fixing broken links

Author: msakande

articles/ai-studio/how-to/deploy-models-jamba.md

@@ -79,7 +79,7 @@ These steps demonstrate the deployment of AI21-Jamba-Instruct. To create a deplo
 1. Return to the Deployments page, select the deployment, and note the endpoint's **Target** URL and the Secret **Key**. For more information on using the APIs, see the [Reference](#reference-for-jamba-instruct-deployed-as-a-serverless-api) section.
 1. You can always find the endpoint's details, URL, and access keys by navigating to your **Project overview** page. Then, from the left sidebar of your project, select **Components** > **Deployments**.
 
-To learn about billing for the AI21-Jamba-Instruct model deployed as a serverless API with pay-as-you-go token-based billing, see [Cost and quota considerations for AI21 Jamba Instruct deployed as a serverless API](#cost-and-quota-considerations-for-ai21-jamba-instruct-deployed-as-a-serverless-api).
+To learn about billing for the AI21-Jamba-Instruct model deployed as a serverless API with pay-as-you-go token-based billing, see [Cost and quota considerations for Jamba Instruct deployed as a serverless API](#cost-and-quota-considerations-for-jamba-instruct-deployed-as-a-serverless-api).
 
 ### Consume Jamba Instruct as a serverless API
 
@@ -93,7 +93,7 @@ You can consume Jamba Insruct models as follows:
 
 1. Make an API request.
 
-For more information on using the APIs, see the [reference](#reference-for-jamba-instruct-deployed-a-serverless-api) section.
+For more information on using the APIs, see the [reference](#reference-for-jamba-instruct-deployed-as-a-serverless-api) section.
 
 ## Reference for Jamba Instruct deployed as a serverless API
 
@@ -285,7 +285,7 @@ data: [DONE]
 
 ## Cost and quotas
 
-### Cost and quota considerations for AI21 Jamba Instruct deployed as a serverless API
+### Cost and quota considerations for Jamba Instruct deployed as a serverless API
 
 The Jamba Instruct model is deployed as a serverless API and is offered by AI21 through Azure Marketplace and integrated with Azure AI studio for use. You can find Azure Marketplace pricing when deploying or fine-tuning models.
 

articles/machine-learning/how-to-deploy-models-jamba.md

@@ -90,7 +90,7 @@ These steps demonstrate the deployment of AI21-Jamba-Instruct. To create a deplo
 1. You can always find the endpoint's details, URL, and access keys by navigating to **Workspace** > **Endpoints** > **Serverless endpoints**.
 
 
-To learn about billing for Jamba models deployed as a serverless API, see [Cost and quota considerations for Jamba models deployed as a serverless API](#cost-and-quota-considerations-for-jamba-models-deployed-as-a-serverless-api).
+To learn about billing for Jamba models deployed as a serverless API, see [Cost and quota considerations for Jamba Instruct deployed as a serverless API](#cost-and-quota-considerations-for-jamba-instruct-deployed-as-a-serverless-api).
 
 ### Consume Jamba Instruct as a service
 
@@ -109,7 +109,7 @@ For more information on using the APIs, see the [reference](#reference-for-jamba
 
 Jamba Instruct models accept both of these APIs:
 
-- The [Azure AI Model Inference API](../reference/reference-model-inference-api.md) on the route `/chat/completions` for multi-turn chat or single-turn question-answering. This API is supported because Jamba Instruct is fine-tuned for chat completion.
+- The [Azure AI model inference API](reference-model-inference-api.md) [Azure AI Model Inference API] on the route `/chat/completions` for multi-turn chat or single-turn question-answering. This API is supported because Jamba Instruct is fine-tuned for chat completion.
 - [AI21's Azure Client](https://docs.ai21.com/reference/jamba-instruct-api). For more information about the REST endpoint being called, visit [AI21's REST documentation](https://docs.ai21.com/reference/jamba-instruct-api).
 
 ### Azure AI model inference API
@@ -295,7 +295,7 @@ data: [DONE]
 
 ## Cost and quotas
 
-### Cost and quota considerations for AI21 Jamba Instruct deployed as a serverless API
+### Cost and quota considerations for Jamba Instruct deployed as a serverless API
 
 Jamba models deployed as a serverless API are offered by AI21 through Azure Marketplace and integrated with Azure Machine Learning studio for use. You can find Azure Marketplace pricing when deploying or fine-tuning models.