/llm-foundation-models

Primary LanguagePythonOtherNOASSERTION

Large Language Models: Foundation Models from the Ground Up

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

How to Import the Repo into Databricks?

  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.

    repo_1

  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.

    add_repo

How to Import the files from .dbc releases on GitHub

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

    github_release=

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

    github_assets

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

    workspace_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:

    select_import_file
Cluster settings

Which Databricks cluster should I use?

  1. First, select Single Node

    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.

    cluster

    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.

    cpu_settings
Slides

Where do I download course slides?

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