rename preview file

msakande · msakande · commit a6ade72fafef · 2024-10-17T09:43:01.000-05:00
diff --git a/articles/ai-studio/how-to/deploy-models-cohere-command.md b/articles/ai-studio/how-to/deploy-models-cohere-command.md
@@ -21,7 +21,7 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 In this article, you learn about Cohere Command chat models and how to use them.
 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.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-cohere-embed.md b/articles/ai-studio/how-to/deploy-models-cohere-embed.md
@@ -21,7 +21,7 @@ zone_pivot_groups: azure-ai-model-catalog-samples-embeddings
 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.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-cohere-rerank.md b/articles/ai-studio/how-to/deploy-models-cohere-rerank.md
@@ -18,7 +18,7 @@ ms.custom: references_regions, build-2024
 
 In this article, you learn about the Cohere Rerank models, how to use Azure AI Studio to deploy them as serverless APIs with pay-as-you-go token-based billing, and how to work with the deployed models.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ## Cohere Rerank models
 
diff --git a/articles/ai-studio/how-to/deploy-models-jais.md b/articles/ai-studio/how-to/deploy-models-jais.md
@@ -25,7 +25,7 @@ JAIS 30b Chat is an autoregressive bi-lingual LLM for **Arabic** & **English**.
 * **Input:** Model input is text only.
 * **Output:** Model generates text only.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-jamba.md b/articles/ai-studio/how-to/deploy-models-jamba.md
@@ -22,7 +22,7 @@ The Jamba family models are AI21's production-grade Mamba-based large language m
 
 See our announcements of AI21's Jamba family models available now on Azure AI Model Catalog through [AI21's blog](https://aka.ms/ai21-jamba-1.5-large-announcement) and [Microsoft Tech Community Blog](https://aka.ms/ai21-jamba-1.5-large-microsoft-annnouncement).
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 
 ## Deploy the Jamba family models as a serverless API
diff --git a/articles/ai-studio/how-to/deploy-models-llama.md b/articles/ai-studio/how-to/deploy-models-llama.md
@@ -22,7 +22,7 @@ In this article, you learn about the Meta Llama family of models and how to use
 
 See our announcements of Meta's Llama 3.2 family models available now on Azure AI Model Catalog through [Meta's blog](https://aka.ms/llama-3.2-meta-announcement) and [Microsoft Tech Community Blog](https://aka.ms/llama-3.2-microsoft-announcement).
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-mistral-nemo.md b/articles/ai-studio/how-to/deploy-models-mistral-nemo.md
@@ -21,7 +21,7 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 In this article, you learn about Mistral Nemo chat model and how to use them.
 Mistral AI offers two categories of models. Premium models including [Mistral Large and Mistral Small](deploy-models-mistral.md), available as serverless APIs with pay-as-you-go token-based billing. Open models including [Mistral Nemo](deploy-models-mistral-nemo.md), [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](deploy-models-mistral-open.md); available to also download and run on self-hosted managed endpoints.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-mistral-open.md b/articles/ai-studio/how-to/deploy-models-mistral-open.md
@@ -21,7 +21,7 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 In this article, you learn about Mistral-7B and Mixtral chat models and how to use them.
 Mistral AI offers two categories of models. Premium models including [Mistral Large and Mistral Small](deploy-models-mistral.md), available as serverless APIs with pay-as-you-go token-based billing. Open models including [Mistral Nemo](deploy-models-mistral-nemo.md), [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](deploy-models-mistral-open.md); available to also download and run on self-hosted managed endpoints.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-mistral.md b/articles/ai-studio/how-to/deploy-models-mistral.md
@@ -21,7 +21,7 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 In this article, you learn about Mistral premium chat models and how to use them.
 Mistral AI offers two categories of models. Premium models including [Mistral Large and Mistral Small](deploy-models-mistral.md), available as serverless APIs with pay-as-you-go token-based billing. Open models including [Mistral Nemo](deploy-models-mistral-nemo.md), [Mixtral-8x7B-Instruct-v01, Mixtral-8x7B-v01, Mistral-7B-Instruct-v01, and Mistral-7B-v01](deploy-models-mistral-open.md); available to also download and run on self-hosted managed endpoints.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-phi-3-5-vision.md b/articles/ai-studio/how-to/deploy-models-phi-3-5-vision.md
@@ -21,7 +21,7 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 In this article, you learn about Phi-3.5 chat model with vision and how to use them.
 The Phi-3.5 small language models (SLMs) are a collection of instruction-tuned generative text models.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-phi-3-vision.md b/articles/ai-studio/how-to/deploy-models-phi-3-vision.md
@@ -21,7 +21,7 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 In this article, you learn about Phi-3 chat model with vision and how to use them.
 The Phi-3 family of small language models (SLMs) is a collection of instruction-tuned generative text models.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-phi-3.md b/articles/ai-studio/how-to/deploy-models-phi-3.md
@@ -21,7 +21,7 @@ zone_pivot_groups: azure-ai-model-catalog-samples-chat
 In this article, you learn about Phi-3 family chat models and how to use them.
 The Phi-3 family of small language models (SLMs) is a collection of instruction-tuned generative text models.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ::: zone pivot="programming-language-python"
 
