Merge branch 'release-foundry-toc' into sdg-release-foundry-toc

Author: sdgilley

articles/ai-studio/toc.yml

@@ -53,34 +53,14 @@ items:
       href: how-to/benchmark-model-in-catalog.md
   - name: Featured models
     items:
+    - name: AI21 Jamba models
+      href: how-to/deploy-models-jamba.md
     - name: Azure OpenAI models
       items:
       - name: Deploy Azure OpenAI models
         href: how-to/deploy-models-openai.md
       - name: Fine-tune Azure OpenAI models
         href: ../ai-services/openai/how-to/fine-tuning.md?context=/azure/ai-studio/context/context
-    - name: Healthcare AI models
-      items:
-        - name: Foundational AI models for healthcare
-          href: how-to/healthcare-ai/healthcare-ai-models.md
-        - name: MedImageInsight - embedding model
-          href: how-to/healthcare-ai/deploy-medimageinsight.md
-        - name: CXRReportGen - text generation model
-          href: how-to/healthcare-ai/deploy-cxrreportgen.md
-        - name: MedImageParse - prompted segmentation model
-          href: how-to/healthcare-ai/deploy-medimageparse.md
-    - name: Microsoft Phi family models
-      items:
-        - name: Phi-3 chat models
-          href: how-to/deploy-models-phi-3.md
-        - name: Phi-3 chat model with vision
-          href: how-to/deploy-models-phi-3-vision.md
-        - name: Phi-3.5 chat model with vision
-          href: how-to/deploy-models-phi-3-5-vision.md
-        - name: Phi-4 chat models
-          href: how-to/deploy-models-phi-4.md
-        - name: Fine-tune Phi-3 chat models
-          href: how-to/fine-tune-phi-3.md
     - name: Cohere models
       items:
       - name: Cohere Command models
@@ -89,35 +69,57 @@ items:
         href: how-to/deploy-models-cohere-embed.md
       - name: Cohere Rerank models
         href: how-to/deploy-models-cohere-rerank.md
+    - name: Gretel Navigator model
+      href: how-to/deploy-models-gretel-navigator.md
+    - name: Healthcare AI models
+      items:
+      - name: Foundational AI models for healthcare
+        href: how-to/healthcare-ai/healthcare-ai-models.md
+      - name: MedImageInsight - embedding model
+        href: how-to/healthcare-ai/deploy-medimageinsight.md
+      - name: CXRReportGen - text generation model
+        href: how-to/healthcare-ai/deploy-cxrreportgen.md
+      - name: MedImageParse - prompted segmentation model
+        href: how-to/healthcare-ai/deploy-medimageparse.md
+    - name: JAIS model
+      href: how-to/deploy-models-jais.md
     - name: Meta Llama models
       items:
       - name: Meta Llama family models
         href: how-to/deploy-models-llama.md
       - name: Fine-tune Meta Llama family models
         href: how-to/fine-tune-model-llama.md
+    - name: Microsoft Phi family models
+      items:
+      - name: Phi-3 chat models
+        href: how-to/deploy-models-phi-3.md
+      - name: Phi-3 chat model with vision
+        href: how-to/deploy-models-phi-3-vision.md
+      - name: Phi-3.5 chat model with vision
+        href: how-to/deploy-models-phi-3-5-vision.md
+      - name: Phi-4 chat models
+        href: how-to/deploy-models-phi-4.md
+      - name: Fine-tune Phi-3 chat models
+        href: how-to/fine-tune-phi-3.md
     - name: Mistral family models
       items:
-        - name: Mistral premium models
-          href: how-to/deploy-models-mistral.md
-        - name: Codestral model
-          href: how-to/deploy-models-mistral-codestral.md
-        - name: Mistral Nemo model
-          href: how-to/deploy-models-mistral-nemo.md
-        - name: Mistral-7B and Mixtral models
-          href: how-to/deploy-models-mistral-open.md
+      - name: Mistral premium models
+        href: how-to/deploy-models-mistral.md
+      - name: Codestral model
+        href: how-to/deploy-models-mistral-codestral.md
