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Limitations of Large Language Models | Ep. 3
Manage episode 453493144 series 3615152
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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.
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