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From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs
Feb. 29, 2024, 5:45 a.m. | Yulong Liu, Yunlong Yuan, Chunwei Wang, Jianhua Han, Yongqiang Ma, Li Zhang, Nanning Zheng, Hang Xu
cs.CV updates on arXiv.org arxiv.org
Abstract: The distinction between humans and animals lies in the unique ability of humans to use and create tools. Tools empower humans to overcome physiological limitations, fostering the creation of magnificent civilizations. Similarly, enabling foundational models like Large Language Models (LLMs) with the capacity to learn external tool usage may serve as a pivotal step toward realizing artificial general intelligence. Previous studies in this field have predominantly pursued two distinct approaches to augment the tool invocation …
abstract animals apis arxiv cs.ai cs.cl cs.cv enabling foundational models humans language language models large language large language models lies limitations llms summary tasks tools type world
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