#tool utilization

Agent-FLAN improves large language models by seamlessly integrating agent abilities. It tackles issues such as hallucinations and data distribution shifts, enhancing performance on agent evaluation datasets by 3.5%. Utilizing AgentInstruct and Toolbench datasets, it achieves better learning paces. Available on HuggingFace and OpenXLab, it marks significant progress in agent task performance and general abilities of LLMs.