LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

Boshi Wang, Hao Fang, Jason Eisner +2

Tools are essential for large language models (LLMs) to acquire up-to-date information and take consequential actions in external environments. Existing work on tool-augmented LLMs…