Prompt Engineering for LLMs - Notebooks and Exercises

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

1. Sign up for Openai and Serp API

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

OpenAI

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

Serp API

Sign up a free account here: https://serpapi.com/. You will need to verify your email address as well as enter a phone number. Once done, you can generate an API key

2. Check out the repo

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

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

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

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

cd maven-pe-for-llms

3. Setup the environment

Conda

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

Next, activate the conda environment.

conda activate pe-for-llms

Finally, add the kernel to Jupyter.

python -m ipykernel install --user --name pe-for-llms

Python environment

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

4. Install the packages

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

pip install -r requirements.txt

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