bug fixes

Author: PatrickFarley

articles/ai-foundry/responsible-ai/openai/data-privacy.md

@@ -35,7 +35,7 @@ Azure AI Foundry processes the following types of data to provide Azure Direct M
 - **Uploaded data**. You can upload your own data for use with certain service features (e.g., [fine-tuning](/azure/ai-foundry/openai/how-to/fine-tuning?pivots=programming-language-studio), [assistants API](/azure/ai-foundry/openai/how-to/batch?tabs=standard-input&pivots=programming-language-ai-studio), [batch processing](/azure/ai-foundry/openai/how-to/batch?tabs=standard-input&pivots=programming-language-ai-studio)) using the Files API or vector store.
 - **Data for stateful entities**. When you use certain optional features of Azure Direct Models and Agents, such as the [Responses API](/azure/ai-foundry/openai/how-to/responses), the Threads feature of the [Assistants API](/azure/ai-foundry/openai/how-to/assistant), and Stored completions, the service creates a data store to persist message history and other content, in accordance with how you configure the feature.
 - **Augmented data included with or via prompts**. When you use data associated with stateful entities, the service retrieves relevant data from a configured data store and augments the prompt to produce generations that are grounded with your data. Prompts may also be augmented with data retrieved from a source included in the prompt itself, such as a URL.   
-- **Training & validation data**. You can provide your own training data consisting of prompt-completion pairs for the purposes of [fine-tuning an OpenAI model](/azure/ai-foundry/openai/how-to/fine-tuning?pivots=programming-language-studio).
+- **Training & validation data**. You can provide your own training data consisting of prompt-completion pairs for the purposes of [fine-tuning a model](/azure/ai-foundry/openai/how-to/fine-tuning?pivots=programming-language-studio).
 
 ## How does Azure AI Foundry process data to provide Azure Direct Models?