Navigating LLMs and Data Privacy

This chapter explores the intricate design and functionality of large language models (LLMs), emphasizing their reliance on trained data and coded instructions. The discussion includes the implications of data privacy, the differentiation between model types, and the need for secure AI development practices amidst rising concerns over unauthorized data access. It further examines the evolving role of computer engineers and the future of AI in the workforce, alongside the importance of licensing and intellectual property in the realm of generative AI.