Merge pull request #3032 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-ai-docs (branch main)

Author: Taojunshen

articles/ai-services/openai/monitor-openai-reference.md

@@ -31,10 +31,9 @@ Here are the most important metrics we think you should monitor for Azure OpenAI
 - Prompt Token Cache Match Rate
 - Time to Response
 - Time Between Tokens
-
 - Time to Last Byte
-
-- Normalized Time to First Byte 
+- Normalized Time to First Byte
+- Tokens per Second
 
 You can also monitor Content Safety metrics that are used by other Azure AI services. 
 - Blocked Volume

articles/machine-learning/how-to-create-component-pipeline-python.md

@@ -166,7 +166,7 @@ Now, you've prepared all source files for the `Train Image Classification Keras`
 
 ### Create the score-model component
 
-In this section, other than the previous components, you'll create a component to score the trained model via Yaml specification and script.
+In this section, other than the previous components, you'll create a component to score the trained model via YAML specification and script.
 
 If you're following along with the example in the [Azure Machine Learning examples repo](https://github.com/Azure/azureml-examples/tree/main/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet), the source files are already available in `score/` folder. This folder contains three files to construct the component:
 
@@ -183,7 +183,7 @@ The `score.py` file contains a normal Python function, which performs the traini
 
 The code in score.py takes three command-line arguments: `input_data`, `input_model` and `output_result`. The program score the input model using input data and then output the scoring result.
 
-#### Define component via Yaml
+#### Define component via YAML
 
 In this section, you'll learn to create a component specification in the valid YAML component specification format. This file specifies the following information:
 

articles/machine-learning/reference-automl-images-cli-instance-segmentation.md

@@ -25,7 +25,7 @@ The source JSON schema can be found at https://azuremlsdk2.blob.core.windows.net
 
 ## YAML syntax
 
-For information on all the keys in Yaml syntax, see [Yaml syntax](./reference-automl-images-cli-classification.md#yaml-syntax) of image classification task. Here we only describe the keys that have different values as compared to what's specified for image classification task.
+For information on all the keys in YAML syntax, see [YAML syntax](./reference-automl-images-cli-classification.md#yaml-syntax) of image classification task. Here we only describe the keys that have different values as compared to what's specified for image classification task.
 
 | Key | Type | Description | Allowed values | Default value |
 | --- | ---- | ----------- | -------------- | ------------- |

articles/machine-learning/reference-automl-images-cli-multilabel-classification.md

@@ -26,7 +26,7 @@ The source JSON schema can be found at https://azuremlsdk2.blob.core.windows.net
 
 ## YAML syntax
 
-For information on all the keys in Yaml syntax, see [Yaml syntax](./reference-automl-images-cli-classification.md#yaml-syntax) of image classification task. Here we only describe the keys that have different values as compared to what's specified for image classification task.
+For information on all the keys in YAML syntax, see [YAML syntax](./reference-automl-images-cli-classification.md#yaml-syntax) of image classification task. Here we only describe the keys that have different values as compared to what's specified for image classification task.
 
 | Key | Type | Description | Allowed values | Default value |
 | --- | ---- | ----------- | -------------- | ------------- |

articles/machine-learning/reference-automl-images-cli-object-detection.md

@@ -26,7 +26,7 @@ The source JSON schema can be found at https://azuremlsdk2.blob.core.windows.net
 
 ## YAML syntax
 
-For information on all the keys in Yaml syntax, see [Yaml syntax](./reference-automl-images-cli-classification.md#yaml-syntax) of image classification task. Here we only describe the keys that have different values as compared to what's specified for image classification task.
+For information on all the keys in YAML syntax, see [YAML syntax](./reference-automl-images-cli-classification.md#yaml-syntax) of image classification task. Here we only describe the keys that have different values as compared to what's specified for image classification task.
 
 | Key | Type | Description | Allowed values | Default value |
 | --- | ---- | ----------- | -------------- | ------------- |

articles/machine-learning/v1/azure-machine-learning-release-notes.md

@@ -2780,7 +2780,7 @@ At the time, of this release, the following browsers are supported: Chrome, Fire
 
 + **New features**
   + Introduced FileDataset, which references single or multiple files in your datastores or public urls. The files can be of any format. FileDataset provides you with the ability to download or mount the files to your compute.
-  + Added Pipeline Yaml Support for PythonScript Step, Adla Step, Databricks Step, DataTransferStep, and AzureBatch Step
+  + Added Pipeline YAML Support for PythonScript Step, Adla Step, Databricks Step, DataTransferStep, and AzureBatch Step
 
 + **Bug fixes and improvements**
   + **azureml-automl-core**