In this interview for MIT SMR Voices, Albert Phelps, Co-founder of Tomoro.ai, discusses how leveraging human communication skills in prompt engineering maximizes AI potential, enhances collaboration, and drives enterprise innovation.
How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.
Even as organizations adopt increasingly powerful LLMs, they will find it difficult to shed their reliance on humans.
Overestimating the capabilities of AI models like ChatGPT can lead to unreliable applications.
Commercial AI services can put proprietary data at risk — but there are alternatives.
