Pre-work¶

These are the required applications and general installation notes for this workshop.

You'll need:

Ollama - This application allows you to locally host an LLM model on your computer.
Visual Studio Code - We'll be walking through an extension to VSCode in this workshop.
Python - Python is required because of InstructLab, and the demo code will be run on it.

Ollama¶

Mac installation steps¶

Download via the Ollama website¶

Download Ollama via the website.

Unzip the folder, and move the Ollama app to your applications folder.

Terminal Installation¶

Open up a terminal, and install homebrew.

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

After the installation is complete, install ollama via brew.

brew install ollama

Windows installation steps¶

Install ollama via the website here.

Visual Studio Code¶

Mac installation steps¶

Open up a terminal, and install homebrew, if you didn't install this during the Ollama step.

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

After the installation is complete, install vscode via brew.

brew install --cask visual-studio-code

Python¶

Python is a whole programming language. There are multiple ways to install it, and here is the official website. Please take a moment and if you can't run the following command, reach out to a teaching assistant or instructor to help you get resolved.

Note

If you have an older version of python, or default "OS" versions of python, you'll need to update.

python --version
Python 3.11.4

Mac installation steps¶

Terminal Installation¶

If you need to install Python via brew please do the following:

brew install python@3.11

Please confirm that your python --version is at least 3.11+ for the best experience.

With this you should have the applications you need, let's start the workshop!