Merge pull request #5841 from mrbullwinkle/mrb_07_02_2025_freshness_003

[Azure OpenAI] [Freshness] [003]

Author: prmerger-automator[bot]

articles/ai-foundry/openai/concepts/fine-tuning-considerations.md

@@ -4,7 +4,7 @@ description: Learn more about what you should take into consideration before fin
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: conceptual 
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false

articles/ai-foundry/openai/concepts/system-message.md

@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI in Azure AI Foundry Models
 description: Learn about how to construct system messages also know as metaprompts to guide an AI system's behavior.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 ms.custom:
   - ignite-2023
 manager: nitinme

articles/ai-foundry/openai/concepts/understand-embeddings.md

@@ -5,7 +5,7 @@ description: Learn more about how the Azure OpenAI embeddings API uses cosine si
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: tutorial
-ms.date: 03/27/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false

articles/ai-foundry/openai/how-to/completions.md

@@ -5,7 +5,7 @@ description: Learn how to generate or manipulate text, including code by using t
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false

articles/ai-foundry/openai/how-to/json-mode.md

@@ -6,7 +6,7 @@ services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false

articles/ai-foundry/openai/how-to/latency.md

@@ -5,7 +5,7 @@ description: Learn about performance and latency with Azure OpenAI
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle 
 ms.author: mbullwin
 recommendations: false

articles/ai-foundry/openai/how-to/reproducible-output.md

@@ -6,7 +6,7 @@ services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -233,7 +233,7 @@ The point of light began to expand rapidly, creating space and time as it grew.
 By using the same `seed` parameter of 42 for each of our three requests, while keeping all other parameters the same, we're able to produce much more consistent results.
 
 > [!IMPORTANT]  
-> Determinism is not guaranteed with reproducible output. Even in cases where the seed parameter and `system_fingerprint` are the same across API calls it is currently not uncommon to still observe a degree of variability in responses. Identical API calls with larger `max_tokens` values, will generally result in less deterministic responses even when the seed parameter is set.
+> Determinism isn't guaranteed with reproducible output. Even in cases where the seed parameter and `system_fingerprint` are the same across API calls it's currently not uncommon to still observe a degree of variability in responses. Identical API calls with larger `max_tokens` values, will generally result in less deterministic responses even when the seed parameter is set.
 
 ## Parameter details
 

articles/ai-foundry/openai/how-to/work-with-code.md

@@ -5,7 +5,7 @@ description: Learn how to use the Codex models on Azure OpenAI to handle a varie
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 03/26/2025
+ms.date: 07/02/2025
 author: mrbullwinkle
 ms.author: mbullwin
 ---