acrolinx

Author: PatrickFarley

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

@@ -12,15 +12,15 @@ ms.date: 02/23/2024
 
 # Data, privacy, and security for Azure OpenAI Service
 
-This article provides details regarding how data provided by you to the Azure OpenAI service is processed, used, and stored. Azure OpenAI stores and processes data to provide the service and to monitor for uses that violate the applicable product terms. Please also see the [Microsoft Products and Services Data Protection Addendum](https://aka.ms/DPA), which governs data processing by the Azure OpenAI Service. Azure OpenAI is an Azure service; [learn more](/compliance/regulatory/offering-home) about applicable Azure compliance offerings.
+This article provides details regarding how data provided by you to the Azure OpenAI service is processed, used, and stored. Azure OpenAI stores and processes data to provide the service and to monitor for uses that violate the applicable product terms. Also see the [Microsoft Products and Services Data Protection Addendum](https://aka.ms/DPA), which governs data processing by the Azure OpenAI Service. Azure OpenAI is an Azure service; [learn more](/compliance/regulatory/offering-home) about applicable Azure compliance offerings.
 
 > [!IMPORTANT] 
 > Your prompts (inputs) and completions (outputs), your embeddings, and your training data:
 > - are NOT available to other customers.
 > - are NOT available to OpenAI.
 > - are NOT used to improve OpenAI models. 
 > - are NOT used to train, retrain, or improve Azure OpenAI Service foundation models.
-> - are NOT used to improve any Microsoft or 3rd party products or services without your permission or instruction.
+> - are NOT used to improve any Microsoft or third party products or services without your permission or instruction.
 > - Your fine-tuned Azure OpenAI models are available exclusively for your use.
 >
 > The Azure OpenAI Service is operated by Microsoft as an Azure service; Microsoft hosts the OpenAI models in Microsoft's Azure environment and the Service does NOT interact with any services operated by OpenAI (e.g. ChatGPT, or the OpenAI API).
@@ -31,8 +31,8 @@ Azure OpenAI processes the following types of data:
 
 - **Prompts and generated content**. Prompts are submitted by the user, and content is generated by the service, via the completions, chat completions, images, and embeddings operations.
 - **Uploaded data**. You can provide your own data for use with certain service features (e.g., [fine-tuning](/azure/ai-services/openai/how-to/fine-tuning?pivots=programming-language-studio), [assistants API](/azure/ai-services/openai/how-to/batch?tabs=standard-input&pivots=programming-language-ai-studio), [batch processing](/azure/ai-services/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 OpenAI service, such as the Threads feature of the [Assistants API](/azure/ai-services/openai/how-to/assistant) and Stored completions, the service will create 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 using 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.   
+- **Data for stateful entities**. When you use certain optional features of Azure OpenAI service, such as the Threads feature of the [Assistants API](/azure/ai-services/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-services/openai/how-to/fine-tuning?pivots=programming-language-studio).
 
 ## How does the Azure OpenAI Service process data?
@@ -59,7 +59,7 @@ Prompts and responses are processed within the customer-specified [geography](ht
 
 ### Understanding location of processing for "Global" and "Data zone" deployment types 
 
-In addition to standard deployments, Azure OpenAI Service offers deployment options labelled as 'Global' and 'DataZone.' For any [deployment type](/azure/ai-services/openai/how-to/deployment-types) labeled 'Global,' prompts and responses may be processed in any geography where the relevant Azure OpenAI model is deployed (learn more about [region availability of models](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability)). For any deployment type labeled as 'DataZone,' prompts and responses may be processed in any geography within the specified data zone, as defined by Microsoft. If you create a DataZone deployment in an Azure OpenAI resource located in the United States, prompts and responses may be processed anywhere within the United States. If you create a DataZone deployment in an Azure OpenAI resource located in a European Union Member Nation, prompts and responses may be processed in that or any other European Union Member Nation. For both Global and DataZone deployment types, any data stored at rest, such as uploaded data, is stored in the customer-designated geography. Only the location of processing is affected when a customer uses a Global deployment type or DataZone deployment type in Azure OpenAI Service; Azure data processing and compliance commitments remain applicable. 
+In addition to standard deployments, Azure OpenAI Service offers deployment options labeled as 'Global' and 'DataZone.' For any [deployment type](/azure/ai-services/openai/how-to/deployment-types) labeled 'Global,' prompts and responses may be processed in any geography where the relevant Azure OpenAI model is deployed (learn more about [region availability of models](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability)). For any deployment type labeled as 'DataZone,' prompts and responses may be processed in any geography within the specified data zone, as defined by Microsoft. If you create a DataZone deployment in an Azure OpenAI resource located in the United States, prompts and responses may be processed anywhere within the United States. If you create a DataZone deployment in an Azure OpenAI resource located in a European Union Member Nation, prompts and responses may be processed in that or any other European Union Member Nation. For both Global and DataZone deployment types, any data stored at rest, such as uploaded data, is stored in the customer-designated geography. Only the location of processing is affected when a customer uses a Global deployment type or DataZone deployment type in Azure OpenAI Service; Azure data processing and compliance commitments remain applicable. 
 
 ### Augmenting prompts to "ground" generated results "on your data"
 
@@ -76,7 +76,7 @@ Some Azure OpenAI Service features store data in the service. This data is eithe
 > Azure OpenAI features in preview might not support all of the above conditions.
 
 Stored data may be used with the following service features/capabilities: 
-- **Creating a customized (fine-tuned) model**. Learn more about [how fine-tuning works](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-studio). Fine-tuned models are exclusively available to the customer whose data was used to create the fine-tuned model, are encrypted at rest (when not deployed for inferencing), and can be deleted by the customer at any time. Training data uploaded for fine-tuning is not used to train, retrain, or improve any Microsoft or 3rd party base models. 
+- **Creating a customized (fine-tuned) model**. Learn more about [how fine-tuning works](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-studio). Fine-tuned models are exclusively available to the customer whose data was used to create the fine-tuned model, are encrypted at rest (when not deployed for inferencing), and can be deleted by the customer at any time. Training data uploaded for fine-tuning is not used to train, retrain, or improve any Microsoft or third party base models. 
 - **Batch processing**. Learn more about [how batch processing works](https://aka.ms/aoai-batch-how-to). Batch processing is a Global deployment type; data stored at rest remains in the designated Azure geography until processing capacity becomes available; processing may occur in any geography where the relevant Azure OpenAI model is deployed (learn more about [region availability of models](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability)).   
 - **Assistants API (preview)**. Learn more about [how the Assistants API works](/azure/ai-services/openai/concepts/assistants). Some features of Assistants, such as Threads, store message history and other content.
 - **Stored completions (preview)**. <!--Learn more about Stored completions. (link)--> Stored completions stores input-output pairs from the customer’s deployed Azure OpenAI models such as GPT-4o through the chat completions API and displays the pairs in the [Azure AI Foundry portal](https://ai.azure.com/). This allows customers to build datasets with their production data, which can then be used for evaluating or fine-tuning models (as permitted in applicable Product Terms).

articles/ai-foundry/responsible-ai/openai/limited-access.md

@@ -1,7 +1,7 @@
 ---
 title: Limited access to Azure OpenAI Service 
 titleSuffix: Azure AI services
-description: This document details the limited acccess policy for Azure OpenAI Service
+description: This document details the limited access policy for Azure OpenAI Service
 author: krlaird
 ms.author: krlaird
 manager: nitinme