Samuel Fernando

Samuel Fernando is an AI architect who specializes in the emerging field of context engineering, a discipline focused on curating and managing the information that AI models access before generating responses. He emphasizes the shift from traditional prompt engineering to a broader strategy that involves organizing complex data environments to enhance the performance of large language models (LLMs). Samuel discusses the importance of integrating AI with historical conversation data, external tools, and sophisticated data architectures to improve decision-making and interaction efficiency in business contexts.