Learn Databricks GenAI

Image from Databricks Books Book of GenAI.

This is my companion Repo for my Learn Databricks GenAI Linked In Learning course

• Repo includes links, samples and notebooks from course and other supplemental material
  • Use Large Language Models (LLMs) including DBRX (from Databricks)
  • Use open source LLMs, such as Mistral or Llama and others

📚 Content

• For course content, see course page.
• For sample code, see the scripts or notebooks folders in this repo
• For demo setup, see setup page.

📁 Scripts / Notebooks Folder Structure and Usage

The scripts and notebooks folders in this repository are organized into subfolders corresponding to sections from the course.md page. Each subfolder contains links to Python scripts or notebooks named after the links provided in the respective section. These examples serve as references or starting points for exploring the topics mentioned in the links. Here's how to navigate and use the scripts:

• Vector Search in Databricks: Contains scripts or notebooks related to understanding and creating vector search indexes in Databricks.
• RAG-Pattern in Databricks: Includes scripts or notebooks that explain the Retrieval-Augmented Generation (RAG) pattern in Databricks.
• Model Tuning in Databricks: Features scripts or notebooks for understanding Hugging Face Transformers, fine-tuning models, and foundation model training in Databricks.

To use these scripts and notebooks, navigate to the corresponding subfolder and select the script that matches your interest. Each script includes a comment linking back to the original documentation page for further reading and context. The example notebooks are organized similarly.