The Rise and Potential of Large Language Model Based Agents

TLDR:

This intriguing paper delves into the creation of autonomous agents through the emulation of human brain functions, perception, and actions. It introduces a conceptual framework for LLM-based agents consisting of three core components:

1. The “brain” module, acting as the central controller, handles fundamental tasks such as memory retention, cognitive processes, and decision-making.

2. The “perception” module is responsible for sensing and processing diverse information from the external environment, encompassing various sensory inputs.

3. The “action” module executes tasks using tools and exerts influence over the agent’s surroundings, enabling it to interact effectively with its environment.