ChatT2: An Adaptive Framework for Developing a Large Language Model-Based Agent for Natural Product Domain Research
This research highlights how ChatT2, designed with this multiagent framework, addresses the challenges faced by general LLMs in terms of understanding limited, specialized corpora and complex biological information and provides both experts and novices with a valuable tool for exploring various NPs of interest.
Yi-Han Wang, Qian-Di Gao, Yi Zhuang et al.
· 0 citations