A New, Interactive Approach to Learning Data Science
-
Updated
Jan 21, 2022 - Jupyter Notebook
A New, Interactive Approach to Learning Data Science
The code from the Machine Learning Bookcamp book and a free course based on the book
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
Add a description, image, and links to the course-repos topic page so that developers can more easily learn about it.
To associate your repository with the course-repos topic, visit your repo's landing page and select "manage topics."