fix

Author: santiagxf

articles/ai-studio/how-to/deploy-models-cohere-command.md

@@ -1,12 +1,12 @@
 ---
-title: How to use Cohere Command chat models with Azure AI studio
-titleSuffix: Azure AI studio
-description: Learn how to use Cohere Command chat models with Azure AI studio.
+title: How to use Cohere Command chat models with Azure AI Studio
+titleSuffix: Azure AI Studio
+description: Learn how to use Cohere Command chat models with Azure AI Studio.
 ms.service: azure-ai-studio
 ms.topic: how-to
-ms.date: 08/05/2024
-ms.reviewer: kritifaujdar
-reviewer: fkriti
+ms.date: 08/08/2024
+ms.reviewer: fasantia
+reviewer: santiagxf
 ms.author: mopeakande
 author: msakande
 ms.custom: references_regions, generated
@@ -67,7 +67,7 @@ The following models are available:
 
 ## Prerequisites
 
-To use Cohere Command chat models with Azure AI studio, you need the following prerequisites:
+To use Cohere Command chat models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -101,7 +101,7 @@ Read more about the [Azure AI inference package and reference](https://aka.ms/az
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI studio with the same code and structure, including Cohere Command chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Cohere Command chat models.
 
 ### Create a client to consume the model
 
@@ -502,7 +502,7 @@ The following models are available:
 
 ## Prerequisites
 
-To use Cohere Command chat models with Azure AI studio, you need the following prerequisites:
+To use Cohere Command chat models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -534,7 +534,7 @@ npm install @azure-rest/ai-inference
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI studio with the same code and structure, including Cohere Command chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Cohere Command chat models.
 
 ### Create a client to consume the model
 
@@ -951,7 +951,7 @@ The following models are available:
 
 ## Prerequisites
 
-To use Cohere Command chat models with Azure AI studio, you need the following prerequisites:
+To use Cohere Command chat models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -1006,7 +1006,7 @@ using System.Reflection;
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI studio with the same code and structure, including Cohere Command chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Cohere Command chat models.
 
 ### Create a client to consume the model
 
@@ -1425,7 +1425,7 @@ The following models are available:
 
 ## Prerequisites
 
-To use Cohere Command chat models with Azure AI studio, you need the following prerequisites:
+To use Cohere Command chat models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -1450,7 +1450,7 @@ Models deployed with the [Azure AI model inference API](https://aka.ms/azureai/m
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI studio with the same code and structure, including Cohere Command chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Cohere Command chat models.
 
 ### Create a client to consume the model
 
@@ -1996,7 +1996,7 @@ For more examples of how to use Cohere, see the following examples and tutorials
 
 Quota is managed per deployment. Each deployment has a rate limit of 200,000 tokens per minute and 1,000 API requests per minute. However, we currently limit one deployment per model per project. Contact Microsoft Azure Support if the current rate limits aren't sufficient for your scenarios.
 
-Cohere models deployed as a serverless API are offered by Cohere through the Azure Marketplace and integrated with Azure AI studio for use. You can find the Azure Marketplace pricing when deploying the model.
+Cohere models deployed as a serverless API are offered by Cohere through the Azure Marketplace and integrated with Azure AI Studio for use. You can find the Azure Marketplace pricing when deploying the model.
 
 Each time a project subscribes to a given offer from the Azure Marketplace, a new resource is created to track the costs associated with its consumption. The same resource is used to track costs associated with inference; however, multiple meters are available to track each scenario independently.
 

articles/ai-studio/how-to/deploy-models-cohere-embed.md

@@ -1,21 +1,21 @@
 ---
-title: How to use Cohere Embed V3 models with Azure AI studio
-titleSuffix: Azure AI studio
-description: Learn how to use Cohere Embed V3 models with Azure AI studio.
+title: How to use Cohere Embed V3 models with Azure AI Studio
+titleSuffix: Azure AI Studio
+description: Learn how to use Cohere Embed V3 models with Azure AI Studio.
 ms.service: azure-ai-studio
 ms.topic: how-to
-ms.date: 08/05/2024
-ms.reviewer: kritifaujdar
-reviewer: fkriti
+ms.date: 08/08/2024
+ms.reviewer: fasantia
+reviewer: santiagxf
 ms.author: mopeakande
 author: msakande
 ms.custom: references_regions, generated
 zone_pivot_groups: azure-ai-model-catalog-samples-embeddings
 ---
 
-# How to use Cohere Embed V3 models with Azure AI studio
+# How to use Cohere Embed V3 models with Azure AI Studio
 
-In this article, you learn about Cohere Embed V3 models and how to use them with Azure AI studio.
+In this article, you learn about Cohere Embed V3 models and how to use them with Azure AI Studio.
 The Cohere family of models includes various models optimized for different use cases, including chat completions, embeddings, and rerank. Cohere models are optimized for various use cases that include reasoning, summarization, and question answering.
 
