Generalist Agent

Generalist agents are artificial intelligence systems designed to perform a wide range of tasks and adapt to diverse environments, unlike specialized agents trained for single purposes. Current research focuses on developing robust model architectures, often incorporating large language models (LLMs) and reinforcement learning (RL), to improve generalization across tasks and modalities, including robotic manipulation, web browsing, and spreadsheet manipulation. These advancements are significant because they move AI closer to truly general-purpose intelligence, with potential applications spanning various fields from software development to personalized education and robotics.

Papers