Building Trust in Domain-Specific Models

This chapter explores the changing perceptions of trust in large language models, emphasizing their potential as authoritative sources. It proposes the development of domain-specific models for improved accuracy, especially in specialized fields such as medicine, and discusses the possible benefits of integrating these models into a more powerful 'supermodel' for tailored responses.