Exploring Agentic Systems in AI

This chapter discusses the recent developments in agentic systems, examining their definitions, frameworks, and practical applications, especially in finance. It contrasts workflow-based and autonomous agent approaches, addressing the integration of language models and the need for responsible system building. The dialogue also highlights the complexities of evaluating these systems, emphasizing metrics like traceability and observability to ensure reliability and efficiency.