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Labs 01/02/03/04/06: The ui of the deploy model pop-Up is changed (#81)
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* 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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massimobonanni authored Jul 25, 2024
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11 changes: 5 additions & 6 deletions Instructions/Exercises/01-get-started-azure-openai.md
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Expand Up @@ -48,14 +48,13 @@ Azure OpenAI service provides a web-based portal named **Azure OpenAI Studio**,
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.

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:
- **Deployment name**: *A unique name of your choice*
- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
- **Model version**: Auto-update to default
- **Deployment name**: *A unique name of your choice*
- **Advanced options**
- **Content filter**: Default
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Enable dynamic quota**: Enabled
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Content filter**: Default
- **Enable dynamic quota**: Enabled

> \* 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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11 changes: 5 additions & 6 deletions Instructions/Exercises/02-natural-language-azure-openai.md
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Expand Up @@ -43,14 +43,13 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you

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.
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:
- **Deployment name**: *A unique name of your choice*
- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
- **Model version**: Auto-update to default
- **Deployment name**: *A unique name of your choice. You'll use this name later in the lab.*
- **Advanced options**
- **Content filter**: Default
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Enable dynamic quota**: Enabled
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Content filter**: Default
- **Enable dynamic quota**: Enabled

> \* 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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11 changes: 5 additions & 6 deletions Instructions/Exercises/03-prompt-engineering.md
Original file line number Diff line number Diff line change
Expand Up @@ -43,14 +43,13 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you

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.
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:
- **Deployment name**: *A unique name of your choice*
- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
- **Model version**: Auto-update to default
- **Deployment name**: *A unique name of your choice. You'll use this name later in the lab.*
- **Advanced options**
- **Content filter**: Default
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Enable dynamic quota**: Enabled
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Content filter**: Default
- **Enable dynamic quota**: Enabled

> \* 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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11 changes: 5 additions & 6 deletions Instructions/Exercises/04-code-generation.md
Original file line number Diff line number Diff line change
Expand Up @@ -43,14 +43,13 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you

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.
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:
- **Deployment name**: *A unique name of your choice*
- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
- **Model version**: Auto-update to default
- **Deployment name**: *A unique name of your choice. You'll use this name later in the lab.*
- **Advanced options**
- **Content filter**: Default
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Enable dynamic quota**: Enabled
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Content filter**: Default
- **Enable dynamic quota**: Enabled

> \* 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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13 changes: 6 additions & 7 deletions Instructions/Exercises/06-use-own-data.md
Original file line number Diff line number Diff line change
Expand Up @@ -43,14 +43,13 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you

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.
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:
- **Model**: gpt-35-turbo-16k *(must be this model to use the features in this exercise)*
- **Deployment name**: *A unique name of your choice*
- **Model**: gpt-35-turbo-16k *(if the 16k model isn't available, choose gpt-35-turbo)*
- **Model version**: Auto-update to default
- **Deployment name**: *A unique name of your choice. You'll use this name later in the lab.*
- **Advanced options**
- **Content filter**: Default
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Enable dynamic quota**: Enabled
- **Deployment type**: Standard
- **Tokens per minute rate limit**: 5K\*
- **Content filter**: Default
- **Enable dynamic quota**: Enabled

> \* 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.
Expand Down

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