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Labs 01/02/03/04/06: The ui of the deploy model pop-Up is changed (MicrosoftLearning#81)
* LAB01: The UI of the model deployment pop-up is changed * LAB02: The UI of the deployment model pop-up is changed * LAB03: the UI of the deployment model pop-up is changed * LAB 04: the UI of the deployment model pop-up is changed * LAB06: The UI of the Deploy model pop-up is changed
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‎Instructions/Exercises/01-get-started-azure-openai.md

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@@ -48,14 +48,13 @@ Azure OpenAI service provides a web-based portal named **Azure OpenAI Studio**,
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After the new tab opens, you can close any banner notifications for new preview services that are displayed at the top of the Azure OpenAI Studio page.
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1. In Azure OpenAI Studio, in the pane on the left, select the **Deployments** page and view your existing model deployments. If you don't already have one, create a new deployment of the **gpt-35-turbo-16k** model with the following settings:
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- **Deployment name**: *A unique name of your choice*
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- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
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- **Model version**: Auto-update to default
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- **Deployment name**: *A unique name of your choice*
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- **Advanced options**
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- **Content filter**: Default
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Enable dynamic quota**: Enabled
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Content filter**: Default
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- **Enable dynamic quota**: Enabled
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> \* A rate limit of 5,000 tokens per minute is more than adequate to complete this exercise while leaving capacity for other people using the same subscription.
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‎Instructions/Exercises/02-natural-language-azure-openai.md

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@@ -43,14 +43,13 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you
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1. On the **Overview** page for your Azure OpenAI resource, use the **Go to Azure OpenAI Studio** button to open Azure OpenAI Studio in a new browser tab.
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2. In Azure OpenAI Studio, on the **Deployments** page, view your existing model deployments. If you don't already have one, create a new deployment of the **gpt-35-turbo-16k** model with the following settings:
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- **Deployment name**: *A unique name of your choice*
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- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
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- **Model version**: Auto-update to default
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- **Deployment name**: *A unique name of your choice. You'll use this name later in the lab.*
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- **Advanced options**
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- **Content filter**: Default
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Enable dynamic quota**: Enabled
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Content filter**: Default
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- **Enable dynamic quota**: Enabled
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> \* A rate limit of 5,000 tokens per minute is more than adequate to complete this exercise while leaving capacity for other people using the same subscription.
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‎Instructions/Exercises/03-prompt-engineering.md

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@@ -43,14 +43,13 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you
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1. On the **Overview** page for your Azure OpenAI resource, use the **Go to Azure OpenAI Studio** button to open Azure OpenAI Studio in a new browser tab.
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2. In Azure OpenAI Studio, on the **Deployments** page, view your existing model deployments. If you don't already have one, create a new deployment of the **gpt-35-turbo-16k** model with the following settings:
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- **Deployment name**: *A unique name of your choice*
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- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
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- **Model version**: Auto-update to default
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- **Deployment name**: *A unique name of your choice. You'll use this name later in the lab.*
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- **Advanced options**
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- **Content filter**: Default
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Enable dynamic quota**: Enabled
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Content filter**: Default
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- **Enable dynamic quota**: Enabled
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> \* A rate limit of 5,000 tokens per minute is more than adequate to complete this exercise while leaving capacity for other people using the same subscription.
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‎Instructions/Exercises/04-code-generation.md

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@@ -43,14 +43,13 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you
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1. On the **Overview** page for your Azure OpenAI resource, use the **Go to Azure OpenAI Studio** button to open Azure OpenAI Studio in a new browser tab.
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2. In Azure OpenAI Studio, on the **Deployments** page, view your existing model deployments. If you don't already have one, create a new deployment of the **gpt-35-turbo-16k** model with the following settings:
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- **Deployment name**: *A unique name of your choice*
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- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
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- **Model version**: Auto-update to default
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- **Deployment name**: *A unique name of your choice. You'll use this name later in the lab.*
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- **Advanced options**
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- **Content filter**: Default
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Enable dynamic quota**: Enabled
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Content filter**: Default
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- **Enable dynamic quota**: Enabled
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> \* A rate limit of 5,000 tokens per minute is more than adequate to complete this exercise while leaving capacity for other people using the same subscription.
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‎Instructions/Exercises/06-use-own-data.md

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@@ -43,14 +43,13 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you
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1. On the **Overview** page for your Azure OpenAI resource, use the **Go to Azure OpenAI Studio** button to open Azure OpenAI Studio in a new browser tab.
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2. In Azure OpenAI Studio, on the **Deployments** page, view your existing model deployments. If you don't already have one, create a new deployment of the **gpt-35-turbo-16k** model with the following settings:
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- **Model**: gpt-35-turbo-16k *(must be this model to use the features in this exercise)*
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- **Deployment name**: *A unique name of your choice*
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- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
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- **Model version**: Auto-update to default
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- **Deployment name**: *A unique name of your choice. You'll use this name later in the lab.*
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- **Advanced options**
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- **Content filter**: Default
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Enable dynamic quota**: Enabled
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- **Deployment type**: Standard
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- **Tokens per minute rate limit**: 5K\*
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- **Content filter**: Default
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- **Enable dynamic quota**: Enabled
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> \* A rate limit of 5,000 tokens per minute is more than adequate to complete this exercise while leaving capacity for other people using the same subscription.
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