Merge branch 'MicrosoftDocs:main' into Broken-links-fix-vibansa

Author: Albertyang0

articles/ai-services/openai/concepts/models.md

@@ -54,10 +54,10 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
 | `gpt-4` (0125-Preview)*<br>**GPT-4 Turbo Preview** | **Preview Model** <br> -Replaces 1106-Preview <br>- Better code generation performance <br> - Reduces cases where the model doesn't complete a task <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 128,000  <br> Output: 4,096           | Dec 2023         |
 | `gpt-4` (vision-preview)<br>**GPT-4 Turbo with Vision Preview**  | **Preview model** <br> - Accepts text and image input. <br> - Supports enhancements <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 128,000  <br> Output: 4,096              | Apr 2023       |
 | `gpt-4` (1106-Preview)<br>**GPT-4 Turbo Preview** | **Preview Model** <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 128,000  <br> Output: 4,096 | Apr 2023         |
-| `gpt-4-32k` (0613) | **Older GA model** <br> - Basic function calling with tools | 32,768               | Sep 2021         |
+| `gpt-4-32k` (0613) | **Older GA model** <br> - Basic function calling with tools  | 32,768               | Sep 2021         |
 | `gpt-4` (0613)     | **Older GA model** <br> - Basic function calling with tools | 8,192                | Sep 2021         |
-| `gpt-4-32k`(0314)  | **Older GA model** <br> - Deprecated function calling | 32,768               | Sep 2021         |
-| `gpt-4` (0314) | **Older GA model** <br> - Deprecated function calling | 8,192 | Sep 2021         |
+| `gpt-4-32k`(0314)  | **Older GA model** <br> - [Retirement information](./model-retirements.md#current-models) | 32,768               | Sep 2021         |
+| `gpt-4` (0314) | **Older GA model** <br> - [Retirement information](./model-retirements.md#current-models)  | 8,192 | Sep 2021         |
 
 > [!CAUTION]
 > We don't recommend using preview models in production. We will upgrade all deployments of preview models to either future preview versions or to the latest stable/GA version. Models designated preview do not follow the standard Azure OpenAI model lifecycle.
@@ -76,14 +76,20 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
 
 GPT-3.5 models can understand and generate natural language or code. The most capable and cost effective model in the GPT-3.5 family is GPT-3.5 Turbo, which has been optimized for chat and works well for traditional completions tasks as well. GPT-3.5 Turbo is available for use with the Chat Completions API. GPT-3.5 Turbo Instruct has similar capabilities to `text-davinci-003` using the Completions API instead of the Chat Completions API.  We recommend using GPT-3.5 Turbo and GPT-3.5 Turbo Instruct over [legacy GPT-3.5 and GPT-3 models](./legacy-models.md).
 
-- `gpt-35-turbo`
-- `gpt-35-turbo-16k`
-- `gpt-35-turbo-instruct`
 
-You can see the token context length supported by each model in the [model summary table](#model-summary-table-and-region-availability).
+|  Model ID   | Description | Max Request (tokens) | Training Data (up to) |
+|  --------- |:---|:------:|:----:|
+| `gpt-35-turbo` (0125) **NEW** | **Latest GA Model** <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) <br> - Higher accuracy at responding in requested formats. <br> - Fix for a bug which caused a text encoding issue for non-English language function calls.  | Input: 16,385<br> Output: 4,096  | Sep 2021 |
+| `gpt-35-turbo` (1106) | **Older GA Model** <br> - JSON Mode <br> - parallel function calling <br> - reproducible output (preview) | Input: 16,385<br> Output: 4,096 |  Sep 2021|
+| `gpt-35-turbo-instruct` (0914) | **Completions endpoint only** | 4,097 |Sep 2021 |
+| `gpt-35-turbo-16k` (0613) | **Older GA Model** <br> - Basic function calling with tools | 16,384 | Sep 2021 |
+| `gpt-35-turbo` (0613) | **Older GA Model** <br> - Basic function calling with tools   | 4,096 | Sep 2021 |
+| `gpt-35-turbo`**<sup>1</sup>** (0301) |  **Older GA Model**  <br> - [Retirement information](./model-retirements.md#current-models) | 4,096 | Sep 2021 |
 
 To learn more about how to interact with GPT-3.5 Turbo and the Chat Completions API check out our [in-depth how-to](../how-to/chatgpt.md).
 
