Coding & Math with LLMs and Agents

Jefferson Building, Room 450, 17 Oxford Street, Cambridge, MA 02138

Instructors

Michelle Audirac and Mauricio Tec

Learning Outcomes

  • LLM APIs in Python
  • LLM thinking/reasoning
  • Agents: tool-use and coding agents
  • Vibe coding & best practices

Use Cases

  • Use LLMs within your Python
  • projects.
  • Assisted mathematical proofs with LLMs.
  • Perform literature search with deep research
  • Perform faster data analysis assisted by agents.

Prerequisites

  • Basic Python knowledge and experience with Jupyter notebooks and/or Google Colab.
  • An LLM API key. Groq offers a free-tier to many models.
  • A vscode installation with the latest update and the Github copilot extension.