Project Nov 2025 1 min read

LLM Agent Tutorial

Public tutorial hub for learning LLM agents through guided concepts, practical examples, and companion reading materials.

Related publication: Hands-on LLM-based Agents: A Tutorial for General Audiences · TechRxiv

LLM Agent Tutorial

This project page serves as the public entry point for the tutorial website, where readers can move from agent basics to hands-on examples and a broader roadmap of the space.

The emphasis here is usability and onboarding: a clean learning path, companion materials, and direct access to the tutorial PDF for readers who want to study offline or cite the work.

If you want the learning experience, start with the website. If you want citation details and the formal record, open the paper page or TechRxiv version.

Jinyi Liu
Authors
Ph.D. Candidate Reinforcement Learning and LLM Systems