Prompt Engineering Techniques

Getting started

Jupyter Installation

If you use conda, mamba, or pip, you can install JupyterLab with one of the following commands.

• If you use conda:

  conda install -c conda-forge jupyterlab

• If you use mamba:

  mamba install -c conda-forge jupyterlab

• If you use pip:

  pip install jupyterlab

  If installing using pip install --user, you must add the user-level bin directory to your PATH environment variable in order to launch jupyter lab. If you are using a Unix derivative (e.g., FreeBSD, GNU/Linux, macOS), you can do this by running export PATH="$HOME/.local/bin:$PATH". If you are using a macOS version that comes with Python 2, run pip3 instead of pip.

For more detailed instructions, consult the installation guide.

Environment

The project uses dotenv. So you should either create .env file in the project root with the following properties or export them as environment variables.

OPENAI_API_KEY=sk-...
GOOGLE_CSE_ID=...
GOOGLE_API_KEY=...

Create OpenAI API Key using this guide.

Create the GOOGLE_API_KEY in the Google Cloud credential console (https://console.cloud.google.com/apis/credentials) and a GOOGLE_CSE_ID using the Programmable Search Engine (https://programmablesearchengine.google.com/controlpanel/create).