Researchers Enhance AI Performance on Unfamiliar Tasks Using ‘Dungeons and Dragons’ Techniques for Improved Problem-Solving Skills
Researchers from Beijing University of Posts and Telecommunications have developed a new method called AgentRefine, designed to improve the adaptability of AI agents. Traditional tuning methods restrict agents to tasks similar to their training data, limiting their ability to learn from mistakes. AgentRefine addresses this issue by creating more generalized training datasets that allow agents ...
