predicted intent | Confidence score |
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|----|----|----|
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| "Who built the Eiffel Tower?" |`Sports`| 0.90 |
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| "Do I look good to you today?" |`QueryWeather`| 1.00 |
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| "I hope you have a good evening." |`Alarm`| 0.80 |
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To address this scenario, use the `2024-06-01-preview` configuration version that's built specifically to address this issue while also maintaining reasonably good quality on `InDomain` utterances.
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To address this scenario, use the `2024-08-01-preview` configuration version that's built specifically to address this issue while also maintaining reasonably good quality on `InDomain` utterances.
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