update

Author: mrbullwinkle

articles/ai-services/openai/concepts/models.md

@@ -1,5 +1,5 @@
 ---
-title: Azure OpenAI in Azure AI Foundry Models models
+title: Azure OpenAI in Azure AI Foundry Models
 titleSuffix: Azure OpenAI
 description: Learn about the different model capabilities that are available with Azure OpenAI.
 ms.service: azure-ai-openai
@@ -12,7 +12,7 @@ ms.author: mbullwin #chrhoder#
 recommendations: false
 ---
 
-# Azure OpenAI in Azure AI Foundry Models models
+# Azure OpenAI in Azure AI Foundry Models
 
 Azure OpenAI is powered by a diverse set of models with different capabilities and price points. Model availability varies by region and cloud. For Azure Government model availability, please refer to [Azure Government OpenAI Service](../azure-government.md).
 

articles/ai-services/openai/concepts/red-teaming.md

@@ -23,7 +23,7 @@ The term *red teaming* has historically described systematic adversarial attacks
 
 Red teaming is a best practice in the responsible development of systems and features using LLMs. While not a replacement for systematic measurement and mitigation work, red teamers help to uncover and identify harms and, in turn, enable measurement strategies to validate the effectiveness of mitigations.
 
-While Microsoft has conducted red teaming exercises and implemented safety systems (including [content filters](./content-filter.md) and other [mitigation strategies](./prompt-engineering.md)) for its Azure OpenAI in Azure AI Foundry Models models (see this [Overview of responsible AI practices](/legal/cognitive-services/openai/overview)), the context of each LLM application will be unique and you also should conduct red teaming to:
+While Microsoft has conducted red teaming exercises and implemented safety systems (including [content filters](./content-filter.md) and other [mitigation strategies](./prompt-engineering.md)) for its Azure OpenAI in Azure AI Foundry Models (see this [Overview of responsible AI practices](/legal/cognitive-services/openai/overview)), the context of each LLM application will be unique and you also should conduct red teaming to:
 
 - Test the LLM base model and determine whether there are gaps in the existing safety systems, given the context of your application.