+**<sup>1</sup>** This model will accept requests > 4,096 tokens. It is not recommended to exceed the 4,096 input token limit as the newer version of the model are capped at 4,096 tokens. If you encounter issues when exceeding 4,096 input tokens with this model this configuration is not officially supported.
+
 ## Embeddings
 
  `text-embedding-3-large` is the latest and most capable embedding model. Upgrading between embeddings models is not possible. In order to move from using `text-embedding-ada-002` to `text-embedding-3-large` you would need to generate new embeddings. 
@@ -184,23 +190,12 @@ See [model versions](../concepts/model-versions.md) to learn about how Azure Ope
 > [!NOTE]
 > Version `0613` of `gpt-35-turbo` and `gpt-35-turbo-16k` will be retired no earlier than August 1, 2024. Version `0301` of `gpt-35-turbo` will be retired no earlier than August 1, 2024.  See [model updates](../how-to/working-with-models.md#model-updates) for model upgrade behavior.
 
-|  Model ID   | Max Request (tokens) | Training Data (up to) |
-|  --------- |:------:|:----:|
-| `gpt-35-turbo`**<sup>1</sup>** (0301) | 4,096 | Sep 2021 |
-| `gpt-35-turbo` (0613) | 4,096 | Sep 2021 |
-| `gpt-35-turbo-16k` (0613) | 16,384 | Sep 2021 |
-| `gpt-35-turbo-instruct` (0914) | 4,097 |Sep 2021 |
-| `gpt-35-turbo` (1106) | Input: 16,385<br> Output: 4,096 |  Sep 2021|
-| `gpt-35-turbo` (0125) **NEW** | Input: 16,385<br> Output: 4,096  | Sep 2021 |
-
 ### GPT-3.5-Turbo model availability
 
 #### Public cloud regions
 
 [!INCLUDE [GPT-35-Turbo](../includes/model-matrix/standard-gpt-35-turbo.md)]
 
-**<sup>1</sup>** This model will accept requests > 4,096 tokens. It is not recommended to exceed the 4,096 input token limit as the newer version of the model are capped at 4,096 tokens. If you encounter issues when exceeding 4,096 input tokens with this model this configuration is not officially supported.
-
 #### Azure Government regions
 
 The following GPT-3.5 turbo models are available with [Azure Government](/azure/azure-government/documentation-government-welcome):

articles/ai-services/speech-service/how-to-pronunciation-assessment.md

@@ -188,7 +188,7 @@ This table lists some of the key configuration parameters for pronunciation asse
 | `ReferenceText` | The text that the pronunciation is evaluated against.<br/><br/>The `ReferenceText` parameter is optional. Set the reference text if you want to run a [scripted assessment](#scripted-assessment-results) for the reading language learning scenario. Don't set the reference text if you want to run an [unscripted assessment](#unscripted-assessment-results).<br/><br/>For pricing differences between scripted and unscripted assessment, see [Pricing](./pronunciation-assessment-tool.md#pricing). |
 | `GradingSystem` | The point system for score calibration. `FivePoint` gives a 0-5 floating point score. `HundredMark` gives a 0-100 floating point score. Default: `FivePoint`. |
 | `Granularity` | Determines the lowest level of evaluation granularity. Returns scores for levels greater than or equal to the minimal value. Accepted values are `Phoneme`, which shows the score on the full text, word, syllable, and phoneme level, `Word`, which shows the score on the full text and word level, or `FullText`, which shows the score on the full text level only. The provided full reference text can be a word, sentence, or paragraph. It depends on your input reference text. Default: `Phoneme`.|
-| `EnableMiscue` | Enables miscue calculation when the pronounced words are compared to the reference text. Enabling miscue is optional. If this value is `True`, the `ErrorType` result value can be set to `Omission` or `Insertion` based on the comparison. Values are `False` and `True`. Default: `False`. To enable miscue calculation, set the `EnableMiscue` to `True`. You can refer to the code snippet below the table. |
+| `EnableMiscue` | Enables miscue calculation when the pronounced words are compared to the reference text. Enabling miscue is optional. If this value is `True`, the `ErrorType` result value can be set to `Omission` or `Insertion` based on the comparison. Values are `False` and `True`. Default: `False`. To enable miscue calculation, set the `EnableMiscue` to `True`. You can refer to the code snippet above the table. |
 | `ScenarioId` | A GUID for a customized point system. |
 
