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https://github.com/kevinknights29/databricks_llm102x
This project contains the lab notebooks from course: Large Language Models: Foundation Models from the Ground Up
https://github.com/kevinknights29/databricks_llm102x
databricks jupyter-notebook llm
Last synced: 23 days ago
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This project contains the lab notebooks from course: Large Language Models: Foundation Models from the Ground Up
- Host: GitHub
- URL: https://github.com/kevinknights29/databricks_llm102x
- Owner: kevinknights29
- License: other
- Created: 2023-09-30T02:14:43.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-24T02:49:59.000Z (7 months ago)
- Last Synced: 2024-05-08T00:23:58.069Z (6 months ago)
- Topics: databricks, jupyter-notebook, llm
- Language: Jupyter Notebook
- Homepage:
- Size: 15.1 MB
- Stars: 3
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Databricks_LLM102x
This project contains the lab notebooks from course: Large Language Models: Foundation Models from the Ground Up
## Modules
1. Transformer Architecture: Attention and Transformer Fundamentals
2. Efficient Fine Tuning
3. Deployment and Hardware Considerations
4. Beyond Text Based LLMs: Multi-Modality
## 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:
```bash
docker compose build .
```
2. After that you can start the container with:
```bash
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`
4. To stop the container, run:
```bash
docker compose down
```