Workshop Outline:
Following the previous workshops on Data Handling and Visualisation in Python in the Skills for Analytics workshop series, this session will introduce some common techniques for working with Large Language Models (LLMs) in applied data science use cases including data cleaning, enrichment and retrieval augmented generation (RAG).
We will be using Google Colaboratory (https://colab.research.google.com/) during the workshop, so please ensure you have a Google account you can use to access this prior to attending. For the RAG segment of this workshop, we will be using Pinecone.io. Please additionally sign up for a free pinecone account here prior to attending.
Prerequisites: Laptop, internet access, Google Colab account and a basic knowledge of Python.