Update deployment-types.md

Author: ShawnJackson

articles/ai-foundry/openai/how-to/deployment-types.md

@@ -127,13 +127,13 @@ Standard deployments are optimized for low-to-medium volume workloads with high
 
 - SKU name in code: `ProvisionedManaged`
 
-Regional Provisioned deployments allow you to specify the amount of throughput you require in a deployment. The service then allocates the necessary model processing capacity and ensures it's ready for you. Throughput is defined in terms of provisioned throughput units, which is a normalized way of representing the throughput for your deployment. Each model-version pair requires different amounts of provisioned throughput units to deploy, and provides different amounts of throughput per provisioned throughput unit. Learn more from this article about [provisioned throughput concepts](../concepts/provisioned-throughput.md).
+Regional Provisioned deployments allow you to specify the amount of throughput you require in a deployment. The service then allocates the necessary model processing capacity and ensures it's ready for you. Throughput is defined in terms of provisioned throughput units, which is a normalized way of representing the throughput for your deployment. Each model-version pair requires different amounts of provisioned throughput units to deploy, and provides different amounts of throughput per provisioned throughput unit. Learn more in the [article about provisioned throughput concepts](../concepts/provisioned-throughput.md).
 
 ### Disable access to global deployments in your subscription
 
 Azure Policy helps to enforce organizational standards and to assess compliance at scale. Through its compliance dashboard, it provides an aggregated view to evaluate the overall state of the environment, with the ability to drill down to per-resource, per-policy granularity. It also helps to bring your resources to compliance through bulk remediation for existing resources and automatic remediation for new resources. [Learn more about Azure Policy and specific built-in controls for AI services](/azure/ai-services/security-controls-policy).
 
-You can use the following policy to disable access to any Azure AI Foundry deployment type. To disable access to a specific deployment type, replace `GlobalStandard` with the SKU name for the deployment type that you would like to disable access to.
+You can use the following policy to disable access to any Azure AI Foundry deployment type. To disable access to a specific deployment type, replace `GlobalStandard` with the SKU name for the deployment type that you want to disable access to.
 
 ```json
 {