+      - name: Mistral Nemo model
+        href: how-to/deploy-models-mistral-nemo.md
+      - name: Mistral-7B and Mixtral models
+        href: how-to/deploy-models-mistral-open.md
       displayName: maas
-    - name: Gretel Navigator model
-      href: how-to/deploy-models-gretel-navigator.md
-    - name: JAIS model
-      href: how-to/deploy-models-jais.md
-    - name: AI21 Jamba models
-      href: how-to/deploy-models-jamba.md
+    - name: NTTDATA tsuzumi model
+      items:
+        - name: NTTDATA tsuzumi model
+          href: how-to/deploy-models-tsuzumi.md
+        - name: Fine-tune tsuzumi model
+          href: how-to/fine-tune-models-tsuzumi.md
     - name: TimeGEN-1 model
       href: how-to/deploy-models-timegen-1.md
-    - name: NTTDATA tsuzumi model
-      href: how-to/deploy-models-tsuzumi.md
-    - name: Fine-tune tsuzumi model
-      href: how-to/fine-tune-models-tsuzumi.md
 - name: Azure OpenAI and AI services
   items:
   - name: Azure OpenAI in Azure AI Foundry
@@ -239,10 +241,6 @@ items:
       href: ../ai-services/openai/concepts/prompt-engineering.md?context=/azure/ai-studio/context/context
     - name: Image prompt engineering 
       href: ../ai-services/openai/concepts/gpt-4-v-prompt-engineering.md?context=/azure/ai-studio/context/context
-    - name: Fine-tuning in Azure AI Foundry
-      href: concepts/fine-tuning-overview.md
-    - name: Distillation
-      href: concepts/concept-model-distillation.md
     - name: Synthetic Data Generation
       href: concepts/concept-synthetic-data.md
   - name: Develop with code
@@ -296,6 +294,16 @@ items:
           href: how-to/flow-develop-evaluation.md
     - name: A/B experimentation 
       href: concepts/a-b-experimentation.md
+  - name: Model optimizations
+    items:
+    - name: Fine-tuning in Azure AI Foundry
+      href: concepts/fine-tuning-overview.md
+    - name: Fine-tune with a managed compute
+      href: how-to/fine-tune-managed-compute.md
+    - name: Fine-tune Azure OpenAI models
+      href: ../ai-services/openai/how-to/fine-tuning.md?context=/azure/ai-studio/context/context
+    - name: Distillation
+      href: concepts/concept-model-distillation.md
   - name: Deployments
     items:
     - name: Deploying models in Azure AI Foundry
@@ -304,6 +312,11 @@ items:
       href: how-to/deploy-models-serverless.md
     - name: Deploy models via managed compute
       href: how-to/deploy-models-managed.md
+    - name: Consume serverless API models from a different project or hub
+      href: how-to/deploy-models-serverless-connect.md
+      displayName: maas, paygo, models-as-a-service
+    - name: Model and region availability for Serverless API deployments
+      href: how-to/deploy-models-serverless-availability.md
     - name: Quotas and limits
       href: ai-services/concepts/quotas-limits.md
     - name: Troubleshoot deployments and monitoring

articles/search/search-indexer-how-to-access-private-sql.md

@@ -126,9 +126,8 @@ You can now configure an indexer and its data source to use an outbound private
 
 This article assumes a [REST client](search-get-started-rest.md) and uses the REST APIs.
 
-1. Get an ADO connection string for your SQL managed instance in the **VNet-local endpoint** syntax. By default, a managed instance listens on port 3342, but on a virtual network it listens on 1433.
 
-1. [Create the data source definition](search-how-to-index-sql-database.md) as you would normally for Azure SQL.
+1. [Create the data source definition](search-how-to-index-sql-database.md) as you would normally for Azure SQL. By default, a managed instance listens on port 3342, but on a virtual network it listens on 1433.
 
     Provide the connection string that you copied earlier with an Initial Catalog set to your database name.