Lab 1 — First Contact

Lab 1 — First Contact

Read first: Chapter 2 (What LLMs Are).

Look at this graph from Financial Times. Your task is to recreate this figure using real-world data.

Use AI as your assistant to find real-world data that matches or closely resembles the one used in the FT graph, and recreate the same chart using that data.

Success Criteria:

  • Data accuracy: Real Treasury yield and tariff announcement data
  • Design fidelity: Similar visual style, annotations, and layout
  • Code quality: Reproducible workflow with clear documentation

what to submit and grading

  • Graph: A PDF version of your recreated graph, name it: “lastname_firstname_dawai_week01_ftfigure.pdf” (10p)
  • Data: A CSV file with the data used to create the graph, with the name (“lastname_firstname_dawai_week01_ftdata.csv”) (4p)
  • Code (any language) (“lastname_firstname_dawai_week01_ftdata.py or .R”), scripts or notebooks also OK. (2p)
  • One para text on experience with AI: what model you used, was easy, where was human interaction needed. (“lastname_firstname_dawai_week01_ftdata.txt or .md”) (4p)

AI and me

  1. How did AI support you in this lab?
  2. How did AI fail you?
  3. How did AI extend you?