Databricks_LLM101x
This project contains the lab notebooks from course: Large Language Models: Application through Production by Databricks
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Ecosystems:
Jupyter Notebook
Databricks_LLM101x
This project contains the lab notebooks from course: Large Language Models: Application through Production by Databricks
Modules
- LLMs with Hugging Face
- Embeddings, Vector DBs, and Search
- Building LLM Chains
- LLM Evaluation
Usage
To run Databricks' labs you can leverage Docker with the instructions below:
-
For first time usage, you need to build the Docker image:
docker compose build . -
After that you can start the container with:
docker compose up -d -
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
-
To stop the container, run:
docker compose down