
The podcast features a presentation by Shunyu Yao on his PhD thesis about language agents, which are AI systems designed to reason and act in digital environments. Yao discusses the limitations of current AI methods and introduces digital automation as a new benchmark for AI agents. He explains how language models can be used to create agents that can reason and act, and introduces the concept of "React," where agents use language models to generate reasoning traces and actions. Yao also presents a conceptual framework called Koala for understanding and categorizing different language agents based on memory, action, and decision-making. The presentation concludes with a Q&A session where Yao answers questions about the future of language agents, their potential applications, and the challenges in their development.
Sign in to continue reading, translating and more.
Continue