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Merge pull request #845 from ybot1122/misc-typo-fixes
Miscellaneous Typos + Sentence Clarifications
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00-course-setup/README.md

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2. **Create the `.env` File**: Use your preferred text editor to create a new file named `.env`. If you're using the command line, you can use `touch` (on Unix-based systems) or `echo` (on Windows):
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Unix-based systems:
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```bash
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touch .env
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```
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Windows:
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```cmd
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echo . > .env
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```
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Once you have everything checked out, you can get started!
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## Optional Steps
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## Optional Steps
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### Installing Miniconda
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### Installing Miniconda
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[Miniconda](https://conda.io/en/latest/miniconda.html?WT.mc_id=academic-105485-koreyst) is a lightweight installer for installing [Conda](https://docs.conda.io/en/latest?WT.mc_id=academic-105485-koreyst), Python, as well as a few packages.
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Conda itself is a package manager, that makes it easy to setup and switch between different Python [**virtual environments**](https://docs.python.org/3/tutorial/venv.html?WT.mc_id=academic-105485-koreyst) and packages. It also comes in handy for installing packages that are not available via `pip`.
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```yml
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name: <environment-name>
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channels:
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- defaults
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- microsoft
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- defaults
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- microsoft
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dependencies:
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- python=<python-version>
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- openai
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- python-dotenv
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- pip
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- pip:
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- azure-ai-ml
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- python=<python-version>
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- openai
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- python-dotenv
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- pip
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- pip:
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- azure-ai-ml
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```
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If you find you getting errors using conda you can mannually install the Microsoft AI Libraries using the following command in a terminal.
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If you find you getting errors using conda you can manually install the Microsoft AI Libraries using the following command in a terminal.
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```
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conda install -c microsoft azure-ai-ml
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### Running in a container
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An alternative to setting everything up on your computer or Codespace is to use a [container](https://en.wikipedia.org/wiki/Containerization_(computing)?WT.mc_id=academic-105485-koreyst). The special `.devcontainer` folder within the course repository makes it possible for VS Code to set up the project within a container. Outside of Codespaces, this will require the installation of Docker, and quite frankly, it involves a bit of work, so we recommend this only to those with experience working with containers.
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An alternative to setting everything up on your computer or Codespace is to use a [container](<https://en.wikipedia.org/wiki/Containerization_(computing)?WT.mc_id=academic-105485-koreyst>). The special `.devcontainer` folder within the course repository makes it possible for VS Code to set up the project within a container. Outside of Codespaces, this will require the installation of Docker, and quite frankly, it involves a bit of work, so we recommend this only to those with experience working with containers.
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One of the best ways to keep your API keys secure when using GitHub Codespaces is by using Codespace Secrets. Please follow the [Codespaces secrets management](https://docs.github.com/en/codespaces/managing-your-codespaces/managing-secrets-for-your-codespaces?WT.mc_id=academic-105485-koreyst) guide to learn more about this.
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03-using-generative-ai-responsibly/README.md

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- Providing instructions or encouraging self-harm or harm to certain groups.
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- Hateful or demeaning content.
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- Guiding planning any type of attack or violent acts.
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- Guiding the planning of any type of attack or violent acts.
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- Providing instructions on how to find illegal content or commit illegal acts.
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- Displaying sexually explicit content.
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06-text-generation-apps/README.md

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## 🚀 Challenge
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When working on the assignment, try to vary the temperature, try set it to 0, 0.5, and 1. Remember that 0 is the least varied and 1 is the most, what value works best for your app?
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When working on the assignment, try to vary the temperature, try setting it to 0, 0.5, and 1. Remember that 0 is the least varied and 1 is the most. What value works best for your app?
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## Great Work! Continue Your Learning
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