Fixed phrasing on th throughput

Author: ChrisHMSFT

articles/ai-services/openai/concepts/provisioned-throughput.md

@@ -38,14 +38,12 @@ An Azure OpenAI Deployment is a unit of management for a specific OpenAI Model.
 
 
 ## How much thoughput per PTU you get for each model
-The amount of throughput (tokens per minute or TPM) a deployment gets per PTU is a function of the input and output tokens being generated. 
-
-Generating output tokens requires more processing and the more tokens generated, the lower the overall TPM per PTU. Provisioned deployments dynamically balance the two, so users do not have to set specific input and output limits. This approach means the service is resilient to fluctuations in the workload shape. 
+The amount of throughput (tokens per minute or TPM) a deployment gets per PTU is a function of the input and output tokens in the minute. Generating output tokens requires more processing than input tokens and so the more output tokens generated the lower your overall TPM. The service dynamically balances the input & output costs, so users do not have to set specific input and output limits. This approach means your deployment is resilient to fluctuations in the workload shape. 
 
 To help with simplifying the sizing effort, the following table outlines the TPM per PTU for the `gpt-4o` and `gpt-4o-mini` models
 
-|     | **gpt-4o**, **2024-05-13**   & **gpt-4o**, **2024-08-06**   | **gpt-4o-mini**, **2024-07-18**   | 
-| --| --| --|
+|   Variable  | **gpt-4o**, **2024-05-13**   & **gpt-4o**, **2024-08-06**   | **gpt-4o-mini**, **2024-07-18**   | 
+| --- | --- | --- |
 | Deployable Increments | 50 | 25|
 | Input TPM per PTU | 2,500 | 37,000  |
 | Output TPM per PTU | 833  | 12,333 |