update

Author: mrbullwinkle

articles/ai-services/openai/faq.yml

@@ -81,7 +81,7 @@ sections:
 
           Ultimately, the model is performing next [token](/semantic-kernel/prompt-engineering/tokens) prediction in response to your question. The model doesn't have any native ability to query what model version is currently being run to answer your question. To answer this question, you can always go to **Azure OpenAI Studio** > **Management** > **Deployments** > and consult the model name column to confirm what model is currently associated with a given deployment name.
 
-          The questions, "What model are you running?" or "What is the latest model from OpenAI?" produce similar quality results to asking the model what the weather will be today. It might return the correct result, but purely by chance. On its own, the model has no real-world information other than what was part of its training/training data. In the case of GPT-4, as of August 2023 the underlying training data goes only up to September 2021. GPT-4 was not released until March 2023, so barring OpenAI releasing a new version with updated training data, or a new version that is fine-tuned to answer those specific questions, it's expected behavior for GPT-4 to respond that GPT-3 is the latest model release from OpenAI.
+          The questions, "What model are you running?" or "What is the latest model from OpenAI?" produce similar quality results to asking the model what the weather will be today. It might return the correct result, but purely by chance. On its own, the model has no real-world information other than what was part of its training/training data. In the case of GPT-4, as of August 2023 the underlying training data goes only up to September 2021. GPT-4 wasn't released until March 2023, so barring OpenAI releasing a new version with updated training data, or a new version that is fine-tuned to answer those specific questions, it's expected behavior for GPT-4 to respond that GPT-3 is the latest model release from OpenAI.
 
           If you wanted to help a GPT based model to accurately respond to the question "what model are you running?", you would need to provide that information to the model through techniques like [prompt engineering of the model's system message](/azure/ai-services/openai/concepts/advanced-prompt-engineering?pivots=programming-language-chat-completions), [Retrieval Augmented Generation (RAG)](/azure/machine-learning/concept-retrieval-augmented-generation?view=azureml-api-2) which is the technique used by [Azure OpenAI on your data](/azure/ai-services/openai/concepts/use-your-data) where up-to-date information is injected to the system message at query time, or via [fine-tuning](/azure/ai-services/openai/how-to/fine-tuning?pivots=programming-language-studio) where you could fine-tune specific versions of the model to answer that question in a certain way based on model version. 
 
@@ -168,7 +168,7 @@ sections:
       - question: |
           Will my web app be overwritten when I deploy the app again from the Azure AI Studio?
         answer:
-          Your app code will not be overwritten when you update your app. The app will be updated to use the Azure OpenAI resource, Azure Cognitive Search index (if you're using Azure OpenAI on your data), and model settings selected in the Azure OpenAI Studio without any change to the appearance or functionality. 
+          Your app code won't be overwritten when you update your app. The app will be updated to use the Azure OpenAI resource, Azure Cognitive Search index (if you're using Azure OpenAI on your data), and model settings selected in the Azure OpenAI Studio without any change to the appearance or functionality. 
   - name: Using your data
     questions:
       - question: |