diff --git a/Instructions/Exercises/02-natural-language-azure-openai.md b/Instructions/Exercises/02-natural-language-azure-openai.md index 76f8a397..312ae2ff 100644 --- a/Instructions/Exercises/02-natural-language-azure-openai.md +++ b/Instructions/Exercises/02-natural-language-azure-openai.md @@ -45,7 +45,7 @@ Azure OpenAI provides a web-based portal named **Azure OpenAI Studio**, that you You'll develop your Azure OpenAI app using Visual Studio Code. The code files for your app have been provided in a GitHub repo. -> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment. +> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment. 1. Start Visual Studio Code. 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder). diff --git a/Instructions/Exercises/03-prompt-engineering.md b/Instructions/Exercises/03-prompt-engineering.md index 00ab93e1..a807a6b4 100644 --- a/Instructions/Exercises/03-prompt-engineering.md +++ b/Instructions/Exercises/03-prompt-engineering.md @@ -157,9 +157,9 @@ Let's start by exploring some prompt engineering techniques in the Chat playgrou ## Prepare to develop an app in Visual Studio Code -Now let's explore the use of prompt engineering in an app that uses the Azure openAI service SDK. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo. +Now let's explore the use of prompt engineering in an app that uses the Azure OpenAI service SDK. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo. -> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment. +> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment. 1. Start Visual Studio Code. 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder). diff --git a/Instructions/Exercises/04-code-generation.md b/Instructions/Exercises/04-code-generation.md index bbf3bdf1..8707ebc9 100644 --- a/Instructions/Exercises/04-code-generation.md +++ b/Instructions/Exercises/04-code-generation.md @@ -107,7 +107,7 @@ Before using in your app, examine how Azure OpenAI can generate and explain code Now let's explore how you could build a custom app that uses Azure OpenAI service to generate code. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo. -> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment. +> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment. 1. Start Visual Studio Code. 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder). diff --git a/Instructions/Exercises/05-generate-images.md b/Instructions/Exercises/05-generate-images.md index 10f47f8c..689c9b91 100644 --- a/Instructions/Exercises/05-generate-images.md +++ b/Instructions/Exercises/05-generate-images.md @@ -45,9 +45,9 @@ The Azure OpenAI service provides a REST API that you can use to submit prompts ### Prepare to develop an app in Visual Studio Code -Now let's explore how you could build a custom app that uses Azure OpenAI service to generate code. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo. +Now let's explore how you could build a custom app that uses Azure OpenAI service to generate images. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo. -> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment. +> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment. 1. Start Visual Studio Code. 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder). diff --git a/Instructions/Exercises/06-use-own-data.md b/Instructions/Exercises/06-use-own-data.md index 553263c9..1d40c1a3 100644 --- a/Instructions/Exercises/06-use-own-data.md +++ b/Instructions/Exercises/06-use-own-data.md @@ -125,9 +125,9 @@ Next, let's explore how to connect your app to use your own data. ### Prepare to develop an app in Visual Studio Code -Now let's explore the use of prompt engineering in an app that uses the Azure openAI service SDK. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo. +Now let's explore the use of your own data in an app that uses the Azure OpenAI service SDK. You'll develop your app using Visual Studio Code. The code files for your app have been provided in a GitHub repo. -> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Othewise, follow these steps to clone it to your development environment. +> **Tip**: If you have already cloned the **mslearn-openai** repo, open it in Visual Studio code. Otherwise, follow these steps to clone it to your development environment. 1. Start Visual Studio Code. 2. Open the palette (SHIFT+CTRL+P) and run a **Git: Clone** command to clone the `https://github.com/MicrosoftLearning/mslearn-openai` repository to a local folder (it doesn't matter which folder).