Update articles/cognitive-services/Face/ReleaseNotes.md

Co-authored-by: Patrick Farley <[email protected]>

Author: lucia-msft

articles/cognitive-services/Face/ReleaseNotes.md

@@ -47,7 +47,7 @@ The Azure Face service is updated on an ongoing basis. Use this article to stay
 ### New detectable Face attributes
 * The `faceMask` attribute is available with the latest Detection 03 model, along with the additional attribute `"noseAndMouthCovered"` which detects whether the face mask is worn as intended, covering both the nose and mouth. To use the latest mask detection capability, users need to specify the detection model in the API request: assign the model version with the _detectionModel_ parameter to `detection_03`. See [Specify a face detection model](./face-api-how-to-topics/specify-detection-model.md) for more details.
 ### New Face API Recognition Model
-* The new Recognition 04 model is the most accurate recognition model currently available. If you're a new customer, we recommend using this model for verification and identification. It improves upon the accuracy of Recognition 03, including improved recognition for users wearing face covers (surgical masks, N95 masks, cloth masks). Note that we do NOT recommend enrolling images of users wearing face covers as this will lower recognition quality. Now customers can build safe and seamless user experiences that detect whether an enrolled user is wearing a face cover with the latest Detection 03 model, and recognize them with the latest Recognition 04 model. See [Specify a face recognition model](./face-api-how-to-topics/specify-recognition-model.md) for more details.
+* The new Recognition 04 model is the most accurate recognition model currently available. If you're a new customer, we recommend using this model for verification and identification. It improves upon the accuracy of Recognition 03, including improved recognition for users wearing face covers (surgical masks, N95 masks, cloth masks). Note that we do not recommend enrolling images of users wearing face covers as this will lower recognition quality. Now customers can build safe and seamless user experiences that detect whether an enrolled user is wearing a face cover with the latest Detection 03 model, and recognize them with the latest Recognition 04 model. See [Specify a face recognition model](./face-api-how-to-topics/specify-recognition-model.md) for more details.
 
 
 ## January 2021