Introduction¶
Open Source AI Workshop¶
Welcome to our workshop! In this workshop we'll be using a local AI Model for code completion, as well as training a model locally to help it gain some knowledge.
- Understand what Open Source AI is, and its general use cases
- How to use an AI model that is built in a verifiable and legal way
- Learn a suggested workflow on how to fine tune a model with new knowledge and skills!
About this workshop¶
The introductory page of the workshop is broken down into the following sections:
Agenda¶
| Lab 0: Pre-work | Pre-work for the project |
| Lab 1: Building a local AI co-pilot | Let's get it installed! |
| Lab 2: Using the local AI co-pilot | Let's learn about how to use a local AI co-pilot |
| Lab 3: Configuring AnythingLLM | Let's configure AnythingLLM |
| Lab 4: Prompt engineering overview | Let's learn about leveraging the granite-3.0-dense model |
| Lab 5: Useful prompts and use cases | Let's get some good over arching prompts and uses cases with granite-3.0-dense model |
Compatibility¶
This workshop has been tested on the following platforms:
- MacOS: version 14.5
- Linux: Fedora 40