 
@@ -46,7 +46,7 @@ Cohere Embed Multilingual is a text representation model used for semantic searc
 
 ## Prerequisites
 
-To use Cohere Embed V3 models with Azure AI studio, you need the following prerequisites:
+To use Cohere Embed V3 models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -235,7 +235,7 @@ Cohere Embed Multilingual is a text representation model used for semantic searc
 
 ## Prerequisites
 
-To use Cohere Embed V3 models with Azure AI studio, you need the following prerequisites:
+To use Cohere Embed V3 models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -426,7 +426,7 @@ Cohere Embed Multilingual is a text representation model used for semantic searc
 
 ## Prerequisites
 
-To use Cohere Embed V3 models with Azure AI studio, you need the following prerequisites:
+To use Cohere Embed V3 models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 

articles/ai-studio/how-to/deploy-models-jais.md

@@ -1,12 +1,12 @@
 ---
-title: How to use Jais chat models with Azure AI studio
-titleSuffix: Azure AI studio
-description: Learn how to use Jais chat models with Azure AI studio.
+title: How to use Jais chat models with Azure AI Studio
+titleSuffix: Azure AI Studio
+description: Learn how to use Jais chat models with Azure AI Studio.
 ms.service: azure-ai-studio
 ms.topic: how-to
-ms.date: 08/05/2024
-ms.reviewer: kritifaujdar
-reviewer: fkriti
+ms.date: 08/08/2024
+ms.reviewer: fasantia
+reviewer: santiagxf
 ms.author: mopeakande
 author: msakande
 ms.custom: references_regions, generated
@@ -26,9 +26,18 @@ JAIS 30b Chat is an autoregressive bi-lingual LLM for **Arabic** & **English**.
 
 ::: zone pivot="programming-language-python"
 
+## Jais chat models
+
+None
+
+You can learn more about the models in their respective model card:
+
+* [jais-30b-chat](https://aka.ms/azureai/landing/jais-30b-chat)
+
+
 ## Prerequisites
 
-To use Jais chat models with Azure AI studio, you need the following prerequisites:
+To use Jais chat models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -62,7 +71,7 @@ Read more about the [Azure AI inference package and reference](https://aka.ms/az
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI studio with the same code and structure, including Jais chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Jais chat models.
 
 ### Create a client to consume the model
 
@@ -270,9 +279,18 @@ except HttpResponseError as ex:
 
 ::: zone pivot="programming-language-javascript"
 
+## Jais chat models
+
+None
+
+You can learn more about the models in their respective model card:
+
+* [jais-30b-chat](https://aka.ms/azureai/landing/jais-30b-chat)
+
+
 ## Prerequisites
 
-To use Jais chat models with Azure AI studio, you need the following prerequisites:
+To use Jais chat models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -304,7 +322,7 @@ npm install @azure-rest/ai-inference
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI studio with the same code and structure, including Jais chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Jais chat models.
 
 ### Create a client to consume the model
 
@@ -535,9 +553,18 @@ catch (error) {
 
 ::: zone pivot="programming-language-csharp"
 
+## Jais chat models
+
+None
+
+You can learn more about the models in their respective model card:
+
+* [jais-30b-chat](https://aka.ms/azureai/landing/jais-30b-chat)
+
+
 ## Prerequisites
 
-To use Jais chat models with Azure AI studio, you need the following prerequisites:
+To use Jais chat models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -592,7 +619,7 @@ using System.Reflection;
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI studio with the same code and structure, including Jais chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Jais chat models.
 
 ### Create a client to consume the model
 
@@ -816,9 +843,18 @@ catch (RequestFailedException ex)
 
 ::: zone pivot="programming-language-rest"
 
+## Jais chat models
+
+None
+
+You can learn more about the models in their respective model card:
+
+* [jais-30b-chat](https://aka.ms/azureai/landing/jais-30b-chat)
+
+
 ## Prerequisites
 
-To use Jais chat models with Azure AI studio, you need the following prerequisites:
+To use Jais chat models with Azure AI Studio, you need the following prerequisites:
 
 ### A model deployment
 
@@ -843,7 +879,7 @@ Models deployed with the [Azure AI model inference API](https://aka.ms/azureai/m
 In this section, you use the [Azure AI model inference API](https://aka.ms/azureai/modelinference) with a chat completions model for chat.
 
 > [!TIP]
-> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI studio with the same code and structure, including Jais chat models.
+> The [Azure AI model inference API](https://aka.ms/azureai/modelinference) allows you to talk with most models deployed in Azure AI Studio with the same code and structure, including Jais chat models.
 
 ### Create a client to consume the model
 
@@ -1139,7 +1175,7 @@ For more examples of how to use Jais, see the following examples and tutorials:
 
 Quota is managed per deployment. Each deployment has a rate limit of 200,000 tokens per minute and 1,000 API requests per minute. However, we currently limit one deployment per model per project. Contact Microsoft Azure Support if the current rate limits aren't sufficient for your scenarios.
 
-Jais models deployed as a serverless API are offered by G42 through the Azure Marketplace and integrated with Azure AI studio for use. You can find the Azure Marketplace pricing when deploying the model.
+Jais models deployed as a serverless API are offered by G42 through the Azure Marketplace and integrated with Azure AI Studio for use. You can find the Azure Marketplace pricing when deploying the model.
 
 Each time a project subscribes to a given offer from the Azure Marketplace, a new resource is created to track the costs associated with its consumption. The same resource is used to track costs associated with inference; however, multiple meters are available to track each scenario independently.