Risks of Competitor Queries and Data Privacy in Large Language Models (LLMs)

The chapter delves into the concerns surrounding competitors using LLMs to extract sensitive inside information, emphasizing data privacy and security measures such as customer data exclusion and customized fine-tuning. It also explores the growing accuracy of model outputs, the varied adoption of generative AI among customers, with a focus on customer service applications, and the guest's cybersecurity expertise in navigating cyber threats and espionage motivations.