Merge pull request #283555 from mrbullwinkle/mrb_08_01_2024_batch-005

[Azure OpenAI] [Release branch] updates

Author: prmerger-automator[bot]

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

@@ -212,7 +212,6 @@ The following models support global batch:
 | Model | Version | Input format |
 |---|---|
 |`gpt-4o` | 2024-05-13 |text + image |
-|`gpt-4o-mini` | 2024-07-18 |text + image |
 |`gpt-4` | turbo-2024-04-09 | text |
 |`gpt-4` | 0613 | text |
 | `gpt-35-turbo` | 0125 | text |

articles/ai-services/openai/how-to/batch.md

@@ -6,7 +6,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: 
 ms.topic: how-to
-ms.date: 08/01/2024
+ms.date: 08/04/2024
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -53,7 +53,6 @@ The following models support global batch:
 | Model | Version | Supported |
 |---|---|
 |`gpt-4o` | 2024-05-13 |Yes (text + vision) |
-|`gpt-4o-mini` | 2024-07-18 |Yes (text + vision) |
 |`gpt-4` | turbo-2024-04-09 | Yes (text only) |
 |`gpt-4` | 0613 | Yes |
 | `gpt-35-turbo` | 0125 | Yes |
@@ -81,7 +80,7 @@ In the Studio UI the deployment type will appear as `Global-Batch`.
 :::image type="content" source="../media/how-to/global-batch/global-batch.png" alt-text="Screenshot that shows the model deployment dialog in Azure OpenAI Studio with Global-Batch deployment type highlighted." lightbox="../media/how-to/global-batch/global-batch.png":::
 
 > [!TIP]
-> Each line of your input file for batch processing requires the unique **deployment name** that you chose during model deployment to be present. This value wil be assigned to the `model` parameter. This is different from OpenAI where the concept of model deployments does not exist.
+> Each line of your input file for batch processing requires the unique **deployment name** that you chose during model deployment to be present. This value wil be assigned to the `model` attribute. This is different from OpenAI where the concept of model deployments does not exist.
 
 ::: zone pivot="programming-language-ai-studio"
 
@@ -132,7 +131,7 @@ In the Studio UI the deployment type will appear as `Global-Batch`.
 
 ### Can images be used with the batch API?
 
-This capability is limited to certain multi-modal models. Currently only GPT-4o and GPT-4o mini support images as part of batch requests. Images can be provided as input either via [image url or a base64 encoded representation of the image](#input-format). Images for batch are currently not supported with GPT-4 Turbo.
+This capability is limited to certain multi-modal models. Currently only GPT-4o support images as part of batch requests. Images can be provided as input either via [image url or a base64 encoded representation of the image](#input-format). Images for batch are currently not supported with GPT-4 Turbo.
 
 ### Can I use the batch API with fine-tuned models?
 

articles/ai-services/openai/includes/batch/batch-python.md

@@ -59,7 +59,7 @@ Like [fine-tuning](../../how-to/fine-tuning.md), global batch uses files in JSON
 
 The `custom_id` is required to allow you to identify which individual batch request corresponds to a given response. Responses won't be returned in identical order to the order defined in the `.jsonl` batch file.
 
-`model` should be set to match the **model deployment name** of the global batch model you wish to target for inference responses.
+`model` attribute should be set to match the name of the Global Batch deployment you wish to target for inference responses.
 
 ### Create input file
 

articles/ai-services/openai/includes/batch/batch-rest.md

@@ -48,7 +48,7 @@ Like [fine-tuning](../../how-to/fine-tuning.md), global batch uses files in JSON
 
 The `custom_id` is required to allow you to identify which individual batch request corresponds to a given response. Responses won't be returned in identical order to the order defined in the `.jsonl` batch file.
 
-`model` should be set to match the **model deployment name** of the global batch model you wish to target for inference responses.
+`model` attribute should be set to match the name of the Global Batch deployment you wish to target for inference responses.
 
 ### Create input file
 

articles/ai-services/openai/includes/batch/batch-studio.md

@@ -48,7 +48,7 @@ Like [fine-tuning](../../how-to/fine-tuning.md), global batch uses files in JSON
 
 The `custom_id` is required to allow you to identify which individual batch request corresponds to a given response. Responses won't be returned in identical order to the order defined in the `.jsonl` batch file.
 
-`model` should be set to match the **model deployment name** of the global batch model you wish to target for inference responses.
+`model` attribute should be set to match the name of the Global Batch deployment you wish to target for inference responses.
 
 ### Create input file
 

articles/ai-services/openai/includes/global-batch-limits.md

@@ -23,7 +23,6 @@ The table shows the batch quota limit. Quota values for global batch are represe
 |Model|Enterprise agreement|Default| Monthly credit card based subscriptions | MSDN subscriptions | Azure for Students, Free Trials |
 |---|---|---|---|---|---|
 | `gpt-4o` | 5 B | 50 M | 1.35 M | 90 K | N/A|
-| `gpt-4o-mini` | 1 B | 40 M | 20 M | 2 M | N/A|
 | `gpt-4-turbo`<sup>*</sup> | 300 M | 40 M | 1.35 M | 90 K | N/A |
 | `gpt-4` | 150 M | 5 M | 200 K | 100 K | N/A |
 | `gpt-35-turbo` | 10 B | 100 M | 5 M | 2 M | 50 K |