LLM systems & agents

Slides from the lecture covering in-context leraning, prompting and advanced LLM systems (“agents”) can be found here.

Additional materials

If you want to dig a bit deeper, here are (optional!) supplementary readings on some of the topics covered in class. References to papers covered in the slides can be found in the slides:

• Blogpost on LLM Powered Autonomous Agents

• Park et al. (2023) Generative agents: Interactive Simulacra of Human Behavior

• Chen et al. (2024) AutoAgents: A Framework for Automatic Agent Generation

• Ahn et al. (2022) Do As I Can, Not As I Say: Grounding Language in Robotic Affordances