Merge pull request #276125 from s-polly/main

Update Meta Llama branding

Author: Jill Grant

articles/ai-studio/how-to/fine-tune-model-llama.md

@@ -1,7 +1,7 @@
 ---
 title: Fine-tune Llama models in Azure AI Studio
 titleSuffix: Azure AI Studio
-description: Learn how to fine-tune Llama models in Azure AI Studio.
+description: Learn how to fine-tune Meta Llama models in Azure AI Studio.
 manager: scottpolly
 ms.service: azure-ai-studio
 ms.topic: how-to
@@ -13,7 +13,7 @@ author: ssalgadodev
 ms.custom: references_regions, build-2024
 ---
 
-# Fine-tune Llama models in Azure AI Studio
+# Fine-tune Meta Llama models in Azure AI Studio
 
 [!INCLUDE [Feature preview](../includes/feature-preview.md)]
 
@@ -250,9 +250,9 @@ You can delete a fine-tuned model from the fine-tuning model list in [Azure AI S
 
 ## Cost and quotas
 
-### Cost and quota considerations for Llama models fine-tuned as a service
+### Cost and quota considerations for Meta Llama models fine-tuned as a service
 
-Llama models fine-tuned as a service are offered by Meta through the Azure Marketplace and integrated with Azure AI Studio for use. You can find the Azure Marketplace pricing when [deploying](./deploy-models-llama.md) or fine-tuning the models.
+Meta Llama models fine-tuned as a service are offered by Meta through the Azure Marketplace and integrated with Azure AI Studio for use. You can find the Azure Marketplace pricing when [deploying](./deploy-models-llama.md) or fine-tuning the models.
 
 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 and fine-tuning; however, multiple meters are available to track each scenario independently.
 

articles/ai-studio/reference/reference-model-inference-api.md

@@ -43,8 +43,8 @@ Models deployed to [serverless API endpoints](../how-to/deploy-models-serverless
 > [!div class="checklist"]
 > * [Cohere Embed V3](../how-to/deploy-models-cohere-embed.md) family of models
 > * [Cohere Command R](../how-to/deploy-models-cohere-command.md) family of models
-> * [Llama2](../how-to/deploy-models-llama.md) family of models
-> * [Llama3](../how-to/deploy-models-llama.md) family of models
+> * [Meta Llama 2](../how-to/deploy-models-llama.md) family of models
+> * [Meta Llama 3](../how-to/deploy-models-llama.md) family of models
 > * [Mistral-Small](../how-to/deploy-models-mistral.md)
 > * [Mistral-Large](../how-to/deploy-models-mistral.md)
 > * [Phi-3](../how-to/deploy-models-phi-3.md) family of models

articles/ai-studio/toc.yml

@@ -72,11 +72,11 @@ items:
         href: how-to/deploy-models-cohere-command.md
       - name: Deploy Cohere Embed models
         href: how-to/deploy-models-cohere-embed.md
-    - name: Llama models
+    - name: Meta Llama models
       items:
-      - name: Deploy Llama family models
+      - name: Deploy Meta Llama family models
         href: how-to/deploy-models-llama.md
-      - name: Fine-tune Llama family models
+      - name: Fine-tune Meta Llama family models
         href: how-to/fine-tune-model-llama.md
     - name: Deploy JAIS models
       href: how-to/deploy-jais-models.md

articles/machine-learning/toc.yml

@@ -610,9 +610,9 @@
           href: how-to-deploy-models-cohere-command.md
         - name: How to deploy Cohere Embed models
           href: how-to-deploy-models-cohere-embed.md
-    - name: Deploy Llama models
+    - name: Deploy Meta Llama models
       items:
-        - name: How to deploy Llama family models
+        - name: How to deploy Meta Llama family models
           href: how-to-deploy-models-llama.md
     - name: How to deploy JAIS models
       href: deploy-jais-models.md