diff --git a/articles/ai-studio/how-to/deploy-models-serverless-availability.md b/articles/ai-studio/how-to/deploy-models-serverless-availability.md
@@ -20,7 +20,7 @@ ms.custom:
 
 In this article, you learn about which regions are available for each of the models supporting serverless API endpoint deployments.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 Certain models in the model catalog can be deployed as a serverless API with pay-as-you-go billing. This kind of deployment provides a way to consume models as an API without hosting them on your subscription, while keeping the enterprise security and compliance that organizations need. This deployment option doesn't require quota from your subscription.
 
diff --git a/articles/ai-studio/how-to/deploy-models-serverless-connect.md b/articles/ai-studio/how-to/deploy-models-serverless-connect.md
@@ -19,7 +19,7 @@ ms.custom:
 
 In this article, you learn how to configure an existing serverless API endpoint in a different project or hub than the one that was used to create the deployment.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 [Certain models in the model catalog](deploy-models-serverless-availability.md) can be deployed as serverless APIs. This kind of deployment provides a way to consume models as an API without hosting them on your subscription, while keeping the enterprise security and compliance that organizations need. This deployment option doesn't require quota from your subscription.
 
diff --git a/articles/ai-studio/how-to/deploy-models-serverless.md b/articles/ai-studio/how-to/deploy-models-serverless.md
@@ -17,7 +17,7 @@ ms.custom: build-2024, serverless, devx-track-azurecli
 
 In this article, you learn how to deploy a model from the model catalog as a serverless API with pay-as-you-go token based billing.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 [Certain models in the model catalog](deploy-models-serverless-availability.md) can be deployed as a serverless API with pay-as-you-go billing. This kind of deployment provides a way to consume models as an API without hosting them on your subscription, while keeping the enterprise security and compliance that organizations need. This deployment option doesn't require quota from your subscription.
 
diff --git a/articles/ai-studio/how-to/deploy-models-timegen-1.md b/articles/ai-studio/how-to/deploy-models-timegen-1.md
@@ -22,7 +22,7 @@ You filter on the Nixtla collection to browse the TimeGEN-1 model in the [Model
 
 The Nixtla TimeGEN-1 is a generative, pretrained forecasting and anomaly detection model for time series data. TimeGEN-1 can produce accurate forecasts for new time series without training, using only historical values and exogenous covariates as inputs.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ## Deploy TimeGEN-1 as a serverless API
 
diff --git a/articles/ai-studio/how-to/fine-tune-model-llama.md b/articles/ai-studio/how-to/fine-tune-model-llama.md
@@ -25,7 +25,7 @@ In this article, you learn how to fine-tune Meta Llama models in [Azure AI Studi
 
 The [Meta Llama family of large language models (LLMs)](./deploy-models-llama.md) is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. The model family also includes fine-tuned versions optimized for dialogue use cases with Reinforcement Learning from Human Feedback (RLHF), called Llama-Instruct.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ## Models
 # [Meta Llama 3.1](#tab/llama-three)
diff --git a/articles/ai-studio/how-to/fine-tune-phi-3.md b/articles/ai-studio/how-to/fine-tune-phi-3.md
@@ -19,7 +19,7 @@ In this article, you learn how to fine-tune Phi-3 family of small language model
 
 The Phi-3 family of SLMs is a collection of instruction-tuned generative text models.  Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across various language, reasoning, coding, and math benchmarks.
 
-[!INCLUDE [maas-models-preview](../includes/maas-models-preview.md)]
+[!INCLUDE [models-preview](../includes/models-preview.md)]
 
 ## [Phi-3-mini](#tab/phi-3-mini)
 
diff --git a/articles/ai-studio/includes/models-preview.md b/articles/ai-studio/includes/models-preview.md
@@ -10,4 +10,4 @@ ms.custom: include file
 ---
 
 > [!IMPORTANT]
-> Models that are in preview are marked as _preview_ in the model catalog.
+> Models that are in preview are marked as _preview_ on their model cards in the model catalog.
