Update concept-model-catalog.md

Author: ssalgadodev

articles/machine-learning/concept-model-catalog.md

@@ -58,6 +58,9 @@ Model | Managed compute | Serverless API (pay-as-you-go)
 Llama family models  | Llama-2-7b <br> Llama-2-7b-chat <br> Llama-2-13b <br> Llama-2-13b-chat <br> Llama-2-70b <br> Llama-2-70b-chat <br> Llama-3-8B-Instruct <br> Llama-3-70B-Instruct <br> Llama-3-8B <br> Llama-3-70B | Llama-3-70B-Instruct <br> Llama-3-8B-Instruct <br> Llama-2-7b <br> Llama-2-7b-chat <br> Llama-2-13b <br> Llama-2-13b-chat <br> Llama-2-70b <br> Llama-2-70b-chat 
 Mistral family models | mistralai-Mixtral-8x22B-v0-1 <br> mistralai-Mixtral-8x22B-Instruct-v0-1 <br> mistral-community-Mixtral-8x22B-v0-1 <br> mistralai-Mixtral-8x7B-v01 <br> mistralai-Mistral-7B-Instruct-v0-2 <br> mistralai-Mistral-7B-v01 <br> mistralai-Mixtral-8x7B-Instruct-v01 <br> mistralai-Mistral-7B-Instruct-v01 | Mistral-large <br> Mistral-small
 Cohere family models | Not available | Cohere-command-r-plus <br> Cohere-command-r <br> Cohere-embed-v3-english <br> Cohere-embed-v3-multilingual
+JAIS | Not available | jais-30b-chat
+Phi3 family models | Phi-3-small-128k-Instruct <br> Phi-3-small-8k-Instruct <br> Phi-3-mini-4k-Instruct <br> Phi-3-mini-128k-Instruct <br> Phi3-medium-128k-instruct <br> Phi3-medium-4k-instruct | Phi-3-mini-4k-Instruct <br> Phi-3-mini-128k-Instruct <br> Phi3-medium-128k-instruct <br> Phi3-medium-4k-instruct <br> Phi-3-vision-128k-instruct 
+Nixtla | Not available | TimeGEN-1
 Other models | Available | Not available
 
 :::image type="content" source="./media/concept-model-catalog/platform-service-cycle.png" alt-text="A diagram showing models as a service and Real time end points service cycle." lightbox="media/concept-model-catalog/platform-service-cycle.png":::
@@ -142,7 +145,9 @@ Cohere-command-r-plus <br> Cohere-command-r <br> Cohere-embed-v3-english <br> Co
 
 ### Content safety for models deployed via MaaS  
 
-Azure Machine Learning implements a default configuration of [Azure AI Content Safety](../ai-services/content-safety/overview.md) text moderation filters for harmful content (hate, self-harm, sexual, and violence) for language models deployed with MaaS. To learn more about content filtering, see [harm categories in Azure AI Content Safety](../ai-services/content-safety/concepts/harm-categories.md). Content filtering occurs synchronously as the service processes prompts to generate content, and you may be billed separately as per [AACS pricing](https://azure.microsoft.com/pricing/details/cognitive-services/content-safety/) for such use. You can disable content filtering for individual serverless endpoints when you first deploy a language model or in the deployment details page by clicking the content filtering toggle. You may be at higher risk of exposing users to harmful content if you turn off content filters. 
+[!INCLUDE [machine-learning-preview-generic-disclaimer](includes/machine-learning-preview-generic-disclaimer.md)]
+
+Azure Machine Learning implements a default configuration of [Azure AI Content Safety](../ai-services/content-safety/overview.md) text moderation filters for harmful content (hate, self-harm, sexual, and violence) for language models deployed with MaaS. To learn more about content filtering (preview), see [harm categories in Azure AI Content Safety](../ai-services/content-safety/concepts/harm-categories.md). Content filtering (preview) occurs synchronously as the service processes prompts to generate content, and you may be billed separately as per [AACS pricing](https://azure.microsoft.com/pricing/details/cognitive-services/content-safety/) for such use. You can disable content filtering (preview) for individual serverless endpoints when you first deploy a language model or in the deployment details page by selecting the content filtering toggle. You may be at higher risk of exposing users to harmful content if you turn off content filters. 
 
 ## Learn more