Lecture Notes

• Lecture 13:
  1. Text Data Foundations (pre-LLM)
     • Bag-of-Words Model
     • Word Embeddings
     • Topic Modeling
• Lecture 14:
  1. Large Language Models
     • Introduction to LLMs
     • Working with LLMs

Activities

• Assignment #2 due
• In-Class Jupyter Notebook, Part 1
• In-Class Jupyter Notebook, Part 2

Optional Readings:

• Self-Study Topics: Fuzzy String Match
• Self-Study Topics: Keyword-Based Classification
• Self-Study Topics: BM25