fix yaml metadata

Author: ivorb

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/1-introduction.yml

@@ -5,10 +5,10 @@ metadata:
   title: Introduction
   description: Introduction to optimizing generative AI model performance with Microsoft Foundry.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.topic: unit
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
 durationInMinutes: 2
 content: |
   [!include[](includes/1-introduction.md)]

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/2-prompt-engineering.yml

@@ -5,10 +5,10 @@ metadata:
   title: Optimize model output with prompt engineering
   description: Learn how to use prompt engineering techniques including system messages, prompt patterns, and model parameters to optimize language model output.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.topic: unit
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
 durationInMinutes: 9
 content: |
   [!include[](includes/2-prompt-engineering.md)]

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/3-retrieval-augmented-generation.yml

@@ -5,10 +5,10 @@ metadata:
   title: Ground your model with Retrieval Augmented Generation
   description: Learn when and how to use Retrieval Augmented Generation (RAG) to ground a language model with domain-specific data for more accurate responses.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.topic: unit
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
 durationInMinutes: 9
 content: |
   [!include[](includes/3-retrieval-augmented-generation.md)]

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/4-fine-tune-model.yml

@@ -5,10 +5,10 @@ metadata:
   title: Fine-tune a model for consistent behavior
   description: Learn when and how to fine-tune a language model to maximize behavioral consistency, including supervised fine-tuning, reinforcement fine-tuning, and Direct Preference Optimization.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.topic: unit
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
 durationInMinutes: 9
 content: |
   [!include[](includes/4-fine-tune-model.md)]

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/5-compare-combine-strategies.yml

@@ -5,10 +5,10 @@ metadata:
   title: Compare and combine optimization strategies
   description: Compare prompt engineering, RAG, and fine-tuning strategies and learn when and how to combine them for optimal generative AI model performance.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.topic: unit
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
 durationInMinutes: 7
 content: |
   [!include[](includes/5-compare-combine-strategies.md)]

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/6-exercise.yml

@@ -5,10 +5,10 @@ metadata:
   title: Exercise - Optimize generative AI model performance
   description: Exercise - Optimize generative AI model performance using Microsoft Foundry.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.topic: unit
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
 durationInMinutes: 60
 content: |
   [!include[](includes/6-exercise.md)]

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/7-knowledge-check.yml

@@ -5,10 +5,10 @@ metadata:
   title: Module assessment
   description: Knowledge check about optimizing generative AI model performance.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.topic: unit
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
   module_assessment: true
 durationInMinutes: 3
 content: |

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/8-summary.yml

@@ -5,10 +5,10 @@ metadata:
   title: Summary
   description: Summary of optimizing generative AI model performance with Microsoft Foundry.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.topic: unit
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
 durationInMinutes: 2
 content: |
   [!include[](includes/8-summary.md)]

learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/index.yml

@@ -4,11 +4,11 @@ metadata:
   title: Optimize generative AI model performance with Microsoft Foundry
   description: Explore complementary strategies to optimize generative AI model performance, including prompt engineering, system messages, model parameters, Retrieval Augmented Generation (RAG), and fine-tuning. Learn when to use each strategy and how to combine them.
   author: ivorb
-  ms.author: ivorb
+  ms.author: berryivor
   ms.date: 02/24/2026
   ms.service: azure-ai-foundry
   ms.topic: module-standard-task-based
-  ai-usage: ai-generated
+  ai-usage: ai-assisted
   ms.custom: ai-learning-hub
 title: Optimize generative AI model performance with Microsoft Foundry
 summary: "Explore complementary strategies to optimize generative AI model performance. Learn how to apply prompt engineering, ground your model with RAG, and fine-tune for consistent behavior—and when to combine these approaches."