Welcome to the notebooks and exercises for the Prompt Engineering for LLMs course.

To run the notebooks in this repo, you are required to sign up for an OpenAI paid account.

Sign up for a paid account here: https://platform.openai.com/. Once done, you can generate an API key.

git clone https://github.com/dair-ai/maven-pe-for-llms-9.git
cd maven-pe-for-llms-9

If you already have the repo, go into it and make sure you have the latest.

cd maven-pe-for-llms-9
git pull origin master

If you have downloaded the zipped file instead, unzip it and go into the directory.

cd maven-pe-for-llms-9

If you don't have conda, you can install it here.

Once installed, run the following command to create a new environment called pe-for-llms.

conda create -n pe-for-llms python=3.9

Next, activate the conda environment.

conda activate pe-for-llms

If you don't want to use conda, you can create a virtual environment using Python's venv module.

python3 -m venv .venv

Next, activate your environment (the command below is for Linux)

source .venv/bin/activate

Next, install the dependencies inside the requirements.txt file.

pip install -r requirements.txt

Run the prepare exercise notebook (found inside the exercises folder). Before attempting the preparation exercise, add a .env file to your root folder and add your OPENAI_API_KEY.

That's it! You're all set to start working on the notebooks and exercises.