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Merge pull request #50214 from GraemeMalcolm/main
Refresh DALL-E module
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‎learn-pr/wwl-data-ai/generate-images-azure-openai/1-introduction.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: Overview of DALL-E in Azure OpenAI service
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/1-introduction.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: Overview of DALL-E image generation models
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author: ivorb
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ms.author: berryivor
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ms.date: 04/29/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/1-introduction.md)]
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‎learn-pr/wwl-data-ai/generate-images-azure-openai/2-what-is-dall-e.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.what-is-dall-e
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title: What is DALL-E?
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metadata:
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title: What is DALL-E?
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description: Explore image generation capabilities of DALL-E in Azure OpenAI service
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 2
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content: |
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[!include[](includes/2-what-is-dall-e.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.what-is-dall-e
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title: What is DALL-E?
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metadata:
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title: What is DALL-E?
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description: Explore DALL-E models
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author: ivorb
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ms.author: berryivor
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ms.date: 04/29/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 2
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content: |
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[!include[](includes/2-what-is-dall-e.md)]
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‎learn-pr/wwl-data-ai/generate-images-azure-openai/3-dall-e-in-openai-studio.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.dall-e-in-openai-studio
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title: Explore DALL-E in Azure AI Studio
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metadata:
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title: Explore DALL-E in Azure AI Studio
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description: Use the playground in Azure AI Studio to explore DALL-E image generation
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/3-dall-e-in-openai-studio.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.dall-e-in-openai-studio
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title: Explore DALL-E in Azure AI Foundry portal
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metadata:
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title: Explore DALL-E in Azure AI Foundry portal
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description: Use the playground in Azure AI Foundry portal to explore DALL-E image generation
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author: ivorb
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ms.author: berryivor
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ms.date: 04/29/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/3-dall-e-in-openai-studio.md)]
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‎learn-pr/wwl-data-ai/generate-images-azure-openai/4-dall-e-rest-api.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.dall-e-rest-api
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title: Use the Azure OpenAI REST API to consume DALL-E models
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metadata:
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title: Use the Azure OpenAI REST API to consume DALL-E models
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description: Use the Azure OpenAI REST API to consume DALL-E models and generate images
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/4-dall-e-rest-api.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.dall-e-rest-api
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title: Use the Azure OpenAI REST API to consume DALL-E models
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metadata:
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title: Create a client application to consume DALL-E models
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description: Use APIs and SDKs to consume DALL-E models and generate images
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author: ivorb
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ms.author: berryivor
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ms.date: 04/29/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/4-dall-e-rest-api.md)]
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‎learn-pr/wwl-data-ai/generate-images-azure-openai/5-exercise-use-dall-e.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.exercise-use-dall-e
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title: Exercise - Generate images with a DALL-E model
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metadata:
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title: Exercise - Generate images with a DALL-E model
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description: Hands-on exercise to use DALL-E in Azure OpenAI service
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 20
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content: |
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[!include[](includes/5-exercise-use-dall-e.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.exercise-use-dall-e
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title: Exercise - Generate images with a DALL-E model
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metadata:
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title: Exercise - Generate images with AI
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description: Hands-on exercise to use DALL-E in Azure OpenAI service
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author: ivorb
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ms.author: berryivor
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ms.date: 04/29/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 20
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content: |
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[!include[](includes/5-exercise-use-dall-e.md)]
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‎learn-pr/wwl-data-ai/generate-images-azure-openai/6-knowledge-check.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.knowledge-check
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title: Module assessment
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metadata:
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title: Module assessment
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description: Check your knowledge of using DALL-E in Azure OpenAI service
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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quiz:
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questions:
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- content: "You want to use a model in Azure OpenAI to generate images. Which model should you use?"
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choices:
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- content: "DALL-E"
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isCorrect: true
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explanation: "The DALL-E model is used to generate images based on natural language prompts."
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- content: "GPT-35-Turbo"
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isCorrect: false
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explanation: "The GPT 3.5 Turbo model is used to generate natural language text."
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- content: "Text-Davinci"
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isCorrect: false
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explanation: "The Text-Davinci model is used to generate natural language text."
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- content: "Which playground in Azure AI Studio should you use to utilize the DALL-E model?"
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choices:
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- content: "Completions"
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isCorrect: false
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explanation: "The Completions playground is used to explore GPT 3 and earlier language generation models."
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- content: "Chat"
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isCorrect: false
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explanation: "The Chat playground is used to explore GPT 3 and earlier language generation models."
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- content: "Images"
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isCorrect: true
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explanation: "The Images playground is used to explore image generation models."
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- content: "In a REST request to generate images, what does the **n** parameter indicate?"
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choices:
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- content: "The description of the desired image."
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isCorrect: false
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explanation: "The image description is provided in the **prompt** parameter."
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- content: "The number of images to be generated"
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isCorrect: true
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explanation: "The number of images to be generated is specified in the **n** parameter."
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- content: "The size of the image to be generated"
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isCorrect: false
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explanation: "The size of the desired image is specified in the **size** parameter"
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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.knowledge-check
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title: Module assessment
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metadata:
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title: Module assessment
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description: Check your knowledge of using DALL-E in Azure OpenAI service
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author: ivorb
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ms.author: berryivor
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ms.date: 04/29/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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quiz:
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questions:
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- content: "You want to use a model in Azure AI Foundry to generate images. Which model should you use?"
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choices:
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- content: "DALL-E"
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isCorrect: true
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explanation: "The DALL-E model is used to generate images based on natural language prompts."
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- content: "GPT-4o"
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isCorrect: false
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explanation: "The GPT 4o model is used to generate natural language text."
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- content: "text-embedding-ada-002"
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isCorrect: false
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explanation: "The text-embedding-ada-002 model is used to generate embeddings (vectors that represent text tokens)."
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- content: "Which playground in Azure AI Foundry portal should you use to utilize the DALL-E model?"
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choices:
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- content: "Agents"
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isCorrect: false
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explanation: "The Agents playground is used to test AI agents."
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- content: "Chat"
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isCorrect: false
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explanation: "The Chat playground is used to explore GPT 3 and earlier language generation models."
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- content: "Images"
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isCorrect: true
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explanation: "The Images playground is used to explore image generation models."
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- content: "In a REST request to generate images, what does the **n** parameter indicate?"
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choices:
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- content: "The description of the desired image."
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isCorrect: false
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explanation: "The image description is provided in the **prompt** parameter."
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- content: "The number of images to be generated"
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isCorrect: true
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explanation: "The number of images to be generated is specified in the **n** parameter."
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- content: "The size of the image to be generated"
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isCorrect: false
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explanation: "The size of the desired image is specified in the **size** parameter"
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‎learn-pr/wwl-data-ai/generate-images-azure-openai/7-summary.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.summary
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title: Summary
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metadata:
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title: Summary
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description: Summarize what you've learned about DALL-E models in the Azure OpenAI service
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author: ivorb
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ms.author: berryivor
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ms.date: 03/18/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/7-summary.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.generate-images-azure-openai.summary
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title: Summary
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metadata:
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title: Summary
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description: Summarize what you've learned about DALL-E models
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author: ivorb
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ms.author: berryivor
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ms.date: 04/29/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/7-summary.md)]
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‎learn-pr/wwl-data-ai/generate-images-azure-openai/includes/1-introduction.md

