Skip to content

This project contains the lab notebooks from course: Large Language Models: Application through Production by Databricks

License

Notifications You must be signed in to change notification settings

coral2009cufe/Databricks_LLM101x

 
 

Repository files navigation

Databricks_LLM101x

This project contains the lab notebooks from course: Large Language Models: Application through Production by Databricks

Modules

  1. LLMs with Hugging Face
  2. Embeddings, Vector DBs, and Search
  3. Building LLM Chains
  4. LLM Evaluation

Usage

To run Databricks' labs you can leverage Docker with the instructions below:

  1. For first time usage, you need to build the Docker image:

    docker compose build .
  2. After that you can start the container with:

    docker compose up -d
  3. Go to Docker desktop, to retrieve your jupyterlab access URL.

    • Click the container name, to open the logs.
    • Retrive the jupyterlab URL, it should look like: http://127.0.0.1:8888/lab?token=4150032f3603c85febf54b8b40bb761a2eb46e2fb593d5dc

    image

  4. To stop the container, run:

    docker compose down

About

This project contains the lab notebooks from course: Large Language Models: Application through Production by Databricks

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 63.7%
  • Python 35.8%
  • Dockerfile 0.5%