Yongchao Chen

Yongchao Chen, a final-year PhD student at Harvard and MIT, discusses his groundbreaking work on TUMIX (Tool-Use Mixture). He explains how a diverse ensemble of agents can significantly improve AI's accuracy by leveraging different tool-use strategies. Chen highlights the limitations of current models, which often struggle to decide when to use tools effectively. Through empirical tests, he shares remarkable results where TUMIX outperforms state-of-the-art methods, emphasizing the importance of agent diversity and collaborative refinement for enhancing AI performance.