Merge pull request #267061 from MicrosoftDocs/main

2/23 11:00 AM  IST Publish

Author: Saisang

articles/ai-services/cognitive-services-support-options.md

@@ -6,7 +6,7 @@ author: PatrickFarley
 manager: nitinme
 ms.service: azure-ai-services
 ms.topic: conceptual
-ms.date: 06/28/2022
+ms.date: 02/22/2024
 ms.author: pafarley
 ---
 

articles/ai-services/containers/azure-container-instance-recipe.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.custom: devx-track-azurecli
 ms.service: azure-ai-services
 ms.topic: how-to
-ms.date: 12/18/2020
+ms.date: 02/22/2024
 ms.author: aahi
 # https://github.com/Azure/cognitiveservices-aci
 #Customer intent: As a potential customer, I want to know more about how Azure AI services provides and supports Docker containers for each service.

articles/ai-services/containers/container-reuse-recipe.md

@@ -7,7 +7,7 @@ author: aahill
 manager: nitinme
 ms.service: azure-ai-services
 ms.topic: how-to
-ms.date: 10/28/2021
+ms.date: 02/22/2024
 ms.author: aahi
 #Customer intent: As a potential customer, I want to know how to configure containers so I can reuse them.
 ---

articles/ai-services/containers/docker-compose-recipe.md

@@ -7,7 +7,7 @@ author: aahill
 manager: nitinme
 ms.service: azure-ai-services
 ms.topic: how-to
-ms.date: 10/29/2020
+ms.date: 02/22/2024
 ms.author: aahi
 
 # SME: Brendan Walsh

articles/ai-services/create-account-terraform.md

@@ -12,6 +12,7 @@ author: TomArcherMsft
 ms.author: tarcher
 content_well_notification: 
   - AI-contribution
+ai-usage: ai-assisted
 ---
 
 # Quickstart: Create an Azure AI services resource using Terraform

articles/ai-services/openai/assistants-reference-runs.md

@@ -37,7 +37,6 @@ Create a run.
 | `assistant_id` | string | Required | The ID of the assistant to use to execute this run. |
 | `model` | string or null | Optional | The model deployment name to be used to execute this run. If a value is provided here, it will override the model deployment name associated with the assistant. If not, the model deployment name associated with the assistant will be used. |
 | `instructions` | string or null | Optional | Overrides the instructions of the assistant. This is useful for modifying the behavior on a per-run basis. |
-| `additional_instructions` | string or null | Optional | Appends additional instructions at the end of the instructions for the run. This is useful for modifying the behavior on a per-run basis without overriding other instructions. |
 | `tools` | array or null | Optional | Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis. |
 | `metadata` | map | Optional | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maximum of 512 characters long. |
 

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

@@ -62,7 +62,7 @@ In testing, OpenAI reports both the large and small third generation embeddings
 | MIRACL average | 31.4 | 44.0 | 54.9 |
 | MTEB average | 61.0 | 62.3 | 64.6 |
 
-The third generation embeddings models support reducing the size of the embedding via a new `dimensions` parameter. Typically larger embeddings are more expensive from a compute, memory, and storage perspective. Being able to adjust the number of dimensions allows more control over overall cost and performance. Official support for the dimensions parameter was added to the OpenAI Python library in version `1.10.0`. If you are running an earlier version of the 1.x library you will need to upgrade `pip install openai --upgrade`.
+The third generation embeddings models support reducing the size of the embedding via a new `dimensions` parameter. Typically larger embeddings are more expensive from a compute, memory, and storage perspective. Being able to adjust the number of dimensions allows more control over overall cost and performance. The `dimensions` parameter is not supported in all versions of the OpenAI 1.x Python library, to take advantage of this parameter  we recommend upgrading to the latest version: `pip install openai --upgrade`.
 
 OpenAI's MTEB benchmark testing found that even when the third generation model's dimensions are reduced to less than `text-embeddings-ada-002` 1,536 dimensions performance remains slightly better.
 

articles/ai-services/openai/concepts/provisioned-throughput.md

@@ -36,6 +36,10 @@ An Azure OpenAI Deployment is a unit of management for a specific OpenAI Model.
 | Utilization | Provisioned-managed Utilization measure provided in Azure Monitor. |
 | Estimating size | Provided calculator in the studio & benchmarking script. |
 
+## How do I get access to Provisioned?
+
+You need to speak with your Microsoft sales/account team to acquire provisioned throughput. If you don't have a sales/account team, unfortunately at this time, you cannot purchase provisioned throughput.
+
 ## Key concepts
 
 ### Provisioned throughput units

articles/aks/media/supported-kubernetes-versions/kubernetes-versions-gantt.png

@@ -9,6 +9,7 @@ author: TomArcherMsft
 ms.author: tarcher
 content_well_notification: 
   - AI-contribution
+ai-usage: ai-assisted
 ---
 
 # Quickstart: Create an Azure Analysis Services server using Terraform