 ### Configuration methods
@@ -385,7 +385,7 @@ This table lists some of the key pronunciation assessment results for the script
 | `FluencyScore` | Fluency of the given speech. Fluency indicates how closely the speech matches a native speaker's use of silent breaks between words. | Full Text level |
 | `CompletenessScore` | Completeness of the speech, calculated by the ratio of pronounced words to the input reference text. |Full Text level|
 | `ProsodyScore` | Prosody of the given speech. Prosody indicates how natural the given speech is, including stress, intonation, speaking speed, and rhythm. | Full Text level|
-| `PronScore` | Overall score of the pronunciation quality of the given speech. `PronScore` is aggregated from `AccuracyScore`, `FluencyScore`, and `CompletenessScore` with weight. |Full Text level|
+| `PronScore` | Overall score of the pronunciation quality of the given speech. `PronScore` is calculated from `AccuracyScore`, `FluencyScore`, `CompletenessScore`, and `ProsodyScore` with weight, provided that `ProsodyScore` and `CompletenessScore` are available. If either of them isn't available, `PronScore` won't consider that score.|Full Text level|
 | `ErrorType` | This value indicates the error type compared to the reference text. Options include whether a word is omitted, inserted, or improperly inserted with a break. It also indicates a missing break at punctuation. It also indicates whether a word is badly pronounced, or monotonically rising, falling, or flat on the utterance. Possible values are `None` for no error on this word, `Omission`, `Insertion`, `Mispronunciation`, `UnexpectedBreak`, `MissingBreak`, and `Monotone`. The error type can be `Mispronunciation` when the pronunciation `AccuracyScore` for a word is below 60.| Word level|
 
 #### Unscripted assessment results
@@ -405,7 +405,7 @@ This table lists some of the key pronunciation assessment results for the unscri
 | `VocabularyScore`  | Proficiency in lexical usage. It evaluates the speaker's effective usage of words and their appropriateness within the given context to express ideas accurately, and the level of lexical complexity. | Full Text level |
 | `GrammarScore`     | Correctness in using grammar and variety of sentence patterns. Lexical accuracy, grammatical accuracy, and diversity of sentence structures jointly elevate grammatical errors. | Full Text level|
 | `TopicScore`       | Level of understanding and engagement with the topic, which provides insights into the speaker’s ability to express their thoughts and ideas effectively and the ability to engage with the topic. | Full Text level|
-| `PronScore`        | Overall score of the pronunciation quality of the given speech. This value is aggregated from `AccuracyScore`, `FluencyScore`, and `CompletenessScore` with weight. | Full Text level |
+| `PronScore`        | Overall score of the pronunciation quality of the given speech. `PronScore` is calculated from `AccuracyScore`, `FluencyScore`, and `ProsodyScore` with weight, provided that `ProsodyScore` is available. If `ProsodyScore` isn't available, `PronScore` won't consider that score.| Full Text level |
 | `ErrorType`        | A word is badly pronounced, improperly inserted with a break, or missing a break at punctuation. It also indicates whether a pronunciation is monotonically rising, falling, or flat on the utterance. Possible values are `None` for no error on this word, `Mispronunciation`, `UnexpectedBreak`, `MissingBreak`, and `Monotone`. | Word level |
 
 The following table describes the prosody assessment results in more detail:

articles/ai-services/speech-service/includes/how-to/professional-voice/train-voice/speech-studio.md

@@ -256,7 +256,7 @@ To copy your custom neural voice model to another project:
 
    :::image type="content" source="../../../../media/custom-voice/cnv-model-copy.png" alt-text="Screenshot of the copy to project option.":::
 
-1. Select the **Region**, **Speech resource**, and **Project** where you want to copy the model. You must have a speech resource and project in the target region, otherwise you need to create them first.
+1. Select the **Subscription**, **Region**, **Speech resource**, and **Project** where you want to copy the model. You must have a speech resource and project in the target region, otherwise you need to create them first.
 
     :::image type="content" source="../../../../media/custom-voice/cnv-model-copy-dialog.png" alt-text="Screenshot of the copy voice model dialog.":::