Dyad: Extending Large Language Models with Native Typed Decision-Making

Yundaichuan Zhan, Weishi Wang, Wenbiao Liu +5

We study how to build more capable general-purpose agents by extending large language models (LLMs) with native typed decision-making. We introduce Dyad, an architecture that augme…