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The Azure OpenAI service enables you to use language models to generate content based on natural language prompts. One of these models is the DALL-E image generation model, which is capable of creating original graphical content based on natural language descriptions of a desired image.
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Azure AI Foundry enables you to use language models to generate content based on natural language prompts. One of these models is the OpenAI DALL-E image generation model, which is capable of creating original graphical content based on natural language descriptions of a desired image.
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The ability to use AI to generate graphics has a number of applications; including the creation of illustrations or photorealistic images for articles or marketing collateral, generation of unique product or company logos, or any scenario where a desired image can be described.
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In this module, you'll learn how to use the DALL-E model in an instance of the Azure OpenAI service, and retrieve the images it generates.
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In this module, you'll learn how to develop an application that uses the DALL-E model to generate and retrieve images.

‎learn-pr/wwl-data-ai/generate-images-azure-openai/includes/2-what-is-dall-e.md

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DALL-E is a neural network based model that can generate graphical data from natural language input. Put more simply, you can provide DALL-E with a description and it can generate an appropriate image.
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DALL-E is a generative AI model that can generate graphical data from natural language input. Put more simply, you can provide a DALL-E model with a description and it can generate an appropriate image.
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For example, you might submit the following natural language prompt to DALL-E:
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![A picture of a squirrel on a motorcycle.](../media/squirrel-on-motorcycle.png)
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The images generated by DALL-E are original; they are not retrieved from a curated image catalog. In other words, DALL-E is not a search system for *finding* appropriate images - it is an artificial intelligence (AI) model that *generates* new images based on the data on which it was trained.
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The images generated by DALL-E models are original; they are not retrieved from a curated image catalog. In other words, DALL-E is not a search system for *finding* appropriate images - it is an artificial intelligence (AI) model that *generates* new images based on the data on which it was trained.

‎learn-pr/wwl-data-ai/generate-images-azure-openai/includes/3-dall-e-in-openai-studio.md

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To experiment with DALL-E, you can provision an Azure OpenAI Service resource in an Azure subscription and use the *Images playground* to submit prompts and view the resulting generated images.
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To experiment with DALL-E models, you can create an Azure AI Foundry project (or provision an Azure OpenAI Service resource in an Azure subscription) and use the *Images playground* in Azure AI Foundry portal to submit prompts and view the resulting generated images.
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![A screenshot of the Images playground in Azure AI Studio.](../media/images-playground.png)
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