1. You first need to add Git credentials to Databricks. Refer to documentation here.

2. Click Repos in the sidebar. Click Add Repo on the top right.

   

3. Clone the "HTTPS" URL from GitHub, or copy https://github.com/databricks-academy/llm-foundation-models.git and paste into the box Git repository URL. The rest of the fields, i.e. Git provider and Repository name, will be automatically populated. Click Create Repo on the bottom right.

   

1. You can download the notebooks from a release by navigating to the releases section on the GitHub page:

   

2. From the releases page, download the .dbc file. This contains all of the course notebooks, with the structure and meta data.

   

3. In your Databricks workspace, navigate to the Workspace menu, click on Home and select Import:

   

4. Using the import tool, navigate to the location on your computer where the .dbc file was dowloaded from Step 1. Once you select the file, click Import, and the files will be loaded and extracted to your workspace:

   

1. First, select Single Node

   

2. This courseware has been tested on Databricks Runtime 13.3 LTS for Machine Learning. If you do not have access to a 13.3 LTS ML Runtime cluster, you will need to install many additional libraries (as the ML Runtime pre-installs many commonly used machine learning packages), and this courseware is not guaranteed to run.

   

   For Module 1 and 3 notebooks, you can run them on i3.xlarge just fine. We recommend i3.2xlarge for Module 2 and 4 notebooks.

   

Please click the latest version under the Releases section. You will be able to download the slides in PDF.