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6 changes: 3 additions & 3 deletions README.DEPLOYMENT.md
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Expand Up @@ -116,7 +116,7 @@ You will be prompted for the following parameters with this Screen :

### Manual Deployment Steps:
**Create Content Filter** - Please follow below steps
> * Navigate to Azure AI Studio
> * Navigate to project in Azure OpenAI, then go to Azure AI Foundry, select Safety + security
> * Click on Create Content Filter and set the filters to a high threshold for the following categories:
```
Hate, Sexual, Self-harm, Violence
Expand All @@ -138,7 +138,7 @@ Don't miss this Url information. This is the application's endpoint URL and it s

> **Capacity Note:**
> * The deployment script creates models with a setting of 1 token per minute (TPM) rate limit.
> * Faster performance can be achieved by increasing the TPM limit with Azure OpenAI Studio.
> * Faster performance can be achieved by increasing the TPM limit with Azure AI Foundry.
> * Capacity varies for [regional quota limits](https://learn.microsoft.com/en-us/azure/ai-services/openai/quotas-limits#regional-quota-limits) as well as for [provisioned throughput](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/provisioned-throughput).
> * As a starting point, we recommend the following quota threshold be set up for this service run.

Expand All @@ -151,7 +151,7 @@ Don't miss this Url information. This is the application's endpoint URL and it s
> **⚠️ Warning:** **Insufficient quota can cause failures during the upload process.** Please ensure you have the recommended capacity or request for additional capacity before start uploading the files.


1. Browse to Azure OpenAI Studio and select **each of the 2 models** within the `Deployments` menu:
1. Browse to the project in Azure AI Foundry, and select **each of the 2 models** within the `Deployments` menu:
<img src="./Images/readme_deployment/Control_Model_TPM000.png" alt="Select Model" width="700">

2. Increase the TPM value for **each model** for faster report generation:
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