edit for pub

Author: laujan

articles/ai-services/.openpublishing.redirection.ai-services.json

@@ -2,12 +2,12 @@
 	"redirections": [
         {
             "source_path_from_root": "/articles/ai-services/computer-vision/how-to/install-sdk.md",
-            "redirect_url": "/articles/ai-services/computer-vision/sdk/install-sdk",
+            "redirect_url": "/azure/ai-services/computer-vision/sdk/install-sdk",
             "redirect_document_id": false
         },
         {
             "source_path_from_root": "/articles/ai-services/document-intelligence/concept-document-intelligence-studio.md",
-            "redirect_url": "/articles/ai-services/document-intelligence/studio-overview",
+            "redirect_url": "/azure/ai-services/document-intelligence/studio-overview",
             "redirect_document_id": false
         }
     ]

articles/ai-services/document-intelligence/concept-model-overview.md

@@ -80,7 +80,7 @@ The following table shows the available models for each current preview and stab
 
 ### Latency
 
-Latency is the amount of time it takes for an API server to handle and process an incoming request and deliver the outgoing response to the client. The time to analyze a document depends on the size (for example, number of pages) and associated content on each page. Document Intelligence is a multi tenant service where latency for similar documents is comparable but not always identical. Occasional variability in latency and performance is inherent in any microservice-based, stateless, asynchronous service that processes images and large documents at scale. Although we're continuously scaling up the hardware and capacity and scaling capabilities, you might still have latency issues at runtime.
+Latency is the amount of time it takes for an API server to handle and process an incoming request and deliver the outgoing response to the client. The time to analyze a document depends on the size (for example, number of pages) and associated content on each page. Document Intelligence is a multitenant service where latency for similar documents is comparable but not always identical. Occasional variability in latency and performance is inherent in any microservice-based, stateless, asynchronous service that processes images and large documents at scale. Although we're continuously scaling up the hardware and capacity and scaling capabilities, you might still have latency issues at runtime.
 
 |**Add-on Capability**| **Add-On/Free**|&bullet; [2024-02-29-preview](/rest/api/aiservices/document-models/build-model?view=rest-aiservices-2024-02-29-preview&preserve-view=true&branch=docintelligence&tabs=HTTP) <br>&bullet [2023-10-31-preview](/rest/api/aiservices/operation-groups?view=rest-aiservices-2024-02-29-preview&preserve-view=true|[`2023-07-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)|[`2022-08-31` (GA)](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-v3.0%20(2022-08-31)&preserve-view=true&tabs=HTTP)|[v2.1 (GA)](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1&preserve-view=true)|
 |----------------|-----------|---|--|---|---|