Update how-to-deploy-models-timegen-1.md

Author: ssalgadodev

articles/machine-learning/how-to-deploy-models-timegen-1.md

@@ -100,11 +100,11 @@ These steps demonstrate the deployment of TimeGEN-1. To create a deployment:
 1. Once you subscribe the workspace for the particular Azure Marketplace offering, subsequent deployments of the _same_ offering in the _same_ workspace don't require subscribing again. If this scenario applies to you, you'll see a **Continue to deploy** option to select.
 1. Give the deployment a name. This name becomes part of the deployment API URL. This URL must be unique in each Azure region. 
 1. Select **Deploy**. Wait until the deployment is ready and you're redirected to the Deployments page.
-1. Take note of the **Target URI** and the secret **Key**, which you can use to call the deployment and generate completions. For more information on using the APIs, see the [reference](#reference-for-timegen-1-deployed-as-a-serverless-api) section.
+1. Take note of the **Target URI** and the secret **Key**, which you can use to call the deployment and generate completions. For more information on using the APIs, see the [reference](#reference-for-timegen-1-deployed-as-a-standard-deployment) section.
 1. Select the **Test** tab to start interacting with the model.  
 1. You can always find the endpoint's details, URI, and access keys by navigating to **Workspace** > **Endpoints** > **Serverless endpoints**.
 
-To learn about billing for the TimeGEN-1 model deployed as a standard deployment with pay per token offer billing, see [Cost and quota considerations for TimeGEN-1 deployed as a standard deployment](#cost-and-quota-considerations-for-timegen-1-deployed-as-a-serverless-api).
+To learn about billing for the TimeGEN-1 model deployed as a standard deployment with pay per token offer billing, see [Cost and quota considerations for TimeGEN-1 deployed as a standard deployment](#cost-and-quota-considerations-for-timegen-1-deployed-as-a-standard-deployment).
 
 ### Consume the TimeGEN-1 model as a service
 
@@ -126,7 +126,7 @@ You can consume TimeGEN-1 models by using the forecast API.
 |Exogenous Variables|Exogenous variables are external factors that can influence forecasts. These variables take on one of a limited, fixed number of possible values, and induce a grouping of your observations. For example, if you're forecasting daily product demand for a retailer, you could benefit from an event variable that may tell you what kind of event takes place on a given day, for example 'None', Sporting', or 'Cultural'. Or you might also include external factors such as weather.|[Exogenous Variables](https://aka.ms/exogenous-variables)|
 |Demand Forecasting|Demand forecasting involves application of historical data and other analytical information, to build models that help predict future estimates of customer demand, for specific products, over a specific time period. It helps shape product road map, inventory production, and inventory allocation, among other things.|[Demand Forecasting](https://aka.ms/demand-forecasting-with-TimeGEN1)|
 
-For more information about use of the APIs, visit the [Reference](#reference-for-timegen-1-deployed-as-a-serverless-api) section.
+For more information about use of the APIs, visit the [Reference](#reference-for-timegen-1-deployed-as-a-standard-deployment) section.
 
 ### Reference for TimeGEN-1 deployed as a standard deployment