This repo contains the notebooks and slides for the Large Language Models: Foundation Models from the Ground Up course on edX & Databricks Academy.
Note: this is the second course in the two-part series. For the first installment please see the course on edX & Databricks Academy as well as the supporting repo.
Notebooks
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You first need to add Git credentials to Databricks. Refer to documentation here.
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Click
Reposin the sidebar. ClickAdd Repoon the top right. -
Clone the "HTTPS" URL from GitHub, or copy
https://github.com/databricks-academy/llm-foundation-models.gitand paste into the boxGit repository URL. The rest of the fields, i.e.Git providerandRepository name, will be automatically populated. ClickCreate Repoon the bottom right.
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You can download the notebooks from a release by navigating to the releases section on the GitHub page:
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From the releases page, download the
.dbcfile. This contains all of the course notebooks, with the structure and meta data. -
In your Databricks workspace, navigate to the Workspace menu, click on Home and select
Import: -
Using the import tool, navigate to the location on your computer where the
.dbcfile was dowloaded from Step 1. Once you select the file, clickImport, and the files will be loaded and extracted to your workspace:
Cluster settings
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First, select
Single Node -
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
i3.2xlargefor Module 2 and 4 notebooks.






