arxiv Preprint - AgentTuning: Enabling Generalized Agent Abilities for LLMs

In this episode we discuss AgentTuning: Enabling Generalized Agent Abilities for LLMs by Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang. AgentTuning is a method that enhances the agent abilities of large language models (LLMs) while maintaining their general capabilities. It introduces AgentInstruct, a lightweight instruction-tuning dataset, and combines it with open-source instructions from general domains. The resulting model, AgentLM, demonstrates generalized agent capabilities comparable to commercial LLMs.