Limitations of Large Language Models | Ep. 3

In this episode, Allan Tate and Irving Wladawsky-Berger explore the evolving implications and limitations of large language models (LLMs) in AI. Irving highlights that, while LLMs show remarkable capabilities, they also face significant limitations, particularly in understanding context, reasoning, and maintaining accuracy in complex applications. The discussion addresses the need for business leaders to recognize both the opportunities and constraints of LLMs, as well as the importance of integrating these insights to leverage AI responsibly within organizations.

Save the Date:
The next MIT Sloan CIO Symposium will take place on May 20, 2025, with a special VIP pre-event on May 19.

Join Our Online Community:
Dive deeper into these topics by joining the MIT Sloan CIO Symposium online community. Access exclusive content, live events, and discussions with IT practitioners and innovators shaping the future of technology.